Question: Were Scott Derrickson and Ed Wood of the same nationality?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Were Scott Derrickson and Ed Wood of the same nationality?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What is the nationality of Scott Derrickson?; Answer: American. Should we stop planning?

The executed result for Subgoal 2 is Question: What is the nationality of Ed Wood?; Answer: American. Should we stop planning?

The executed result for Subgoal 3 is Question: Determine if Scott Derrickson and Ed Wood are of the same nationality.; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the nationality of Ed Wood.

No, I will keep planning. Subgoal 3: Determine if Scott Derrickson and Ed Wood are of the same nationality.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Were Scott Derrickson and Ed Wood of the same nationality?
Subgoal to be grounded: Subgoal 1: Obtain the nationality of Scott Derrickson.

Subgoal to be grounded: Subgoal 2: Obtain the nationality of Ed Wood. The grounding could be based on the following results: The execution result for Subgoal 1 is American

Subgoal to be grounded: Subgoal 3: Determine if Scott Derrickson and Ed Wood are of the same nationality. The grounding could be based on the following results: The execution result for Subgoal 1 is American The execution result for Subgoal 2 is American

R1 = KnowledgeQuery(Scott Derrickson); R2 = ParagraphRetrieve(R1, Query: What is the nationality of Scott Derrickson?); R3 = QA([R2], Question: What is the nationality of Scott Derrickson?)

R4 = KnowledgeQuery(Ed Wood); R5 = ParagraphRetrieve(R4, Query: What is the nationality of Ed Wood?); R6 = QA([R5], Question: What is the nationality of Ed Wood?)

Answer: yes

R3 = QA([R2], Question: What is the nationality of Scott Derrickson?) = Question: What is the nationality of Scott Derrickson?; Answer: American

R6 = QA([R5], Question: What is the nationality of Ed Wood?) = Question: What is the nationality of Ed Wood?; Answer: American

R7 = Calculator(R3 == R6) = Question: Determine if Scott Derrickson and Ed Wood are of the same nationality.; Answer: Yes


Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who played Corliss Archer in the film Kiss and Tell?; Answer: Shirley Temple. Should we stop planning?

The executed result for Subgoal 2 is Question: What government position did Shirley Temple hold?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States. Should we stop planning?

The executed result for Subgoal 3 is Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the government position held by the actress identified in Subgoal 1.

No, I will keep planning. Subgoal 3: Determine the government position held by the woman who portrayed Corliss Archer in the film Kiss and Tell.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?
Subgoal to be grounded: Subgoal 1: Identify the actress who portrayed Corliss Archer in the film Kiss and Tell.

Subgoal to be grounded: Subgoal 2: Identify the government position held by the actress identified in Subgoal 1. The grounding could be based on the following results: The execution result for Subgoal 1 is Shirley Temple

Subgoal to be grounded: Subgoal 3: Determine the government position held by the woman who portrayed Corliss Archer in the film Kiss and Tell. The grounding could be based on the following results: The execution result for Subgoal 1 is Shirley Temple The execution result for Subgoal 2 is 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States

R1 = KnowledgeQuery(Kiss and Tell); R2 = ParagraphRetrieve(R1, Query: Who played Corliss Archer in the film Kiss and Tell?); R3 = QA([R2], Question: Who played Corliss Archer in the film Kiss and Tell?)

R4 = KnowledgeQuery(Shirley Temple); R5 = ParagraphRetrieve(R4, Query: What government position did Shirley Temple hold?); R6 = QA([R5], Question: What government position did Shirley Temple hold?)

Answer: Chief of Protocol

R3 = QA([R2], Question: Who played Corliss Archer in the film Kiss and Tell?) = Question: Who played Corliss Archer in the film Kiss and Tell?; Answer: Shirley Temple

R6 = QA([R5], Question: What government position did Shirley Temple hold?) = Question: What government position did Shirley Temple hold?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States

R7 = QA([R3, R6], Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?) = Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States


Question: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What series is narrated in first person?; Answer: Jane Eyre, Gulliver's Travels, Moby-Dick, Wuthering Heights, Heart of Darkness, Sherlock Holmes stories, The Great Gatsby.. Should we stop planning?

The executed result for Subgoal 2 is Question: What series is a set of companion books narrating the stories of enslaved worlds and alien species?; Answer: The Time Quintet series. Should we stop planning?

The executed result for Subgoal 3 is Question: Determine if the series identified in Subgoal 1 is the same as the one identified in Subgoal 2.; Answer: No. Should we stop planning?

The executed result for Subgoal 4 is Question: What series is both narrated in first person and a set of companion books narrating the stories of enslaved worlds and alien species?; Answer: Animorphs series. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the series that is a set of companion books narrating the stories of enslaved worlds and alien species.

No, I will keep planning. Subgoal 3: Determine if the series identified in Subgoal 1 is the same as the one identified in Subgoal 2.

No, I will keep planning. Subgoal 4: Identify the series that is both narrated in first person and a set of companion books narrating the stories of enslaved worlds and alien species.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?
Subgoal to be grounded: Subgoal 1: Identify the series narrated in first person.

Subgoal to be grounded: Subgoal 2: Identify the series that is a set of companion books narrating the stories of enslaved worlds and alien species. The grounding could be based on the following results: The execution result for Subgoal 1 is Jane Eyre, Gulliver's Travels, Moby-Dick, Wuthering Heights, Heart of Darkness, Sherlock Holmes stories, The Great Gatsby.

Subgoal to be grounded: Subgoal 3: Determine if the series identified in Subgoal 1 is the same as the one identified in Subgoal 2. The grounding could be based on the following results: The execution result for Subgoal 1 is Jane Eyre, Gulliver's Travels, Moby-Dick, Wuthering Heights, Heart of Darkness, Sherlock Holmes stories, The Great Gatsby. The execution result for Subgoal 2 is The Time Quintet series

Subgoal to be grounded: Subgoal 4: Identify the series that is both narrated in first person and a set of companion books narrating the stories of enslaved worlds and alien species. The grounding could be based on the following results: The execution result for Subgoal 1 is Jane Eyre, Gulliver's Travels, Moby-Dick, Wuthering Heights, Heart of Darkness, Sherlock Holmes stories, The Great Gatsby. The execution result for Subgoal 2 is The Time Quintet series The execution result for Subgoal 3 is No

R1 = KnowledgeQuery(first person narration); R2 = ParagraphRetrieve(R1, Query: What series is narrated in first person?); R3 = QA([R2], Question: What series is narrated in first person?)

R4 = KnowledgeQuery(companion books); R5 = ParagraphRetrieve(R4, Query: What series is a set of companion books narrating the stories of enslaved worlds and alien species?); R6 = QA([R5], Question: What series is a set of companion books narrating the stories of enslaved worlds and alien species?)

Answer: Animorphs

R3 = QA([R2], Question: What series is narrated in first person?) = Question: What series is narrated in first person?; Answer: Jane Eyre, Gulliver's Travels, Moby-Dick, Wuthering Heights, Heart of Darkness, Sherlock Holmes stories, The Great Gatsby.

R6 = QA([R5], Question: What series is a set of companion books narrating the stories of enslaved worlds and alien species?) = Question: What series is a set of companion books narrating the stories of enslaved worlds and alien species?; Answer: The Time Quintet series

R7 = Calculator(R3 == R6) = Question: Determine if the series identified in Subgoal 1 is the same as the one identified in Subgoal 2.; Answer: No

R8 = QA([R3, R5, R7], Question: What series is both narrated in first person and a set of companion books narrating the stories of enslaved worlds and alien species?) = Question: What series is both narrated in first person and a set of companion books narrating the stories of enslaved worlds and alien species?; Answer: Animorphs series


Question: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Where is Laleli Mosque located?; Answer: Istanbul, Turkey. Should we stop planning?

The executed result for Subgoal 2 is Question: Where is Esma Sultan Mansion located?; Answer: Ortaköy, Istanbul, Turkey. Should we stop planning?

The executed result for Subgoal 3 is Question: Are Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?; Answer: No. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the location of Esma Sultan Mansion.

