PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?text ?textLabel WHERE {
  ?religion fb:religion.religion.deities fb:m.01tbmq .
  ?religion fb:religion.religion.texts ?text .
  OPTIONAL {
    ?text rdfs:label ?textLabel FILTER ( lang( ?textLabel ) = 'en' )
  }
}

Got 4 rows and 2 columns:
| text                      | textLabel         |
| ------------------------- | ----------------- |
| Zhuang Zhou (fb:m.0164zy) | Zhuang Zhou (en)  |
| Tao Te Ching (fb:m.02czn) | Tao Te Ching (en) |
| I Ching (fb:m.03ydb)      | I Ching (en)      |
| Daozang (fb:m.05blr4)     | Daozang (en)      |

The Jade Emperor deity is found in the sacred texts associated with Taoism. These texts are Tao Te Ching, I Ching, Zhuang Zhou, and Daozang.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] The "Jade Emperor" deity is found in what sacred text(s)?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
The religion from "Jade Emperor" believes in which gods?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.deities fb:m.01tbmq .
  ?c fb:religion.religion.deities ?x .
}

Using entities:
Jade Emperor (fb:m.01tbmq): The Jade Emperor in Chinese culture, traditional religions and m...religious traditions the same name is rendered as Okhwangsangje., has type Deity

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity

Example 2:
Question:
Which gods are worshipped in the religious text Tao Te Ching?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.texts fb:m.02czn .
  ?c fb:religion.religion.deities ?x .
}

Using entities:
Tao Te Ching, also known as Tao Teh King, Dao De Jing (fb:m.02czn): The Tao Te Ching, Daodejing, or Dao De Jing, also simply referre...sia, and is among the most translated works in world literature., has type Religious Text

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity
Texts (fb:religion.religion.texts): links to type Religious Text, part of Religion schema

Example 3:
Question:
What gods does the religion with the text Zhuang Zhou believe in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.texts fb:m.0164zy .
  ?c fb:religion.religion.deities ?x .
}

Using entities:
Zhuang Zhou, also known as Chouang-Dsi, Zhuangzi., Zhuangzi, Zhuang Zhou, Master Chuang (fb:m.0164zy): Zhuang Zhou, often known as Zhuangzi was an influential Chinese ...ng that life is limited and knowledge to be gained is unlimited., has type Founding Figure

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity
Texts (fb:religion.religion.texts): links to type Religious Text, part of Religion schema

[Assistant]
The examples show queries linking deities to religious texts via the religion entity. The Jade Emperor is a deity, so we need to find the religion(s) that include the Jade Emperor as a deity, and then find the sacred text(s) associated with those religions.

Step 1: Search for the entity "Jade Emperor" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Jade Emperor (fb:m.01tbmq): The Jade Emperor in Chinese culture, traditional religions and m...religious traditions the same name is rendered as Okhwangsangje., has type Deity
2. Jade Emperor (fb:m.0nht48j): has type Musical Artist
3. Jade Emperor (fb:m.0h2_mmz): Jade Emperor is a fictional character from the 1965 animation film Havoc in Heaven., Jade Emperor is a fictional character from the 2008 film The Forbidden Kingdom., Jade Emperor is a fictional character from the 2013 film The Monkey King., has type Film character
4. Jade Emperor (fb:m.02cgbxk)
5. Jade Emperor (fb:m.0w2cmh5): Jade Emperor is a fictional character from the 2005 Chinese television series The Little Fairy., has type TV Character
6. Jade Emperor (fb:m.0c4q7kr)
7. Jade Emperor Pagoda (fb:m.0dgn7sx): The Jade Emperor Pagoda is a Taoist pagoda located at 73 Mai Thi...y the new Chinese name Phước Hải Tự, and as the Tortoise Pagoda., has type Location
8. Jade emperor pagoda-1 (fb:m.0h0bybm)
9. Chinese jade: stone for the emperors (fb:m.08xqbqw): has type Book Edition
10. In the court of the Jade Emperor (fb:m.067gttm): has type Book

[Assistant] The entity "Jade Emperor" as a deity is fb:m.01tbmq. Next, I will search for religions that have this deity.

[Tool]
Got 1 row and 3 columns:
| subject             | property                                        | object                     |
| ------------------- | ----------------------------------------------- | -------------------------- |
| Taoism (fb:m.07gvx) | Deity Or Deities (fb:religion.religion.deities) | Jade Emperor (fb:m.01tbmq) |

[Assistant] The Jade Emperor is a deity in the religion Taoism (fb:m.07gvx). Now I will find the sacred texts associated with Taoism.

[Tool]
Got 4 rows and 3 columns:
| subject             | property                           | object                    |
| ------------------- | ---------------------------------- | ------------------------- |
| Taoism (fb:m.07gvx) | Texts (fb:religion.religion.texts) | Tao Te Ching (fb:m.02czn) |
| Taoism (fb:m.07gvx) | Texts (fb:religion.religion.texts) | I Ching (fb:m.03ydb)      |
| Taoism (fb:m.07gvx) | Texts (fb:religion.religion.texts) | Zhuang Zhou (fb:m.0164zy) |
| Taoism (fb:m.07gvx) | Texts (fb:religion.religion.texts) | Daozang (fb:m.05blr4)     |

[Assistant]
The Jade Emperor deity is found in the sacred texts associated with Taoism. These texts are:
- Tao Te Ching
- I Ching
- Zhuang Zhou
- Daozang

I will now formulate the final SPARQL query to retrieve these sacred texts for the Jade Emperor deity.

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?person ?personName WHERE {
  ?person fb:organization.organization.founders fb:m.0bwfn .
  ?person fb:government.politician.government_positions_held ?position .
  ?position fb:government.government_position_held.to ?endDate .
  FILTER ( ?endDate > "1801-03-03" ^^ xsd:date ) .
  OPTIONAL {
    ?person fb:type.object.name ?personName .
  }
}

The person who retired from their government position after 03/03/1801 and founded New York University is Albert Gallatin.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who retired from their government position after 03/03/1801 and founded New York University?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Who started governmental position after 1-1-1801 and was influenced by Baron de Montesquie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f9wd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f9wd fb:influence.influence_node.influenced ?x .
  ?x fb:government.political_appointer.appointees ?c .
  ?c fb:government.government_position_held.from ?num .
  FILTER ( ?num > "1801-01-01" ^^ xsd:dateTime ) .
}

Using entities:
Montesquieu, also known as Charles-Louis de Secondat, baron de La Brède et de Montesquieu, Charles-Louis de Secondat, Montesquieu (fb:m.0f9wd): Charles-Louis de Secondat, Baron de La Brède et de Montesquieu, ...secure the place of the word despotism in the political lexicon., has type Author

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node

Example 2:
Question:
What political figure was influenced by Baron de Montesquie and ended their postion before 05-13/1801?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f9wd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f9wd fb:influence.influence_node.influenced ?x .
  ?x fb:government.political_appointer.appointees ?c .
  ?c fb:government.government_position_held.to ?num .
  FILTER ( ?num < "1801-05-13" ^^ xsd:dateTime ) .
}

Using entities:
Montesquieu, also known as Charles-Louis de Secondat, baron de La Brède et de Montesquieu, Charles-Louis de Secondat, Montesquieu (fb:m.0f9wd): Charles-Louis de Secondat, Baron de La Brède et de Montesquieu, ...secure the place of the word despotism in the political lexicon., has type Author

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Appointees (fb:government.political_appointer.appointees): links to type Government Position Held, part of Political Appointer schema
Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node

Example 3:
Question:
What political party did the speaker of the 1801 presidential inauguration belong to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:event.public_speaker.speeches_or_presentations ?k .
  ?k fb:event.speech_or_presentation.event fb:m.05brcyq .
  ?c fb:government.politician.party ?y .
  ?y fb:government.political_party_tenure.party ?x .
}

Using entities:
Thomas Jefferson 1801 presidential inauguration (fb:m.05brcyq): has type Public speaking event

Using properties:
Speeches or presentations (fb:event.public_speaker.speeches_or_presentations): links to type Speech or presentation, part of Public speaker schema
Event (fb:event.speech_or_presentation.event): part of Speech or presentation schema, links to type Public speaking event
Party (fb:government.political_party_tenure.party): part of Political Party Tenure schema, links to type Political party
Party (fb:government.politician.party): links to type Political Party Tenure, part of Politician schema

[Assistant]
The examples show how to query for people who held government positions and filter by the end date of their position. We need to find a person who retired from their government position after 03/03/1801 and also founded New York University.

Step 1: Identify the entity for New York University.
Step 2: Identify the property for founding an institution.
Step 3: Identify the property for government position held and the end date of that position.
Step 4: Combine these conditions to find the person.

I will start by searching for the entity "New York University".

[Tool]
Top 10 entity alternatives:
1. New York University, also known as New York University, main campus, New York University, New York City, NYU (fb:m.0bwfn): New York University is a private, nonsectarian American research...eering members among its past and present graduates and faculty., has type College/University
2. New York University (fb:m.05wgs8x): has type Author
3. New York University Press (fb:m.02pnxch): New York University Press is a university press that is part of New York University., has type Publisher
4. University Gardens, also known as University Gardens, New York, Nassau County / University Gardens CDP (fb:m.0y3ct): University Gardens is a hamlet and census-designated place and p... a community in the western part of the Town of North Hempstead., has type US Census Designated Place
5. New York University Shanghai (fb:m.0j9n5bd): New York University Shanghai is jointly established by New York ...ependent registration status from China's Ministry of Education., has type College/University
6. NYU Violets, also known as New York University Violets (fb:m.02r119s): NYU Violets is the nickname of the sports teams and other compet... 23 varsity sports, as well as intramural sports and club teams.
7. University Heights, also known as University Heights, Bronx, University Heights, New York, University Heights, The Bronx (fb:m.07sxvt): University Heights is a neighborhood of the West Bronx in New Yo...perating along Jerome Avenue. ZIP codes include 10453 and 10468., has type Neighborhood
8. Syracuse University, New York (fb:m.06w_wr_): The Limeliters: ""There's A Meetin' Here Tonight,"" ""Wabash Can...me in the Room""   FINALE: ""Down By the Riverside"" (Everyone)., has type TV Episode
9. New York University Skopje (fb:m.0cpdy3h): has type College/University
10. New York University Archives (fb:m.0fp_hjn): The New York University Archives has served, since 1977, as the ...ional papers of New York University faculty; Special Collections

[Assistant] The entity for New York University is fb:m.0bwfn. Now I will search for properties related to founding or founder for this entity.

[Tool]
Top 10 property alternatives:
1. Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
2. Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
3. Member of (fb:organization.organization_member.member_of): links to type Organization membership, part of Organization member schema
4. Name (fb:type.object.name): part of Object schema, links to type Text
5. Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema
6. Board members (fb:organization.organization.board_members): links to type Organization governorship, part of Organization schema
7. Registered with (fb:organization.non_profit_organization.registered_with): links to type Non-profit registration, part of Nonprofit organization schema
8. Endowment (fb:organization.endowed_organization.endowment): part of Endowed Organization schema, links to type Dated Money Value
9. Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property for founders of New York University is fb:organization.organization.founders. Now I will search for properties related to government position held and the end date of that position for a person.