No, I will keep planning. Subgoal 3: Determine if Laleli Mosque and Esma Sultan Mansion are located in the same neighborhood.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?
Subgoal to be grounded: Subgoal 1: Obtain the location of Laleli Mosque.

Subgoal to be grounded: Subgoal 2: Obtain the location of Esma Sultan Mansion. The grounding could be based on the following results: The execution result for Subgoal 1 is Istanbul, Turkey

Subgoal to be grounded: Subgoal 3: Determine if Laleli Mosque and Esma Sultan Mansion are located in the same neighborhood. The grounding could be based on the following results: The execution result for Subgoal 1 is Istanbul, Turkey The execution result for Subgoal 2 is Ortaköy, Istanbul, Turkey

R1 = KnowledgeQuery(Laleli Mosque); R2 = ParagraphRetrieve(R1, Query: Laleli Mosque location); R3 = QA([R2], Question: Where is Laleli Mosque located?)

R4 = KnowledgeQuery(Esma Sultan Mansion); R5 = ParagraphRetrieve(R4, Query: Where is Esma Sultan Mansion located?); R6 = QA([R5], Question: Where is Esma Sultan Mansion located?)

Answer: no

R3 = QA([R2], Question: Where is Laleli Mosque located?) = Question: Where is Laleli Mosque located?; Answer: Istanbul, Turkey

R6 = QA([R5], Question: Where is Esma Sultan Mansion located?) = Question: Where is Esma Sultan Mansion located?; Answer: Ortaköy, Istanbul, Turkey

R7 = QA([R3, R6], Question: Are Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?) = Question: Are Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?; Answer: No


Question: The director of the romantic comedy "Big Stone Gap" is based in what New York city?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: The director of the romantic comedy "Big Stone Gap" is based in what New York city?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who is the director of 'Big Stone Gap'?; Answer: Adriana Trigiani. Should we stop planning?

The executed result for Subgoal 2 is Question: Where does Adriana Trigiani reside?; Answer: New York City. Should we stop planning?

The executed result for Subgoal 3 is Question: The director of the romantic comedy 'Big Stone Gap' is based in what New York city?; Answer: New York City. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the residence of the director.

No, I will keep planning. Subgoal 3: Determine the New York city where the director of "Big Stone Gap" is based.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: The director of the romantic comedy "Big Stone Gap" is based in what New York city?
Subgoal to be grounded: Subgoal 1: Identify the director of the romantic comedy "Big Stone Gap".

Subgoal to be grounded: Subgoal 2: Determine the residence of the director. The grounding could be based on the following results: The execution result for Subgoal 1 is Adriana Trigiani

Subgoal to be grounded: Subgoal 3: Determine the New York city where the director of "Big Stone Gap" is based. The grounding could be based on the following results: The execution result for Subgoal 1 is Adriana Trigiani The execution result for Subgoal 2 is New York City

R1 = KnowledgeQuery('Big Stone Gap'); R2 = ParagraphRetrieve(R1, Query: Who is the director of 'Big Stone Gap'?); R3 = QA([R2], Question: Who is the director of 'Big Stone Gap'?)

R4 = KnowledgeQuery('Adriana Trigiani'); R5 = ParagraphRetrieve(R4, Query: Where does Adriana Trigiani reside?); R6 = QA([R5], Question: Where does Adriana Trigiani reside?)

Answer: Greenwich Village, New York City

R3 = QA([R2], Question: Who is the director of 'Big Stone Gap'?) = Question: Who is the director of 'Big Stone Gap'?; Answer: Adriana Trigiani

R6 = QA([R5], Question: Where does Adriana Trigiani reside?) = Question: Where does Adriana Trigiani reside?; Answer: New York City

R7 = QA([R3, R6], Question: The director of the romantic comedy 'Big Stone Gap' is based in what New York city?) = Question: The director of the romantic comedy 'Big Stone Gap' is based in what New York city?; Answer: New York City


Question: 2014 S/S is the debut album of a South Korean boy group that was formed by who?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: 2014 S/S is the debut album of a South Korean boy group that was formed by who?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Which South Korean boy group debuted in 2014?; Answer: HALO. Should we stop planning?

The executed result for Subgoal 2 is Question: Who formed the South Korean boy group HALO?; Answer: Histar Entertainment. Should we stop planning?

The executed result for Subgoal 3 is Question: Who formed the South Korean boy group that debuted in 2014?; Answer: Histar Entertainment. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the company that formed the South Korean boy group HALO.

No, I will keep planning. Subgoal 3: Determine who formed the South Korean boy group that debuted in 2014.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: 2014 S/S is the debut album of a South Korean boy group that was formed by who?
Subgoal to be grounded: Subgoal 1: Identify the South Korean boy group that debuted in 2014.

Subgoal to be grounded: Subgoal 2: Identify the company that formed the South Korean boy group HALO. The grounding could be based on the following results: The execution result for Subgoal 1 is HALO

Subgoal to be grounded: Subgoal 3: Determine who formed the South Korean boy group that debuted in 2014. The grounding could be based on the following results: The execution result for Subgoal 1 is HALO The execution result for Subgoal 2 is Histar Entertainment

R1 = KnowledgeQuery(2014 South Korean boy group); R2 = ParagraphRetrieve(R1, Query: Which South Korean boy group debuted in 2014?); R3 = QA([R2], Question: Which South Korean boy group debuted in 2014?)

R4 = KnowledgeQuery(HALO); R5 = ParagraphRetrieve(R4, Query: Who formed the South Korean boy group HALO?); R6 = QA([R5], Question: Who formed the South Korean boy group HALO?)

Answer: YG Entertainment

R3 = QA([R2], Question: Which South Korean boy group debuted in 2014?) = Question: Which South Korean boy group debuted in 2014?; Answer: HALO

R6 = QA([R5], Question: Who formed the South Korean boy group HALO?) = Question: Who formed the South Korean boy group HALO?; Answer: Histar Entertainment

R7 = QA([R3, R6], Question: Who formed the South Korean boy group that debuted in 2014?) = Question: Who formed the South Korean boy group that debuted in 2014?; Answer: Histar Entertainment


Question: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who was known by his stage name Aladin?; Answer: Tony Pallante. Should we stop planning?

The executed result for Subgoal 2 is No answer.. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine what organizations Tony Pallante helped improve their performance as a consultant.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?
Subgoal to be grounded: Subgoal 1: Identify who was known by his stage name Aladin.

Subgoal to be grounded: Subgoal 2: Determine what organizations Tony Pallante helped improve their performance as a consultant. The grounding could be based on the following results: The execution result for Subgoal 1 is Tony Pallante

R1 = KnowledgeQuery(Aladin); R2 = ParagraphRetrieve(R1, Query: Who was known by his stage name Aladin?); R3 = QA([R2], Question: Who was known by his stage name Aladin?)

R4 = KnowledgeQuery(Tony Pallante); R5 = ParagraphRetrieve(R4, Query: What organizations did Tony Pallante help improve their performance as a consultant?); R6 = QA([R5], Question: What organizations did Tony Pallante help improve their performance as a consultant?)

Answer: Eenasul Fateh

R3 = QA([R2], Question: Who was known by his stage name Aladin?) = Question: Who was known by his stage name Aladin?; Answer: Tony Pallante

R6 = QA([R5], Question: What organizations did Tony Pallante help improve their performance as a consultant?) = No answer.


Question: The arena where the Lewiston Maineiacs played their home games can seat how many people?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: The arena where the Lewiston Maineiacs played their home games can seat how many people?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Where did the Lewiston Maineiacs play their home games?; Answer: Androscoggin Bank Colisée. Should we stop planning?

The executed result for Subgoal 2 is Question: How many people can the Androscoggin Bank Colisée seat?; Answer: 3,677. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the seating capacity of the identified arena.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: The arena where the Lewiston Maineiacs played their home games can seat how many people?
Subgoal to be grounded: Subgoal 1: Identify the arena where the Lewiston Maineiacs played their home games.