[Tool]
Top 10 property alternatives:
1. Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
2. Government positions (fb:government.governmental_jurisdiction.government_positions): links to type Government Office or Title, part of Governmental Jurisdiction schema
3. Offices Held (fb:royalty.chivalric_order_officer.offices_held): links to type Chivalric Order Officer Tenure, part of Chivalric Order Officer schema
4. Elected Positions Held (fb:base.government2.elected_official.elected_positions_held): links to type Elected Government Positions Held, part of Elected Official schema
5. Office Holders (fb:government.government_office_or_title.office_holders): part of Government Office or Title schema, links to type Government Position Held
6. Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
7. Officeholder (fb:base.government2.elected_government_positions_held.officeholder): part of Elected Government Positions Held schema, links to type Elected Official
8. Legislative Positions Held (fb:base.government2.legislator.legislative_positions_held): links to type Legislative Position Held, part of Legislator schema
9. Government (fb:government.government_agency.government): part of Government Agency schema, links to type Government
10. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government

[Assistant] The property for government positions held by a politician is fb:government.politician.government_positions_held. Now I will search for properties related to the end date of a government position.

[Tool]
Top 10 property alternatives:
1. End date (fb:fictional_universe.event_in_fiction.end_date): links to type Fictional Date/Time, part of Event in fiction schema
2. End Date (fb:user.pvonstackelberg.Futures_Studies.event.end_date): links to type Date/Time, part of Event schema
3. End Date (fb:base.popstra.lived_with.end_date): part of Lived With schema, links to type Date/Time
4. End Date (fb:base.iceandfire.house_lordship.end_date): part of House Lordship schema, links to type Date/Time
5. End Date (fb:base.formula1.formula_1_season.end_date): part of Formula 1 Season schema, links to type Date/Time
6. End date (fb:government.legislative_committee_membership.end_date): part of Legislative committee membership schema, links to type Date/Time
7. End date (fb:opera.opera_production_venue_relationship.end_date): part of Opera production venue relationship schema, links to type Date/Time
8. End Date (fb:cricket.cricket_coach_tenure.end_date): part of Cricket Coach Tenure schema, links to type Date/Time
9. End date (fb:user.micahsaul.advertising.ad_campaign.end_date): part of Ad Campaign schema, links to type Date/Time
10. End date (fb:celebrities.romantic_relationship.end_date): part of Romantic relationship schema, links to type Date/Time

[Assistant] The property for the end date of a government position is fb:government.government_position_held.to. Now I will build a SPARQL query to find a person who retired from their government position after 03/03/1801 and founded New York University (fb:m.0bwfn).

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results. It is possible that the property for founders is not directly linked to the person but through an intermediate entity or the date format or property for the end date might be different.

I will try to find the founders of New York University first to see if there is any person linked to it. Then I will check their government positions and retirement dates.

[Tool]
Got 2 rows and 3 columns:
| subject                          | property                                         | object                             |
| -------------------------------- | ------------------------------------------------ | ---------------------------------- |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Albert Gallatin (fb:m.01p369)      |
| New York University (fb:m.0bwfn) | Founders (fb:organization.organization.founders) | Mordecai Manuel Noah (fb:m.05m665) |

[Assistant] The founders of New York University are Albert Gallatin (fb:m.01p369) and Mordecai Manuel Noah (fb:m.05m665). I will now check the government positions held by Albert Gallatin and the end dates of those positions.

[Tool]
Got 3 rows and 3 columns:
| subject                       | property                                                                       | object       |
| ----------------------------- | ------------------------------------------------------------------------------ | ------------ |
| Albert Gallatin (fb:m.01p369) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.04kq1pk |
| Albert Gallatin (fb:m.01p369) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.09rfklv |
| Albert Gallatin (fb:m.01p369) | Government Positions Held (fb:government.politician.government_positions_held) | fb:m.0m1qpm6 |

[Assistant] Albert Gallatin held three government positions. I will now check the end dates of these government positions.

[Tool]
Got 10 rows and 3 columns:
| subject      | property                                                                                | object                                                            |
| ------------ | --------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.04kq1pk | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.04kq1pk | Officeholder (fb:government.government_position_held.office_holder)                                       | Albert Gallatin (fb:m.01p369)                                     |
| fb:m.04kq1pk | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body) | United States Department of the Treasury (fb:m.0f1r9)             |
| fb:m.04kq1pk | From (fb:government.government_position_held.from)                                                        | 1801-05-14 (xsd:date)                                             |
| fb:m.04kq1pk | Office, position, or title (fb:government.government_position_held.office_position_or_title)              | United States Secretary of the Treasury (fb:m.0bw8r)              |
| fb:m.04kq1pk | Basic title (fb:government.government_position_held.basic_title)                                          | Cabinet Secretary (fb:m.02hvt_)                                   |
| fb:m.04kq1pk | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                    | United States of America (fb:m.09c7w0)                            |
| fb:m.04kq1pk | To (fb:government.government_position_held.to)                                                            | 1814-02-08 (xsd:date)                                             |
| fb:m.04kq1pk | Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by)             | Thomas Jefferson (fb:m.07cbs)                                     |
| fb:m.04kq1pk | rdf:type                                                                                | Government Position Held (fb:government.government_position_held) |

[Assistant]
The end date of one of Albert Gallatin's government positions (United States Secretary of the Treasury) is 1814-02-08, which is after 03/03/1801. This matches the retirement condition.

Since Albert Gallatin is also a founder of New York University, he fits both criteria in the question.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?text ?textLabel WHERE {
  fb:m.07gvx fb:religion.religion.texts ?text .
  OPTIONAL {
    ?text rdfs:label ?textLabel .
    FILTER ( lang( ?textLabel ) = 'en' )
  }
}

The sacred texts of the religion Taoism founded by Zhuang Zhou include Tao Te Ching, I Ching, and Daozang. The most well-known sacred text is Tao Te Ching.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the sacred text of the religion founded by Zhuang Zhou?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What gods does the religion with the text Zhuang Zhou believe in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.texts fb:m.0164zy .
  ?c fb:religion.religion.deities ?x .
}

Using entities:
Zhuang Zhou, also known as Chouang-Dsi, Zhuangzi., Zhuangzi, Zhuang Zhou, Master Chuang (fb:m.0164zy): Zhuang Zhou, often known as Zhuangzi was an influential Chinese ...ng that life is limited and knowledge to be gained is unlimited., has type Founding Figure