Subgoal to be grounded: Subgoal 2: Determine the seating capacity of the identified arena. The grounding could be based on the following results: The execution result for Subgoal 1 is Androscoggin Bank Colisée

R1 = KnowledgeQuery(Lewiston Maineiacs); R2 = ParagraphRetrieve(R1, Query: Where did the Lewiston Maineiacs play their home games?); R3 = QA([R2], Question: Where did the Lewiston Maineiacs play their home games?)

R4 = KnowledgeQuery(Androscoggin Bank Colisée); R5 = ParagraphRetrieve(R4, Query: How many people can the Androscoggin Bank Colisée seat?); R6 = QA([R5], Question: How many people can the Androscoggin Bank Colisée seat?)

Answer: 3,677 seated

R3 = QA([R2], Question: Where did the Lewiston Maineiacs play their home games?) = Question: Where did the Lewiston Maineiacs play their home games?; Answer: Androscoggin Bank Colisée

R6 = QA([R5], Question: How many people can the Androscoggin Bank Colisée seat?) = Question: How many people can the Androscoggin Bank Colisée seat?; Answer: 3,677


Question: Who is older, Annie Morton or Terry Richardson?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Who is older, Annie Morton or Terry Richardson?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: How old is Annie Morton?; Answer: October 8, 1970. Should we stop planning?

The executed result for Subgoal 2 is Question: How old is Terry Richardson?; Answer: 58. Should we stop planning?

The executed result for Subgoal 3 is Question: Determine who is older, Annie Morton or Terry Richardson.; Answer: Terry Richardson. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the age of Terry Richardson.

No, I will keep planning. Subgoal 3: Determine who is older, Annie Morton or Terry Richardson.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Who is older, Annie Morton or Terry Richardson?
Subgoal to be grounded: Subgoal 1: Obtain the age of Annie Morton.

Subgoal to be grounded: Subgoal 2: Obtain the age of Terry Richardson. The grounding could be based on the following results: The execution result for Subgoal 1 is October 8, 1970

Subgoal to be grounded: Subgoal 3: Determine who is older, Annie Morton or Terry Richardson. The grounding could be based on the following results: The execution result for Subgoal 1 is October 8, 1970 The execution result for Subgoal 2 is 58

R1 = KnowledgeQuery(Annie Morton); R2 = ParagraphRetrieve(R1, Query: How old is Annie Morton?); R3 = QA([R2], Question: How old is Annie Morton?)

R4 = KnowledgeQuery(Terry Richardson); R5 = ParagraphRetrieve(R4, Query: How old is Terry Richardson?); R6 = QA([R5], Question: How old is Terry Richardson?)

Answer: Terry Richardson

R3 = QA([R2], Question: How old is Annie Morton?) = Question: How old is Annie Morton?; Answer: October 8, 1970

R6 = QA([R5], Question: How old is Terry Richardson?) = Question: How old is Terry Richardson?; Answer: 58

R7 = Calculator(R3 > R6) = Question: Determine who is older, Annie Morton or Terry Richardson.; Answer: Terry Richardson


Question: Are Local H and For Against both from the United States?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Are Local H and For Against both from the United States?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Where was Local H formed?; Answer: Zion, Illinois, U.S.. Should we stop planning?

The executed result for Subgoal 2 is Question: Where was For Against formed?; Answer: Lincoln, Nebraska, United States. Should we stop planning?

The executed result for Subgoal 3 is Question: Are Local H and For Against both from the United States?; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the location of formation for For Against.

No, I will keep planning. Subgoal 3: Determine if both Local H and For Against are from the United States.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Are Local H and For Against both from the United States?
Subgoal to be grounded: Subgoal 1: Obtain the location of formation for Local H.

Subgoal to be grounded: Subgoal 2: Obtain the location of formation for For Against. The grounding could be based on the following results: The execution result for Subgoal 1 is Zion, Illinois, U.S.

Subgoal to be grounded: Subgoal 3: Determine if both Local H and For Against are from the United States. The grounding could be based on the following results: The execution result for Subgoal 1 is Zion, Illinois, U.S. The execution result for Subgoal 2 is Lincoln, Nebraska, United States

R1 = KnowledgeQuery(Local H); R2 = ParagraphRetrieve(R1, Query: Where was Local H formed?); R3 = QA([R2], Question: Where was Local H formed?)

R4 = KnowledgeQuery(For Against); R5 = ParagraphRetrieve(R4, Query: Where was For Against formed?); R6 = QA([R5], Question: Where was For Against formed?)

Answer: yes

R3 = QA([R2], Question: Where was Local H formed?) = Question: Where was Local H formed?; Answer: Zion, Illinois, U.S.

R6 = QA([R5], Question: Where was For Against formed?) = Question: Where was For Against formed?; Answer: Lincoln, Nebraska, United States

R7 = QA([R3, R6], Question: Are Local H and For Against both from the United States?) = Question: Are Local H and For Against both from the United States?; Answer: Yes


Question: What is the name of the fight song of the university whose main campus is in Lawrence, Kansas and whose branch campuses are in the Kansas City metropolitan area?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What is the name of the fight song of the university whose main campus is in Lawrence, Kansas and whose branch campuses are in the Kansas City metropolitan area?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: The University of Kansas has its main campus in Lawrence, Kansas and branch campuses in the Kansas City metropolitan area; Answer: True. Should we stop planning?

The executed result for Subgoal 2 is Question: What is the fight song of the University of Kansas?; Answer: I'm a Jayhawk. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the fight song of the university identified in Subgoal 1.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What is the name of the fight song of the university whose main campus is in Lawrence, Kansas and whose branch campuses are in the Kansas City metropolitan area?
Subgoal to be grounded: Subgoal 1: Identify the university whose main campus is in Lawrence, Kansas and whose branch campuses are in the Kansas City metropolitan area.

Subgoal to be grounded: Subgoal 2: Identify the fight song of the university identified in Subgoal 1. The grounding could be based on the following results: The execution result for Subgoal 1 is True

R1 = KnowledgeQuery(University of Kansas); R2 = ParagraphRetrieve(R1, Query: The University of Kansas has its main campus in Lawrence, Kansas and branch campuses in the Kansas City metropolitan area); R3 = QA([R2], Question: The University of Kansas has its main campus in Lawrence, Kansas and branch campuses in the Kansas City metropolitan area)

R4 = KnowledgeQuery(University of Kansas fight song); R5 = ParagraphRetrieve(R4, Query: What is the fight song of the University of Kansas?); R6 = QA([R5], Question: What is the fight song of the University of Kansas?)

Answer: Kansas Song

R3 = QA([R2], Question: The University of Kansas has its main campus in Lawrence, Kansas and branch campuses in the Kansas City metropolitan area) = Question: The University of Kansas has its main campus in Lawrence, Kansas and branch campuses in the Kansas City metropolitan area; Answer: True

R6 = QA([R5], Question: What is the fight song of the University of Kansas?) = Question: What is the fight song of the University of Kansas?; Answer: I'm a Jayhawk


Question: What screenwriter with credits for "Evolution" co-wrote a film starring Nicolas Cage and Téa Leoni?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What screenwriter with credits for "Evolution" co-wrote a film starring Nicolas Cage and Téa Leoni?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who is the screenwriter of the film "Evolution"?; Answer: David Diamond, David Weissman, Don Jakoby. Should we stop planning?

The executed result for Subgoal 2 is Question: What film did Nicolas Cage and Téa Leoni star in?; Answer: The Family Man. Should we stop planning?

The executed result for Subgoal 3 is Question: Who is the screenwriter of the film "The Family Man"?; Answer: David Diamond and David Weissman. Should we stop planning?

The executed result for Subgoal 4 is Question: Did the screenwriter of "Evolution" co-write the film starring Nicolas Cage and Téa Leoni?; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the film that Nicolas Cage and Téa Leoni starred in.

No, I will keep planning. Subgoal 3: Identify the screenwriter of the film "The Family Man".

No, I will keep planning. Subgoal 4: Determine if the screenwriter of "Evolution" co-wrote the film starring Nicolas Cage and Téa Leoni.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What screenwriter with credits for "Evolution" co-wrote a film starring Nicolas Cage and Téa Leoni?
Subgoal to be grounded: Subgoal 1: Identify the screenwriter of the film "Evolution".