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity
Texts (fb:religion.religion.texts): links to type Religious Text, part of Religion schema

Example 2:
Question:
What God does the religion believe in that Zhuang Zhou is a founding figure?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.founding_figures fb:m.0164zy .
  ?c fb:religion.religion.deities ?x .
}

Using entities:
Zhuang Zhou, also known as Chouang-Dsi, Zhuangzi., Zhuangzi, Zhuang Zhou, Master Chuang (fb:m.0164zy): Zhuang Zhou, often known as Zhuangzi was an influential Chinese ...ng that life is limited and knowledge to be gained is unlimited., has type Founding Figure

Using properties:
Deity Or Deities (fb:religion.religion.deities): part of Religion schema, links to type Deity
Founding Figures (fb:religion.religion.founding_figures): links to type Founding Figure, part of Religion schema

Example 3:
Question:
What books within the Zhihua Temple religion are considered to be holy text?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:religion.religion.organizations fb:m.09yl0g .
  ?c fb:religion.religion.texts ?x .
}

Using entities:
Zhihua Temple (fb:m.09yl0g): The Zhihua Temple is a Ming dynasty-era Buddhist temple in Beiji...old ritual music which has been handed down over 27 generations., has type Religious Organization

Using properties:
Organizations (fb:religion.religion.organizations): links to type Religious Organization, part of Religion schema
Texts (fb:religion.religion.texts): links to type Religious Text, part of Religion schema

[Assistant]
From the examples, it is clear that the property fb:religion.religion.founding_figures links a religion to its founding figures, and fb:religion.religion.texts links a religion to its sacred texts. Also, Zhuang Zhou is identified as fb:m.0164zy in Freebase.

Next, I will find the religion that has Zhuang Zhou as a founding figure. Then I will find the sacred text of that religion.

[Tool]
Got 1 row and 1 column:
| religion            |
| ------------------- |
| Taoism (fb:m.07gvx) |

[Assistant] The religion founded by Zhuang Zhou is Taoism (fb:m.07gvx). Now I will find the sacred text of Taoism.

[Tool]
Got 4 rows and 2 columns:
| text                      | textLabel         |
| ------------------------- | ----------------- |
| Zhuang Zhou (fb:m.0164zy) | Zhuang Zhou (en)  |
| Tao Te Ching (fb:m.02czn) | Tao Te Ching (en) |
| I Ching (fb:m.03ydb)      | I Ching (en)      |
| Daozang (fb:m.05blr4)     | Daozang (en)      |

[Assistant]
The sacred texts of the religion Taoism founded by Zhuang Zhou include "Tao Te Ching," "I Ching," and "Daozang." Among these, "Tao Te Ching" is the most well-known sacred text associated with Taoism.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?brother ?brotherLabel WHERE {
  fb:m.0d3k14 fb:people.person.sibling_s ?siblingRel .
  ?siblingRel fb:people.sibling_relationship.sibling ?brother .
  ?brother fb:type.object.type fb:government.politician .
  ?brother fb:government.politician.government_positions_held ?pos .
  ?pos fb:government.government_position_held.to ?endDate .
  FILTER ( ?endDate > "1968-06-06" ^^ xsd:dateTime ) OPTIONAL {
    ?brother rdfs:label ?brotherLabel .
    FILTER ( lang( ?brotherLabel ) = "en" )
  }
}

The politician and brother of JFK who ended his government post after 1968-06-06 is Ted Kennedy.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which politician and brother of JFK ended his government post after 1968-06-06?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Which of the Kennedy children ended his government position after 06-06-1968?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01qlg1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01qlg1 fb:people.person.children ?x .
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.to ?num .
  FILTER ( ?num > "1968-06-06" ^^ xsd:dateTime ) .
}

Using entities:
Joseph P. Kennedy, Sr., also known as Joseph Patrick "Joe" Kennedy, Sr., Joseph P. Kennedy, Joseph Patrick Kennedy, Sr., Joseph Patrick Kennedy, Joseph Kennedy, Sr. (fb:m.01qlg1): Joseph Patrick "Joe" Kennedy, Sr. was an American businessman, i...ith Franklin D. Roosevelt, then Assistant Secretary of the Navy., has type Politician

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Children (fb:people.person.children): part of Person schema, links to type Person

Example 2:
Question:
Of the children of the Kennedy family, which politician ended his/her government position the earliest?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01qlg1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01qlg1 fb:people.person.children ?x .
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.to ?num .
}
ORDER BY ?num
LIMIT 1

Using entities:
Joseph P. Kennedy, Sr., also known as Joseph Patrick "Joe" Kennedy, Sr., Joseph P. Kennedy, Joseph Patrick Kennedy, Sr., Joseph Patrick Kennedy, Joseph Kennedy, Sr. (fb:m.01qlg1): Joseph Patrick "Joe" Kennedy, Sr. was an American businessman, i...ith Franklin D. Roosevelt, then Assistant Secretary of the Navy., has type Politician

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Children (fb:people.person.children): part of Person schema, links to type Person

Example 3:
Question:
Who was John F Kennedy 's father, and who's the politician that ended his/her government position before 2009-08-25?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d3k14 ) {
    fb:m.0d3k14 fb:people.person.parents ?x .
  } UNION {
    fb:m.0d3k14 fb:people.person.children ?x .
  } UNION {
    fb:m.0d3k14 fb:people.person.sibling_s ?y .
    ?y fb:people.sibling_relationship.sibling ?x .
  } UNION {
    fb:m.0d3k14 fb:people.person.spouse_s ?y .
    ?y fb:people.marriage.spouse ?x .
    ?y fb:people.marriage.type_of_union fb:m.04ztj .
    FILTER ( NOT EXISTS {
      ?y fb:people.marriage.to []
    }
    )
  }
  ?x fb:government.politician.government_positions_held ?c .
  ?c fb:government.government_position_held.to ?num .
  FILTER ( ?num < "2009-08-25" ^^ xsd:dateTime ) .
}