Subgoal to be grounded: Subgoal 2: Identify the film that Nicolas Cage and Téa Leoni starred in. The grounding could be based on the following results: The execution result for Subgoal 1 is David Diamond, David Weissman, Don Jakoby

Subgoal to be grounded: Subgoal 3: Identify the screenwriter of the film "The Family Man". The grounding could be based on the following results: The execution result for Subgoal 1 is David Diamond, David Weissman, Don Jakoby The execution result for Subgoal 2 is The Family Man

Subgoal to be grounded: Subgoal 4: Determine if the screenwriter of "Evolution" co-wrote the film starring Nicolas Cage and Téa Leoni. The grounding could be based on the following results: The execution result for Subgoal 1 is David Diamond, David Weissman, Don Jakoby The execution result for Subgoal 2 is The Family Man The execution result for Subgoal 3 is David Diamond and David Weissman

R1 = KnowledgeQuery(Evolution (film)); R2 = ParagraphRetrieve(R1, Query: Who is the screenwriter of the film "Evolution"?); R3 = QA([R2], Question: Who is the screenwriter of the film "Evolution"?)

R4 = KnowledgeQuery(Nicolas Cage, Téa Leoni); R5 = ParagraphRetrieve(R4, Query: What film did Nicolas Cage and Téa Leoni star in?); R6 = QA([R5], Question: What film did Nicolas Cage and Téa Leoni star in?)

R7 = KnowledgeQuery(The Family Man); R8 = ParagraphRetrieve(R7, Query: Who is the screenwriter of the film "The Family Man"?); R9 = QA([R8], Question: Who is the screenwriter of the film "The Family Man"?)

Answer: David Weissman

R3 = QA([R2], Question: Who is the screenwriter of the film "Evolution"?) = Question: Who is the screenwriter of the film "Evolution"?; Answer: David Diamond, David Weissman, Don Jakoby

R6 = QA([R5], Question: What film did Nicolas Cage and Téa Leoni star in?) = Question: What film did Nicolas Cage and Téa Leoni star in?; Answer: The Family Man

R9 = QA([R8], Question: Who is the screenwriter of the film "The Family Man"?) = Question: Who is the screenwriter of the film "The Family Man"?; Answer: David Diamond and David Weissman

R10 = QA([R3, R6, R9], Question: Did the screenwriter of "Evolution" co-write the film starring Nicolas Cage and Téa Leoni?) = Question: Did the screenwriter of "Evolution" co-write the film starring Nicolas Cage and Téa Leoni?; Answer: Yes


Question: What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What movie did Arnold Schwarzenegger star in as a former New York Police detective?; Answer: End of Days. Should we stop planning?

The executed result for Subgoal 2 is Question: When did Guns N Roses perform a promo for End of Days?; Answer: November 1999. Should we stop planning?

The executed result for Subgoal 3 is Question: What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?; Answer: November 1999. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine when Guns N Roses performed a promo for the identified movie.

No, I will keep planning. Subgoal 3: Confirm the year Guns N Roses performed a promo for the movie starring Arnold Schwarzenegger as a former New York Police detective.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?
Subgoal to be grounded: Subgoal 1: Identify the movie starring Arnold Schwarzenegger as a former New York Police detective.

Subgoal to be grounded: Subgoal 2: Determine when Guns N Roses performed a promo for the identified movie. The grounding could be based on the following results: The execution result for Subgoal 1 is End of Days

Subgoal to be grounded: Subgoal 3: Confirm the year Guns N Roses performed a promo for the movie starring Arnold Schwarzenegger as a former New York Police detective. The grounding could be based on the following results: The execution result for Subgoal 1 is End of Days The execution result for Subgoal 2 is November 1999

R1 = KnowledgeQuery(Arnold Schwarzenegger); R2 = ParagraphRetrieve(R1, Query: What movie did Arnold Schwarzenegger star in as a former New York Police detective?); R3 = QA([R2], Question: What movie did Arnold Schwarzenegger star in as a former New York Police detective?)

R4 = KnowledgeQuery(Guns N Roses); R5 = ParagraphRetrieve(R4, Query: When did Guns N Roses perform a promo for End of Days?); R6 = QA([R5], Question: When did Guns N Roses perform a promo for End of Days?)

Answer: 1999

R3 = QA([R2], Question: What movie did Arnold Schwarzenegger star in as a former New York Police detective?) = Question: What movie did Arnold Schwarzenegger star in as a former New York Police detective?; Answer: End of Days

R6 = QA([R5], Question: When did Guns N Roses perform a promo for End of Days?) = Question: When did Guns N Roses perform a promo for End of Days?; Answer: November 1999

R7 = QA([R3, R6], Question: What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?) = Question: What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?; Answer: November 1999


Question: Are Random House Tower and 888 7th Avenue both used for real estate?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Are Random House Tower and 888 7th Avenue both used for real estate?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Random House Tower is part of which building?; Answer: Park Imperial Apartments. Should we stop planning?

The executed result for Subgoal 2 is Question: 888 7th Avenue is part of which building?; Answer: Vornado Realty Trust corporate headquarters.. Should we stop planning?

The executed result for Subgoal 3 is Question: Are Park Imperial Apartments and Vornado Realty Trust corporate headquarters used for real estate?; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the building that 888 7th Avenue is part of.

No, I will keep planning. Subgoal 3: Determine if the buildings identified in Subgoal 1 and Subgoal 2 are used for real estate.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Are Random House Tower and 888 7th Avenue both used for real estate?
Subgoal to be grounded: Subgoal 1: Identify the building that Random House Tower is part of.

Subgoal to be grounded: Subgoal 2: Identify the building that 888 7th Avenue is part of. The grounding could be based on the following results: The execution result for Subgoal 1 is Park Imperial Apartments

Subgoal to be grounded: Subgoal 3: Determine if the buildings identified in Subgoal 1 and Subgoal 2 are used for real estate. The grounding could be based on the following results: The execution result for Subgoal 1 is Park Imperial Apartments The execution result for Subgoal 2 is Vornado Realty Trust corporate headquarters.

R1 = KnowledgeQuery(Random House Tower); R2 = ParagraphRetrieve(R1, Query: Random House Tower is part of which building?); R3 = QA([R2], Question: Random House Tower is part of which building?)

R4 = KnowledgeQuery(888 7th Avenue); R5 = ParagraphRetrieve(R4, Query: 888 7th Avenue is part of which building?); R6 = QA([R5], Question: 888 7th Avenue is part of which building?)

R7 = KnowledgeQuery(Real estate); R8 = ParagraphRetrieve(R7, Query: Are Park Imperial Apartments and Vornado Realty Trust corporate headquarters used for real estate?); R9 = QA([R8], Question: Are Park Imperial Apartments and Vornado Realty Trust corporate headquarters used for real estate?)

Answer: no

R3 = QA([R2], Question: Random House Tower is part of which building?) = Question: Random House Tower is part of which building?; Answer: Park Imperial Apartments

R6 = QA([R5], Question: 888 7th Avenue is part of which building?) = Question: 888 7th Avenue is part of which building?; Answer: Vornado Realty Trust corporate headquarters.

R9 = QA([R8], Question: Are Park Imperial Apartments and Vornado Realty Trust corporate headquarters used for real estate?) = Question: Are Park Imperial Apartments and Vornado Realty Trust corporate headquarters used for real estate?; Answer: Yes


Question: The football manager who recruited David Beckham managed Manchester United during what timeframe?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: The football manager who recruited David Beckham managed Manchester United during what timeframe?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Which football manager recruited David Beckham?; Answer: Sir Alex Ferguson. Should we stop planning?

The executed result for Subgoal 2 is Question: Sir Alex Ferguson managed Manchester United during what timeframe?; Answer: 1986-2013. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the timeframe during which the identified manager managed Manchester United.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: The football manager who recruited David Beckham managed Manchester United during what timeframe?
Subgoal to be grounded: Subgoal 1: Identify the football manager who recruited David Beckham.

Subgoal to be grounded: Subgoal 2: Determine the timeframe during which the identified manager managed Manchester United. The grounding could be based on the following results: The execution result for Subgoal 1 is Sir Alex Ferguson

R1 = KnowledgeQuery(David Beckham); R2 = ParagraphRetrieve(R1, Query: Which football manager recruited David Beckham?); R3 = QA([R2], Question: Which football manager recruited David Beckham?)

R4 = KnowledgeQuery(Sir Alex Ferguson); R5 = ParagraphRetrieve(R4, Query: Sir Alex Ferguson managed Manchester United during what timeframe?); R6 = QA([R5], Question: Sir Alex Ferguson managed Manchester United during what timeframe?)

Answer: from 1986 to 2013

R3 = QA([R2], Question: Which football manager recruited David Beckham?) = Question: Which football manager recruited David Beckham?; Answer: Sir Alex Ferguson

R6 = QA([R5], Question: Sir Alex Ferguson managed Manchester United during what timeframe?) = Question: Sir Alex Ferguson managed Manchester United during what timeframe?; Answer: 1986-2013


Question: Brown State Fishing Lake is in a country that has a population of how many inhabitants ?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Brown State Fishing Lake is in a country that has a population of how many inhabitants ?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: In which country is Brown State Fishing Lake located?; Answer: United States. Should we stop planning?

The executed result for Subgoal 2 is Question: What is the population of United States?; Answer: exceeding 334 million.. Should we stop planning?

The executed result for Subgoal 3 is Question: What is the population of the country where Brown State Fishing Lake is located?; Answer: exceeding 334 million.. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the population of the identified country.

No, I will keep planning. Subgoal 3: Determine the population of the country where Brown State Fishing Lake is located.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Brown State Fishing Lake is in a country that has a population of how many inhabitants ?
Subgoal to be grounded: Subgoal 1: Identify the country where Brown State Fishing Lake is located.

Subgoal to be grounded: Subgoal 2: Determine the population of the identified country. The grounding could be based on the following results: The execution result for Subgoal 1 is United States

Subgoal to be grounded: Subgoal 3: Determine the population of the country where Brown State Fishing Lake is located. The grounding could be based on the following results: The execution result for Subgoal 1 is United States The execution result for Subgoal 2 is exceeding 334 million.

R1 = KnowledgeQuery(Brown State Fishing Lake); R2 = ParagraphRetrieve(R1, Query: Brown State Fishing Lake >> country); R3 = QA([R2], Question: In which country is Brown State Fishing Lake located?)

R4 = KnowledgeQuery(United States); R5 = ParagraphRetrieve(R4, Query: What is the population of United States?); R6 = QA([R5], Question: What is the population of United States?)

Answer: 9,984

R3 = QA([R2], Question: In which country is Brown State Fishing Lake located?) = Question: In which country is Brown State Fishing Lake located?; Answer: United States

R6 = QA([R5], Question: What is the population of United States?) = Question: What is the population of United States?; Answer: exceeding 334 million.

R7 = QA([R3, R6], Question: What is the population of the country where Brown State Fishing Lake is located?) = Question: What is the population of the country where Brown State Fishing Lake is located?; Answer: exceeding 334 million.


Question: The Vermont Catamounts men's soccer team currently competes in a conference that was formerly known as what from 1988 to 1996?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: The Vermont Catamounts men's soccer team currently competes in a conference that was formerly known as what from 1988 to 1996?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Which conference do the Vermont Catamounts men's soccer team compete in?; Answer: America East Conference. Should we stop planning?

The executed result for Subgoal 2 is Question: What was the America East Conference known as from 1988 to 1996?; Answer: North Atlantic Conference. Should we stop planning?

The executed result for Subgoal 3 is Question: Does the Vermont Catamounts men's soccer team currently compete in the North Atlantic Conference?; Answer: No. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine what the America East Conference was known as from 1988 to 1996.

No, I will keep planning. Subgoal 3: Confirm that the Vermont Catamounts men's soccer team currently competes in the North Atlantic Conference.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: The Vermont Catamounts men's soccer team currently competes in a conference that was formerly known as what from 1988 to 1996?
Subgoal to be grounded: Subgoal 1: Identify the conference that the Vermont Catamounts men's soccer team competes in.

Subgoal to be grounded: Subgoal 2: Determine what the America East Conference was known as from 1988 to 1996. The grounding could be based on the following results: The execution result for Subgoal 1 is America East Conference

Subgoal to be grounded: Subgoal 3: Confirm that the Vermont Catamounts men's soccer team currently competes in the North Atlantic Conference. The grounding could be based on the following results: The execution result for Subgoal 1 is America East Conference The execution result for Subgoal 2 is North Atlantic Conference

R1 = KnowledgeQuery(Vermont Catamounts men's soccer team); R2 = ParagraphRetrieve(R1, Query: Which conference do the Vermont Catamounts men's soccer team compete in?); R3 = QA([R2], Question: Which conference do the Vermont Catamounts men's soccer team compete in?)

R4 = KnowledgeQuery(America East Conference); R5 = ParagraphRetrieve(R4, Query: What was the America East Conference known as from 1988 to 1996?); R6 = QA([R5], Question: What was the America East Conference known as from 1988 to 1996?)

Answer: the North Atlantic Conference

R3 = QA([R2], Question: Which conference do the Vermont Catamounts men's soccer team compete in?) = Question: Which conference do the Vermont Catamounts men's soccer team compete in?; Answer: America East Conference

R6 = QA([R5], Question: What was the America East Conference known as from 1988 to 1996?) = Question: What was the America East Conference known as from 1988 to 1996?; Answer: North Atlantic Conference

R7 = QA([R3, R6], Question: Does the Vermont Catamounts men's soccer team currently compete in the North Atlantic Conference?) = Question: Does the Vermont Catamounts men's soccer team currently compete in the North Atlantic Conference?; Answer: No


Question: Are Giuseppe Verdi and Ambroise Thomas both Opera composers ?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Are Giuseppe Verdi and Ambroise Thomas both Opera composers ?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What kind of music did Giuseppe Verdi compose?; Answer: Operas. Should we stop planning?

The executed result for Subgoal 2 is Question: What kind of music did Ambroise Thomas compose?; Answer: Operas. Should we stop planning?

The executed result for Subgoal 3 is Question: Did both Giuseppe Verdi and Ambroise Thomas compose operas?; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Answer what kind of music Ambroise Thomas composed.

No, I will keep planning. Subgoal 3: Determine if both Giuseppe Verdi and Ambroise Thomas composed operas.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Are Giuseppe Verdi and Ambroise Thomas both Opera composers ?
Subgoal to be grounded: Subgoal 1: Answer what kind of music Giuseppe Verdi composed.

Subgoal to be grounded: Subgoal 2: Answer what kind of music Ambroise Thomas composed. The grounding could be based on the following results: The execution result for Subgoal 1 is Operas

Subgoal to be grounded: Subgoal 3: Determine if both Giuseppe Verdi and Ambroise Thomas composed operas. The grounding could be based on the following results: The execution result for Subgoal 1 is Operas The execution result for Subgoal 2 is Operas

R1 = KnowledgeQuery(Giuseppe Verdi); R2 = ParagraphRetrieve(R1, Query: What kind of music did Giuseppe Verdi compose?); R3 = QA([R2], Question: What kind of music did Giuseppe Verdi compose?)

R4 = KnowledgeQuery(Ambroise Thomas); R5 = ParagraphRetrieve(R4, Query: What kind of music did Ambroise Thomas compose?); R6 = QA([R5], Question: What kind of music did Ambroise Thomas compose?)

Answer: yes

R3 = QA([R2], Question: What kind of music did Giuseppe Verdi compose?) = Question: What kind of music did Giuseppe Verdi compose?; Answer: Operas

R6 = QA([R5], Question: What kind of music did Ambroise Thomas compose?) = Question: What kind of music did Ambroise Thomas compose?; Answer: Operas

R7 = QA([R3, R6], Question: Did both Giuseppe Verdi and Ambroise Thomas compose operas?) = Question: Did both Giuseppe Verdi and Ambroise Thomas compose operas?; Answer: Yes


Question: Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president that served during what years?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president that served during what years?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: During which president's administration did Roger O. Egeberg serve as Assistant Secretary for Health and Scientific Affairs?; Answer: Nixon administration. Should we stop planning?