Using entities:
Marriage, also known as Matrimony, Wedlock (fb:m.04ztj): Marriage, also called matrimony or wedlock, is a socially or rit...of concerns for women's rights and because of international law., has type Religious Practice
John F. Kennedy, also known as President John F. Kennedy  , John F. (John Fitzgerald) Kennedy, John Kennedy, Johnny, President John F Kennedy (fb:m.0d3k14): John Fitzgerald Kennedy (May 29, 1917 – November 22, 1963), also...ican hopes and aspirations to every new generation of Americans., John Fitzgerald Kennedy, commonly known as Jack Kennedy or by hi...the first person born in the 20th century to serve as president., has type US President

Using properties:
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema
Spouse (fb:people.marriage.spouse): part of Marriage schema, links to type Person
To (fb:people.marriage.to): links to type Date/Time, part of Marriage schema
Type of union (fb:people.marriage.type_of_union): links to type Marriage/union type, part of Marriage schema
Children (fb:people.person.children): part of Person schema, links to type Person
Parents (fb:people.person.parents): part of Person schema, links to type Person
Siblings (fb:people.person.sibling_s): links to type Sibling Relationship, part of Person schema
Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
Sibling (fb:people.sibling_relationship.sibling): part of Sibling Relationship schema, links to type Person

[Assistant]
From the examples, I see that John F. Kennedy is identified as fb:m.0d3k14 in Freebase. The property for siblings is fb:people.person.sibling_s and the sibling relationship is fb:people.sibling_relationship.sibling. The property for government positions held by a politician is fb:government.politician.government_positions_held and the end date of the position is fb:government.government_position_held.to.

I will now write a SPARQL query to find the politician who is a brother of JFK and ended his government post after 1968-06-06. I will use the known entity for JFK and the properties identified.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means no brother of JFK who is a politician ended his government post after 1968-06-06 according to the data in Freebase. I will now try to check if there are any brothers of JFK who are politicians at all, regardless of the end date of their government post. This will help verify if the brother entity and politician property are correctly identified.

[Tool]
Got 3 rows and 2 columns:
| brother                        | brotherLabel           |
| ------------------------------ | ---------------------- |
| Ted Kennedy (fb:m.0194xc)      | Ted Kennedy (en)       |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) |
| John F. Kennedy (fb:m.0d3k14)  | John F. Kennedy (en)   |

[Assistant]
There are three brothers of JFK listed as politicians: Ted Kennedy, Robert F. Kennedy, and JFK himself (which is expected since the query includes JFK as well).

I will now check the government positions held by these brothers and their end dates to find who ended their government post after 1968-06-06.

[Tool]
Got 3 rows and 3 columns:
| brother                        | brotherLabel           | endDate               |
| ------------------------------ | ---------------------- | --------------------- |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) | 1964 (xsd:gYear)      |
| Robert F. Kennedy (fb:m.06hx2) | Robert F. Kennedy (en) | 1968-06-06 (xsd:date) |
| Ted Kennedy (fb:m.0194xc)      | Ted Kennedy (en)       | 2009-08-25 (xsd:date) |

[Assistant]
From the results, Robert F. Kennedy ended a government post on 1968-06-06, and Ted Kennedy ended a government post on 2009-08-25. The question asks for a brother of JFK who ended his government post after 1968-06-06, so the answer is Ted Kennedy.

I will now finalize the answer with the SPARQL query that finds this politician.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?county WHERE {
  fb:m.0fsb8 fb:location.hud_county_place.county ?county .
}

The neighborhood of Stonehaven is located in Mecklenburg County.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What county is the neighborhood of Stonehaven located in?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Which sites are well known in the Stonehaven neighborhood?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.place_with_neighborhoods.neighborhoods fb:m.04b4qw1 .
  ?c fb:travel.travel_destination.tourist_attractions ?x .
}

Using entities:
Stonehaven, also known as Stonehaven, North Carolina (fb:m.04b4qw1): The Stonehaven neighborhood of Charlotte, North Carolina was est...ural style is the ranch-style house with brick or wood exterior., has type Neighborhood

Using properties:
Neighborhoods (fb:location.place_with_neighborhoods.neighborhoods): part of Place with neighborhoods schema, links to type Neighborhood
Tourist attractions (fb:travel.travel_destination.tourist_attractions): part of Travel destination schema, links to type Tourist attraction

Example 2:
Question:
In what county is the location where the film "Paranormal Activity" is set?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_location.featured_in_films fb:m.07s3m4g .
  ?c fb:location.hud_county_place.county ?x .
}

Using entities:
Paranormal Activity (fb:m.07s3m4g): Paranormal Activity is a 2007 American found footage supernatura...rify independently as this is likely to exclude marketing costs., has type Award-Winning Work

Using properties:
Featured In Films (fb:film.film_location.featured_in_films): part of Filming location schema, links to type Film
County (fb:location.hud_county_place.county): part of HUD County Place schema, links to type US County

Example 3:
Question:
In which state is the neighborhood Harbourfront located?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.place_with_neighborhoods.neighborhoods fb:m.02kkt0 .
  ?c fb:base.biblioness.bibs_location.state ?x .
}

Using entities:
Harbourfront, also known as Harbourfront, Canada, Harbourfront, Ontario (fb:m.02kkt0): Harbourfront is a neighbourhood on the northern shore of Lake On...r York Street. Its northern boundary is the Gardiner Expressway., has type Neighborhood

Using properties:
State (fb:base.biblioness.bibs_location.state): part of Bibs Location schema, links to type Location
Neighborhoods (fb:location.place_with_neighborhoods.neighborhoods): part of Place with neighborhoods schema, links to type Neighborhood

[Assistant]
From the examples, I see that neighborhoods are linked to places using the property fb:location.place_with_neighborhoods.neighborhoods. Also, counties are linked to places using the property fb:location.hud_county_place.county.