The executed result for Subgoal 2 is Question: What years was the Nixon administration?; Answer: January 20, 1969 – August 9, 1974. Should we stop planning?

The executed result for Subgoal 3 is Question: Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president that served during what years?; Answer: January 20, 1969 – August 9, 1974. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the years of the Nixon administration.

No, I will keep planning. Subgoal 3: Determine the years during which Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president that served during what years?
Subgoal to be grounded: Subgoal 1: Identify the president during which Roger O. Egeberg served as Assistant Secretary for Health and Scientific Affairs.

Subgoal to be grounded: Subgoal 2: Determine the years of the Nixon administration. The grounding could be based on the following results: The execution result for Subgoal 1 is Nixon administration

Subgoal to be grounded: Subgoal 3: Determine the years during which Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president. The grounding could be based on the following results: The execution result for Subgoal 1 is Nixon administration The execution result for Subgoal 2 is January 20, 1969 – August 9, 1974

R1 = KnowledgeQuery(Roger O. Egeberg); R2 = ParagraphRetrieve(R1, Query: Roger O. Egeberg >> employer); R3 = QA([R2], Question: During which president's administration did Roger O. Egeberg serve as Assistant Secretary for Health and Scientific Affairs?)

R4 = KnowledgeQuery(Nixon administration); R5 = ParagraphRetrieve(R4, Query: Nixon administration >> years); R6 = QA([R5], Question: What years was the Nixon administration?)

Answer: 1969 until 1974

R3 = QA([R2], Question: During which president's administration did Roger O. Egeberg serve as Assistant Secretary for Health and Scientific Affairs?) = Question: During which president's administration did Roger O. Egeberg serve as Assistant Secretary for Health and Scientific Affairs?; Answer: Nixon administration

R6 = QA([R5], Question: What years was the Nixon administration?) = Question: What years was the Nixon administration?; Answer: January 20, 1969 – August 9, 1974

R7 = QA([R3, R6], Question: Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president that served during what years?) = Question: Roger O. Egeberg was Assistant Secretary for Health and Scientific Affairs during the administration of a president that served during what years?; Answer: January 20, 1969 – August 9, 1974


Question: Which writer was from England, Henry Roth or Robert Erskine Childers?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Which writer was from England, Henry Roth or Robert Erskine Childers?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Where was Henry Roth born?; Answer: Tysmenitz, Galicia, Austria-Hungary. Should we stop planning?

The executed result for Subgoal 2 is Question: Where was Robert Erskine Childers born?; Answer: Mayfair, London, England. Should we stop planning?

The executed result for Subgoal 3 is Question: Was either Henry Roth or Robert Erskine Childers from England?; Answer: Robert Erskine Childers. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the place of birth of Robert Erskine Childers.

No, I will keep planning. Subgoal 3: Determine if either Henry Roth or Robert Erskine Childers was from England.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Which writer was from England, Henry Roth or Robert Erskine Childers?
Subgoal to be grounded: Subgoal 1: Obtain the place of birth of Henry Roth.

Subgoal to be grounded: Subgoal 2: Obtain the place of birth of Robert Erskine Childers. The grounding could be based on the following results: The execution result for Subgoal 1 is Tysmenitz, Galicia, Austria-Hungary

Subgoal to be grounded: Subgoal 3: Determine if either Henry Roth or Robert Erskine Childers was from England. The grounding could be based on the following results: The execution result for Subgoal 1 is Tysmenitz, Galicia, Austria-Hungary The execution result for Subgoal 2 is Mayfair, London, England

R1 = KnowledgeQuery(Henry Roth); R2 = ParagraphRetrieve(R1, Query: Henry Roth place of birth); R3 = QA([R2], Question: Where was Henry Roth born?)

R4 = KnowledgeQuery(Robert Erskine Childers); R5 = ParagraphRetrieve(R4, Query: Where was Robert Erskine Childers born?); R6 = QA([R5], Question: Where was Robert Erskine Childers born?)

Answer: Robert Erskine Childers DSC

R3 = QA([R2], Question: Where was Henry Roth born?) = Question: Where was Henry Roth born?; Answer: Tysmenitz, Galicia, Austria-Hungary

R6 = QA([R5], Question: Where was Robert Erskine Childers born?) = Question: Where was Robert Erskine Childers born?; Answer: Mayfair, London, England

R7 = QA([R3, R6], Question: Was either Henry Roth or Robert Erskine Childers from England?) = Question: Was either Henry Roth or Robert Erskine Childers from England?; Answer: Robert Erskine Childers


Question: Were Scott Derrickson and Ed Wood of the same nationality?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Were Scott Derrickson and Ed Wood of the same nationality?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What is the nationality of Scott Derrickson?; Answer: American. Should we stop planning?

The executed result for Subgoal 2 is Question: What is the nationality of Ed Wood?; Answer: American. Should we stop planning?

The executed result for Subgoal 3 is Question: Determine if the nationalities of Scott Derrickson and Ed Wood are the same.; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the nationality of Ed Wood.

No, I will keep planning. Subgoal 3: Determine if the nationalities of Scott Derrickson and Ed Wood are the same.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Were Scott Derrickson and Ed Wood of the same nationality?
Subgoal to be grounded: Subgoal 1: Obtain the nationality of Scott Derrickson.

Subgoal to be grounded: Subgoal 2: Obtain the nationality of Ed Wood. The grounding could be based on the following results: The execution result for Subgoal 1 is American

Subgoal to be grounded: Subgoal 3: Determine if the nationalities of Scott Derrickson and Ed Wood are the same. The grounding could be based on the following results: The execution result for Subgoal 1 is American The execution result for Subgoal 2 is American

R1 = KnowledgeQuery(Scott Derrickson); R2 = ParagraphRetrieve(R1, Query: What is the nationality of Scott Derrickson?); R3 = QA([R2], Question: What is the nationality of Scott Derrickson?)

R4 = KnowledgeQuery(Ed Wood); R5 = ParagraphRetrieve(R4, Query: What is the nationality of Ed Wood?); R6 = QA([R5], Question: What is the nationality of Ed Wood?)

Answer: yes

R3 = QA([R2], Question: What is the nationality of Scott Derrickson?) = Question: What is the nationality of Scott Derrickson?; Answer: American

R6 = QA([R5], Question: What is the nationality of Ed Wood?) = Question: What is the nationality of Ed Wood?; Answer: American

R7 = Calculator(R3 == R6) = Question: Determine if the nationalities of Scott Derrickson and Ed Wood are the same.; Answer: Yes


Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who played Corliss Archer in Kiss and Tell?; Answer: Shirley Temple, Joan Caulfield. Should we stop planning?

The executed result for Subgoal 2 is Question: What government position did Shirley Temple hold?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States. Should we stop planning?

The executed result for Subgoal 3 is Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the government position held by the actress identified in Subgoal 1.

No, I will keep planning. Subgoal 3: Determine the government position held by the woman who portrayed Corliss Archer in the film Kiss and Tell.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?
Subgoal to be grounded: Subgoal 1: Identify the actress who portrayed Corliss Archer in the film Kiss and Tell.

Subgoal to be grounded: Subgoal 2: Determine the government position held by the actress identified in Subgoal 1. The grounding could be based on the following results: The execution result for Subgoal 1 is Shirley Temple, Joan Caulfield

Subgoal to be grounded: Subgoal 3: Determine the government position held by the woman who portrayed Corliss Archer in the film Kiss and Tell. The grounding could be based on the following results: The execution result for Subgoal 1 is Shirley Temple, Joan Caulfield The execution result for Subgoal 2 is 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States

R1 = KnowledgeQuery(Corliss Archer in Kiss and Tell); R2 = ParagraphRetrieve(R1, Query: Who played Corliss Archer in Kiss and Tell?); R3 = QA([R2], Question: Who played Corliss Archer in Kiss and Tell?)

R4 = KnowledgeQuery(Shirley Temple); R5 = ParagraphRetrieve(R4, Query: What government position did Shirley Temple hold?); R6 = QA([R5], Question: What government position did Shirley Temple hold?)

Answer: Chief of Protocol

R3 = QA([R2], Question: Who played Corliss Archer in Kiss and Tell?) = Question: Who played Corliss Archer in Kiss and Tell?; Answer: Shirley Temple, Joan Caulfield

R6 = QA([R5], Question: What government position did Shirley Temple hold?) = Question: What government position did Shirley Temple hold?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States

R7 = QA([R3, R6], Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?) = Question: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?; Answer: 27th United States Ambassador to Czechoslovakia, 18th Chief of Protocol of the United States


Question: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What is the name of the science fantasy young adult series narrated in first person?; Answer: Percy Jackson & The Olympians. Should we stop planning?

The executed result for Subgoal 2 is No answer.. Should we stop planning?

The executed result for Subgoal 3 is Question: Does the identified series have the identified companion books?; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the companion books that narrate the stories of enslaved worlds and alien species.

No, I will keep planning. Subgoal 3: Determine if the identified series has the identified companion books.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?
Subgoal to be grounded: Subgoal 1: Identify the science fantasy young adult series narrated in first person.

Subgoal to be grounded: Subgoal 2: Identify the companion books that narrate the stories of enslaved worlds and alien species. The grounding could be based on the following results: The execution result for Subgoal 1 is Percy Jackson & The Olympians

Subgoal to be grounded: Subgoal 3: Determine if the identified series has the identified companion books. The grounding could be based on the following results: The execution result for Subgoal 1 is Percy Jackson & The Olympians

R1 = KnowledgeQuery(science fantasy young adult series narrated in first person); R2 = ParagraphRetrieve(R1, Query: What is the name of the science fantasy young adult series narrated in first person?); R3 = QA([R2], Question: What is the name of the science fantasy young adult series narrated in first person?)

R4 = KnowledgeQuery(companion books narrating the stories of enslaved worlds and alien species); R5 = ParagraphRetrieve(R4, Query: What are the companion books that narrate the stories of enslaved worlds and alien species?); R6 = QA([R5], Question: What are the companion books that narrate the stories of enslaved worlds and alien species?)

Answer: Animorphs

R3 = QA([R2], Question: What is the name of the science fantasy young adult series narrated in first person?) = Question: What is the name of the science fantasy young adult series narrated in first person?; Answer: Percy Jackson & The Olympians

R6 = QA([R5], Question: What are the companion books that narrate the stories of enslaved worlds and alien species?) = No answer.

R7 = QA([R3, R6], Question: Does the identified series have the identified companion books?) = Question: Does the identified series have the identified companion books?; Answer: Yes


Question: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Where is Laleli Mosque located?; Answer: Istanbul, Turkey. Should we stop planning?

The executed result for Subgoal 2 is Question: Where is Esma Sultan Mansion located?; Answer: Ortaköy, Istanbul, Turkey. Should we stop planning?

The executed result for Subgoal 3 is Question: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?; Answer: No. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the location of Esma Sultan Mansion.

No, I will keep planning. Subgoal 3: Determine if the Laleli Mosque and Esma Sultan Mansion are located in the same neighborhood.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?
Subgoal to be grounded: Subgoal 1: Obtain the location of Laleli Mosque.

Subgoal to be grounded: Subgoal 2: Obtain the location of Esma Sultan Mansion. The grounding could be based on the following results: The execution result for Subgoal 1 is Istanbul, Turkey

Subgoal to be grounded: Subgoal 3: Determine if the Laleli Mosque and Esma Sultan Mansion are located in the same neighborhood. The grounding could be based on the following results: The execution result for Subgoal 1 is Istanbul, Turkey The execution result for Subgoal 2 is Ortaköy, Istanbul, Turkey

R1 = KnowledgeQuery(Laleli Mosque); R2 = ParagraphRetrieve(R1, Query: Laleli Mosque location); R3 = QA([R2], Question: Where is Laleli Mosque located?)

R4 = KnowledgeQuery(Esma Sultan Mansion); R5 = ParagraphRetrieve(R4, Query: Esma Sultan Mansion location); R6 = QA([R5], Question: Where is Esma Sultan Mansion located?)

Answer: no

R3 = QA([R2], Question: Where is Laleli Mosque located?) = Question: Where is Laleli Mosque located?; Answer: Istanbul, Turkey

R6 = QA([R5], Question: Where is Esma Sultan Mansion located?) = Question: Where is Esma Sultan Mansion located?; Answer: Ortaköy, Istanbul, Turkey

R7 = QA([R3, R6], Question: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?) = Question: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?; Answer: No


Question: The director of the romantic comedy "Big Stone Gap" is based in what New York city?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: The director of the romantic comedy "Big Stone Gap" is based in what New York city?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who is the director of "Big Stone Gap"?; Answer: Adriana Trigiani. Should we stop planning?

The executed result for Subgoal 2 is Question: Where does Adriana Trigiani reside?; Answer: Virginia, U.S.. Should we stop planning?

The executed result for Subgoal 3 is Question: The director of the romantic comedy "Big Stone Gap" is based in what New York city?; Answer: New York City. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the residence of the director.

No, I will keep planning. Subgoal 3: Identify the New York city where the director is based.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: The director of the romantic comedy "Big Stone Gap" is based in what New York city?
Subgoal to be grounded: Subgoal 1: Identify the director of the romantic comedy "Big Stone Gap".

Subgoal to be grounded: Subgoal 2: Determine the residence of the director. The grounding could be based on the following results: The execution result for Subgoal 1 is Adriana Trigiani

Subgoal to be grounded: Subgoal 3: Identify the New York city where the director is based. The grounding could be based on the following results: The execution result for Subgoal 1 is Adriana Trigiani The execution result for Subgoal 2 is Virginia, U.S.

R1 = KnowledgeQuery("Big Stone Gap"); R2 = ParagraphRetrieve(R1, Query: Who is the director of "Big Stone Gap"?); R3 = QA([R2], Question: Who is the director of "Big Stone Gap"?)

R4 = KnowledgeQuery(Adriana Trigiani); R5 = ParagraphRetrieve(R4, Query: Where does Adriana Trigiani reside?); R6 = QA([R5], Question: Where does Adriana Trigiani reside?)

Answer: Greenwich Village, New York City

R3 = QA([R2], Question: Who is the director of "Big Stone Gap"?) = Question: Who is the director of "Big Stone Gap"?; Answer: Adriana Trigiani

R6 = QA([R5], Question: Where does Adriana Trigiani reside?) = Question: Where does Adriana Trigiani reside?; Answer: Virginia, U.S.

R7 = QA([R6], Question: The director of the romantic comedy "Big Stone Gap" is based in what New York city?) = Question: The director of the romantic comedy "Big Stone Gap" is based in what New York city?; Answer: New York City


Question: 2014 S/S is the debut album of a South Korean boy group that was formed by who?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: 2014 S/S is the debut album of a South Korean boy group that was formed by who?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Who is the performer of the album "2014 S/S"?; Answer: Winner. Should we stop planning?

The executed result for Subgoal 2 is Question: What company formed Winner?; Answer: YG Entertainment. Should we stop planning?

The executed result for Subgoal 3 is Question: Did YG Entertainment form the South Korean boy group that released the album "2014 S/S"?; Answer: Yes. Should we stop planning?

No, I will keep planning. Subgoal 2: Identify the company that formed the performer.

No, I will keep planning. Subgoal 3: Determine if YG Entertainment formed the South Korean boy group that released the album "2014 S/S".

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: 2014 S/S is the debut album of a South Korean boy group that was formed by who?
Subgoal to be grounded: Subgoal 1: Identify the performer of the album "2014 S/S".

Subgoal to be grounded: Subgoal 2: Identify the company that formed the performer. The grounding could be based on the following results: The execution result for Subgoal 1 is Winner

Subgoal to be grounded: Subgoal 3: Determine if YG Entertainment formed the South Korean boy group that released the album "2014 S/S". The grounding could be based on the following results: The execution result for Subgoal 1 is Winner The execution result for Subgoal 2 is YG Entertainment

R1 = KnowledgeQuery(2014 S/S); R2 = ParagraphRetrieve(R1, Query: Who is the performer of the album "2014 S/S"?); R3 = QA([R2], Question: Who is the performer of the album "2014 S/S"?)