I will first search for the entity "Stonehaven" to find the exact entity representing the neighborhood. Then I will use the property for neighborhoods to find the place it belongs to and finally find the county of that place.

[Tool]
Top 10 entity alternatives:
1. Stonehaven (fb:m.014kh1): Stonehaven is a town in Aberdeenshire, Scotland. It lies on Scot...aven railway station, and lies just to the east of the A90 road., has type City/Town/Village
2. Stonehaven, also known as Stonehaven, North Carolina (fb:m.04b4qw1): The Stonehaven neighborhood of Charlotte, North Carolina was est...ural style is the ranch-style house with brick or wood exterior., has type Neighborhood
3. Stonehaven, Delaware, also known as Stonehaven, Delaware, Stonehaven (fb:m.048rp8p): Stonehaven is an unincorporated community in New Castle County, Delaware, United States., has type City/Town/Village
4. Stonehaven (fb:m.0h_b50r): "Stonehaven", also known as the John and Sarah Lundgren House, i...t was added to the National Register of Historic Places in 1996., has type House
5. Stonehaven, also known as Stonehaven, South Carolina (fb:m.04bq9_l): has type City/Town/Village
6. Stonehaven, also known as Stonehaven, New Mexico (fb:m.04b9vpd): has type City/Town/Village
7. Stonehaven, also known as Stonehaven, Maryland (fb:m.0498z5j): has type City/Town/Village
8. Stonehaven (fb:m.0f0xlz3): has type Musical Recording
9. Stonehaven (fb:m.0x08nrr): has type Musical Recording
10. Stonehaven (fb:m.0dmv2zf): has type Musical Recording

[Assistant] There is a neighborhood named Stonehaven in Charlotte, North Carolina with the entity fb:m.04b4qw1. I will now query the place that has this neighborhood and then find the county of that place.

[Tool]
Got 1 row and 1 column:
| place                  |
| ---------------------- |
| Charlotte (fb:m.0fsb8) |

[Assistant] The neighborhood Stonehaven (fb:m.04b4qw1) is part of the place Charlotte (fb:m.0fsb8). Now I will find the county of Charlotte.

[Tool]
Got 1 row and 1 column:
| county                            |
| --------------------------------- |
| Mecklenburg County (fb:m.025rst1) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  fb:m.0154j fb:location.location.adjoin_s ?adjoin .
  ?adjoin fb:location.adjoining_relationship.adjoins ?country .
  ?country fb:common.topic.notable_types fb:m.01mp .
  FILTER ( ?country != fb:m.0154j ) .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = 'en' )
  }
}

Got 4 rows and 2 columns:
| country                  | countryLabel     |
| ------------------------ | ---------------- |
| Germany (fb:m.0345h)     | Germany (en)     |
| Luxembourg (fb:m.04g61)  | Luxembourg (en)  |
| Netherlands (fb:m.059j2) | Netherlands (en) |
| France (fb:m.0f8l9c)     | France (en)      |

The countries that share a border with the birth country of Jean Marie Ghuysen, Belgium, are Germany, Luxembourg, Netherlands, and France.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What countries share a border with the birth country of Jean Marie Ghuysen, France?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What country bordering France contains LiÃ¨ge?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0f8l9c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0f8l9c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
  ?x fb:location.country.administrative_divisions fb:m.013d56 .
}

Using entities:
Liège, also known as Provincie Luik, Province De Liège, Province De Liege, Lüttich, Liege (fb:m.013d56): Liège is the easternmost province of Wallonia and Belgium. It bo... The capital of the province is the city of the same name Liège., has type Administrative Division
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
France, also known as French Republic, République française, l'Hexagone (fb:m.0f8l9c): France, officially the French Republic, is a sovereign state com...g and paving the way for a future centralized absolute monarchy., has type Country

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Administrative Divisions (fb:location.country.administrative_divisions): links to type Administrative Division, part of Country schema
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

Example 2:
Question:
What countries border the country with an office holder named Michel Goudchaux?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.office_holder fb:m.0_s65gv .
  ?c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Michel Goudchaux (fb:m.0_s65gv): Michel Goudchaux was a French banker and politician who was twic...Republican, he refused to accept the government of Napoleon III., has type Politician

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

Example 3:
Question:
What countries border the country with Nicolas Sarkozy in the government position?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:government.governmental_jurisdiction.governing_officials ?k .
  ?k fb:government.government_position_held.appointed_by fb:m.02ps9k .
  ?c fb:location.location.adjoin_s ?y .
  ?y fb:location.adjoining_relationship.adjoins ?x .
  ?x fb:common.topic.notable_types fb:m.01mp .
}

Using entities:
Country, also known as Empire (fb:m.01mp): The type country in Freebase can and should be used with a varie...s with little population or autonomy will be typed as a country.
Nicolas Sarkozy, also known as Nicolas Paul Stéphane Sarközy de Nagy-Bocsa, The Bling Bling President, Speedy, Sarko l'Américain, Sarko (fb:m.02ps9k): Nicolas Sarkozy is a French politician who served as the Preside...er Carla Bruni on 2 February 2008 at the Élysée Palace in Paris., has type Politician

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Adjoins (fb:location.adjoining_relationship.adjoins): part of Adjoining Relationship schema, links to type Location
Adjoins (fb:location.location.adjoin_s): links to type Adjoining Relationship, part of Location schema

[Assistant]
From the examples, it is clear that the property fb:location.location.adjoin_s and fb:location.adjoining_relationship.adjoins are used to find countries that share a border. Also, the type for countries is fb:m.01mp.

Next, I will search for the entity Jean Marie Ghuysen to confirm his birth country. Then I will find the countries that share a border with that birth country.

[Tool]
Top 10 entity alternatives:
1. Jean Marie Ghuysen (fb:g.11r_pj4qw): has type Author
2. Jean Marie (fb:m.0f0j0ds): has type Musical Recording
3. Jean Marie (fb:m.0xcnb5_): has type Musical Recording
4. Jean Marie (fb:m.0_69gmr): has type Musical Recording
5. Jean Marie (fb:m.0zwlj9): has type Musical Recording
6. Jean Marie (fb:m.0rjsqbm): has type Musical Recording
7. Jean Marie (fb:m.0fhxckl): has type Musical Recording
8. Jean Marie (fb:m.0_7y45c): has type Musical Recording
9. Jean Marie (fb:m.01c4s09): has type Musical Recording
10. Marie Jean (fb:m.0rzt059): Marie Jean is a hair stylist., has type Film crewmember

[Assistant] I found an entity Jean Marie Ghuysen (fb:g.11r_pj4qw) with type Author. I will now check the birth country of this entity.

[Tool]
Got 1 row and 3 columns:
| subject                             | property                                         | object               |
| ----------------------------------- | ------------------------------------------------ | -------------------- |
| Jean Marie Ghuysen (fb:g.11r_pj4qw) | Place of birth (fb:people.person.place_of_birth) | Belgium (fb:m.0154j) |

[Assistant] The birth country of Jean Marie Ghuysen is Belgium (fb:m.0154j). Now I will find the countries that share a border with Belgium.

[Tool]
Got 4 rows and 2 columns:
| country                  | countryLabel     |
| ------------------------ | ---------------- |
| Germany (fb:m.0345h)     | Germany (en)     |
| Luxembourg (fb:m.04g61)  | Luxembourg (en)  |
| Netherlands (fb:m.059j2) | Netherlands (en) |
| France (fb:m.0f8l9c)     | France (en)      |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?partner WHERE {
  {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?trade .
    ?trade fb:location.imports_and_exports.exported_to ?partner .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?trade .
    ?trade fb:location.imports_and_exports.imported_from ?partner .
  }
  ?partner fb:location.administrative_division.country fb:m.0j1z8 .
}
LIMIT 10

The main trading partner of China that is an administrative division in the country United Arab Emirates is Dubai.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What main trading partner of China is an administrative division in the country United Arab Emirates?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Who are Iran 's major trading partners and is an administrative division of the United Arab Emirates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03shp ) {
    fb:m.03shp fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.03shp fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:location.administrative_division.country fb:m.0j1z8 .
}

Using entities:
Iran, also known as Islamic Republic of Iran, Persia (fb:m.03shp): Iran, also known as Persia, officially the Islamic Republic of I... became the dominant cultural and political power in the region., has type Country
United Arab Emirates, also known as Emirates, UAE (fb:m.0j1z8): The United Arab Emirates /juːˌnaɪtɨd ˌærəb ˈɛmɪrɨts/, sometimes ...le its natural gas reserves are the world's seventeenth-largest., has type Country

Using properties:
Country (fb:location.administrative_division.country): part of Administrative Division schema, links to type Country
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 2:
Question:
What country is one of china's trading partners contains a neighborhood named Al Barsha?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d05w3 ) {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:location.place_with_neighborhoods.neighborhoods fb:m.03qjy7j .
}

Using entities:
Al Barsha (fb:m.03qjy7j): Al Barsha is a collection of sub-communities in Dubai, United Ar... the south by Dubai Sports City and other property developments., has type Neighborhood
China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country

Using properties:
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Neighborhoods (fb:location.place_with_neighborhoods.neighborhoods): part of Place with neighborhoods schema, links to type Neighborhood
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

Example 3:
Question:
What trading partner of Portugal is a jurisdiction governed by the governing body called the Supreme Council of United Arab Emirates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05r4w ) {
    fb:m.05r4w fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.05r4w fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.governmental_body fb:m.059dyww .
}

Using entities:
Supreme Council of United Arab Emirates (fb:m.059dyww): has type Governmental Body
Portugal, also known as Portuguese Republic (fb:m.05r4w): Portugal, officially the Portuguese Republic, is a country on th...ne of the world's major economic, political and military powers., has type Country

Using properties:
Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body): part of Government Position Held schema, links to type Governmental Body
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Exported to (fb:location.imports_and_exports.exported_to): part of Imports and exports schema, links to type Statistical region
Imported from (fb:location.imports_and_exports.imported_from): part of Imports and exports schema, links to type Statistical region
Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
Places imported from (fb:location.statistical_region.places_imported_from): links to type Imports and exports, part of Statistical region schema

[Assistant]
From the examples, it seems the property fb:location.statistical_region.places_exported_to or fb:location.statistical_region.places_imported_from can be used to find trading partners of a country. Also, the property fb:location.administrative_division.country can be used to check if an entity is an administrative division of a specific country.

I will now search for the entity representing China to use it in the query.

[Tool]
Top 10 entity alternatives:
1. China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country
2. China, also known as China, Texas, Jefferson County / China city (fb:m.0104mv): China is a city in Jefferson County, Texas, United States. The p..., especially rice, and by the nearby oil and natural gas fields., has type City/Town/Village
3. China Moses, also known as China (fb:m.0dphjp_): China Moses is an American singer and television host. She lives in Paris., has type Composer
4. China, also known as China, Kagoshima (fb:m.02c1r4): China is a town located on Okinoerabujima, in Ōshima District, K...ion density of 122 persons per km². The total area is 53.29 km²., has type City/Town/Village
5. China (fb:m.01sgkrd): China is a hard rock band from Winterthur, Switzerland founded i...88 and 2013 have entered the Top 40 album charts in Switzerland., has type Musical Group
6. Chung Kuo, Cina, also known as China, Chung Kuo Cina, Chung Kuo, Cina (fb:m.05p3p6q): Chung Kuo, Cina is a 1972 Italian documentary directed by Michel...arily on the lives of contemporary working class Chinese people., has type Film
7. María Eugenia Suárez, also known as China Suárez, María Eugenia Suárez Riveiro, Eugenia Suárez, China (fb:m.047d28m): María Eugenia Suárez Riveiro, also known as Eugenia "China" Suár...up series Casi Ángeles and as a member of its group Teen Angels., has type Film actor
8. China (fb:m.038y5l): China is a 1979 album by the Greek artist Vangelis. Although he ...nese instruments and compositional styles on this concept album., has type Musical Album
9. China (fb:m.047f_s5): João Pedro dos Santos Gonçalves, commonly known as China, is a Portuguese professional footballer who plays as a left back., has type Football player
10. Amir Issaa, also known as Amir, China, Meticcio, Peso Piuma (fb:m.0hnt_m_): Amir Issaa is a rapper., has type Composer

[Assistant] The entity for China as a country is fb:m.0d05w3. Next, I will search for the entity representing the United Arab Emirates to use it in the query.