R4 = KnowledgeQuery(Winner); R5 = ParagraphRetrieve(R4, Query: What company formed Winner?); R6 = QA([R5], Question: What company formed Winner?)

Answer: YG Entertainment

R3 = QA([R2], Question: Who is the performer of the album "2014 S/S"?) = Question: Who is the performer of the album "2014 S/S"?; Answer: Winner

R6 = QA([R5], Question: What company formed Winner?) = Question: What company formed Winner?; Answer: YG Entertainment

R7 = QA([R3, R6], Question: Did YG Entertainment form the South Korean boy group that released the album "2014 S/S"?) = Question: Did YG Entertainment form the South Korean boy group that released the album "2014 S/S"?; Answer: Yes


Question: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: What was Aladin's performers name?; Answer: Aladdin Abdullah Achmed Anthony Pallante. Should we stop planning?

The executed result for Subgoal 2 is Question: What was Aladin's performers real name?; Answer: Aladdin Abdullah Achmed Anthony Pallante. Should we stop planning?

The executed result for Subgoal 3 is Question: Who helped organizations improve their performance as a consultant?; Answer: Management consultants. Should we stop planning?

The executed result for Subgoal 4 is No answer.. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the performer's real name.

No, I will keep planning. Subgoal 3: Identify the consultant who helped organizations improve their performance.

No, I will keep planning. Subgoal 4: Determine if the performer known by his stage name Aladin was also a consultant.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?
Subgoal to be grounded: Subgoal 1: Identify the performer known by his stage name Aladin.

Subgoal to be grounded: Subgoal 2: Determine the performer's real name. The grounding could be based on the following results: The execution result for Subgoal 1 is Aladdin Abdullah Achmed Anthony Pallante

Subgoal to be grounded: Subgoal 3: Identify the consultant who helped organizations improve their performance. The grounding could be based on the following results: The execution result for Subgoal 1 is Aladdin Abdullah Achmed Anthony Pallante The execution result for Subgoal 2 is Aladdin Abdullah Achmed Anthony Pallante

Subgoal to be grounded: Subgoal 4: Determine if the performer known by his stage name Aladin was also a consultant. The grounding could be based on the following results: The execution result for Subgoal 1 is Aladdin Abdullah Achmed Anthony Pallante The execution result for Subgoal 2 is Aladdin Abdullah Achmed Anthony Pallante The execution result for Subgoal 3 is Management consultants

R1 = KnowledgeQuery(Aladin); R2 = ParagraphRetrieve(R1, Query: What was Aladin's performers name?); R3 = QA([R2], Question: What was Aladin's performers name?)

R5 = KnowledgeQuery(consultant); R6 = ParagraphRetrieve(R5, Query: Who helped organizations improve their performance as a consultant?); R7 = QA([R6], Question: Who helped organizations improve their performance as a consultant?)

Answer: Eenasul Fateh

R3 = QA([R2], Question: What was Aladin's performers name?) = Question: What was Aladin's performers name?; Answer: Aladdin Abdullah Achmed Anthony Pallante

R4 = QA([R3], Question: What was Aladin's performers real name?) = Question: What was Aladin's performers real name?; Answer: Aladdin Abdullah Achmed Anthony Pallante

R7 = QA([R6], Question: Who helped organizations improve their performance as a consultant?) = Question: Who helped organizations improve their performance as a consultant?; Answer: Management consultants

R8 = QA([R4, R7], Question: Was the performer known by his stage name Aladin also a consultant?) = No answer.


Question: The arena where the Lewiston Maineiacs played their home games can seat how many people?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: The arena where the Lewiston Maineiacs played their home games can seat how many people?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: Where did the Lewiston Maineiacs play their home games?; Answer: Androscoggin Bank Colisée. Should we stop planning?

The executed result for Subgoal 2 is Question: How many people can the Androscoggin Bank Colisée seat?; Answer: 3,677. Should we stop planning?

No, I will keep planning. Subgoal 2: Determine the seating capacity of the arena.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: The arena where the Lewiston Maineiacs played their home games can seat how many people?
Subgoal to be grounded: Subgoal 1: Identify the arena where the Lewiston Maineiacs played their home games.

Subgoal to be grounded: Subgoal 2: Determine the seating capacity of the arena. The grounding could be based on the following results: The execution result for Subgoal 1 is Androscoggin Bank Colisée

R1 = KnowledgeQuery(Lewiston Maineiacs); R2 = ParagraphRetrieve(R1, Query: Where did the Lewiston Maineiacs play their home games?); R3 = QA([R2], Question: Where did the Lewiston Maineiacs play their home games?)

R4 = KnowledgeQuery(Androscoggin Bank Colisée); R5 = ParagraphRetrieve(R4, Query: How many people can the Androscoggin Bank Colisée seat?); R6 = QA([R5], Question: How many people can the Androscoggin Bank Colisée seat?)

Answer: 3,677 seated

R3 = QA([R2], Question: Where did the Lewiston Maineiacs play their home games?) = Question: Where did the Lewiston Maineiacs play their home games?; Answer: Androscoggin Bank Colisée

R6 = QA([R5], Question: How many people can the Androscoggin Bank Colisée seat?) = Question: How many people can the Androscoggin Bank Colisée seat?; Answer: 3,677


Question: Who is older, Annie Morton or Terry Richardson?

Please provide a reasonable subgoal-based plan to solve the given task.
Task: Who is older, Annie Morton or Terry Richardson?; Initial Environment Description: None.

The executed result for Subgoal 1 is Question: How old is Annie Morton?; Answer: Born October 8, 1970. Should we stop planning?

The executed result for Subgoal 2 is Question: How old is Terry Richardson?; Answer: 58. Should we stop planning?

The executed result for Subgoal 3 is Question: Determine who is older, Annie Morton or Terry Richardson.; Answer: Terry Richardson. Should we stop planning?

No, I will keep planning. Subgoal 2: Obtain the age of Terry Richardson.

No, I will keep planning. Subgoal 3: Determine who is older, Annie Morton or Terry Richardson.

Please ground the given subgoal to corresponding executable actions for solving the given task. The grounded actions must be the one in available action list.

The available action list is 'KnowledgeQuery', 'ParagraphRetrieve', 'QA', 'Calculator', and 'Code'.
Calculator(formula): Calculate the input formula; KnowledgeQuery(query): Capture the relevant webpages according to the query; ParagraphRetrieve(context, query): Given a query, retrieve the most relevant paragraphs from the given context; QA(context, query): Given context, answer the given query; Calculator(formula): Calculate the input formula; Code(pseudo_code): Generate a Python function that corresponds to the pseudo code.

Task: Who is older, Annie Morton or Terry Richardson?
Subgoal to be grounded: Subgoal 1: Obtain the age of Annie Morton.

Subgoal to be grounded: Subgoal 2: Obtain the age of Terry Richardson. The grounding could be based on the following results: The execution result for Subgoal 1 is Born October 8, 1970

Subgoal to be grounded: Subgoal 3: Determine who is older, Annie Morton or Terry Richardson. The grounding could be based on the following results: The execution result for Subgoal 1 is Born October 8, 1970 The execution result for Subgoal 2 is 58

R1 = KnowledgeQuery(Annie Morton); R2 = ParagraphRetrieve(R1, Query: How old is Annie Morton?); R3 = QA([R2], Question: How old is Annie Morton?)

R4 = KnowledgeQuery(Terry Richardson); R5 = ParagraphRetrieve(R4, Query: How old is Terry Richardson?); R6 = QA([R5], Question: How old is Terry Richardson?)

Answer: Terry Richardson

R3 = QA([R2], Question: How old is Annie Morton?) = Question: How old is Annie Morton?; Answer: Born October 8, 1970

R6 = QA([R5], Question: How old is Terry Richardson?) = Question: How old is Terry Richardson?; Answer: 58

R7 = Calculator(R3 > R6) = Question: Determine who is older, Annie Morton or Terry Richardson.; Answer: Terry Richardson