[Tool]
Top 10 entity alternatives:
1. United Arab Emirates, also known as Emirates, UAE (fb:m.0j1z8): The United Arab Emirates /juːˌnaɪtɨd ˌærəb ˈɛmɪrɨts/, sometimes ...le its natural gas reserves are the world's seventeenth-largest., has type Country
2. United Arab Emirates (fb:m.0y91rq_): has type Musical Recording
3. United Arab Emirates (fb:m.010jr9t_): has type Musical Recording
4. United Arab Emirates (fb:m.0c6m577): has type Book Edition
5. United Arab Emirates (fb:m.0c66mcj): has type Book Edition
6. United Arab Emirates (fb:m.0ydrwhv)
7. United Arab Emirates (fb:m.0_hxtp6)
8. United Arab Emirates (fb:m.0128mct_)
9. United Arab Emirates (fb:m.010j0x9k)
10. United Arab Emirates (fb:m.07p73zd)

[Assistant] The entity for United Arab Emirates as a country is fb:m.0j1z8. Now I will write a SPARQL query to find the main trading partners of China that are administrative divisions in the United Arab Emirates. I will use the properties from the example: fb:location.statistical_region.places_exported_to and fb:location.statistical_region.places_imported_from to find trading partners, and fb:location.administrative_division.country to check if the trading partner is an administrative division in the UAE.

[Tool]
Got 1 row and 1 column:
| partner             |
| ------------------- |
| Dubai (fb:m.01f08r) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?place WHERE {
  ?person fb:people.person.place_of_birth fb:m.09nx79 .
  BIND( fb:m.09nx79 AS ?place )
}
LIMIT 1

A person who was once born in Gingins was born in Gingins itself, as Gingins is the place of birth.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] A person who was once born in Gingins was born where?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
There was a wide receiver born here and Robin Williams lived here in 2011, can you name the city?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dzf_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dzf_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2011-01-01" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2011-12-31" ^^ xsd:dateTime )
  }
  ) ?x fb:location.location.people_born_here ?c .
  ?c fb:american_football.football_player.position_s fb:m.02g_6x .
}

Using entities:
Wide receiver, also known as WR, RE (fb:m.02g_6x): A wide receiver is an offensive position in American and Canadia...ers in the game, and they are frequent highlight-reel favorites., has type Sports position
Robin Williams, also known as Ray D. Tutto, Sudy Nim, Robin Willaims, Robin McLaurin Williams, Robin McLaurim Williams (fb:m.0dzf_): Robin McLaurin Williams was an American actor and comedian. Star...or for his performance as Dr. Sean Maguire in Good Will Hunting., has type Celebrity

Using properties:
Position(s) (fb:american_football.football_player.position_s): part of American football player schema, links to type Sports position
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

Example 2:
Question:
What city is the birthplace of the actor who was known for playing the character Ezekiel 'Spoon' Whitmore?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.actor.film ?k .
  ?k fb:film.performance.character fb:m.0dl7n7f .
  ?c fb:people.person.place_of_birth ?x .
}

Using entities:
Ezekiel 'Spoon' Whitmore (fb:m.0dl7n7f): Ezekiel 'Spoon' Whitmore is a fictional character in the 1997 film Gridlock'd., has type Film character

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Character (fb:film.performance.character): part of Film performance schema, links to type Film character
Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema

Example 3:
Question:
Which place, where a citizen of Georgia was born, does Allen Iverson live in now?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01sg7_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01sg7_ fb:people.person.places_lived ?y .
  ?y fb:people.place_lived.location ?x .
  FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.end_date ?sk0
  }
  || EXISTS {
    ?y fb:people.place_lived.end_date ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:people.place_lived.start_date ?sk2
  }
  || EXISTS {
    ?y fb:people.place_lived.start_date ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) ?x fb:location.location.people_born_here ?c .
  ?c fb:people.person.nationality fb:m.0d0kn .
}

Using entities:
Allen Iverson, also known as Al, The Answer, Ivy, Allen Ezail Iverson, Allen E. Iverson (fb:m.01sg7_): Allen Ezail Iverson is an American retired professional basketba.... He was named the NBA Rookie of the Year in the 1996–97 season., has type Basketball Player
Georgia, also known as Republic of Georgia (fb:m.0d0kn): Georgia is a country in the Caucasus region of Eurasia. Located ...enturies, including the Safavids, Afsharids, and Qajar Iranians., has type Country

Using properties:
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
Places lived (fb:people.person.places_lived): links to type Place lived, part of Person schema
End date (fb:people.place_lived.end_date): part of Place lived schema, links to type Date/Time
Location (fb:people.place_lived.location): part of Place lived schema, links to type Location
Start date (fb:people.place_lived.start_date): part of Place lived schema, links to type Date/Time

[Assistant]
From the examples, it seems the property "fb:people.person.place_of_birth" is used to indicate the place where a person was born. The question asks for the place where a person who was born in Gingins was born, which essentially is asking for the place of birth of a person born in Gingins.

Next, I will search for the entity "Gingins" to get its identifier in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Gingins (fb:m.09nx79): Gingins is a municipality in the district of Nyon in the canton of Vaud in Switzerland., has type Administrative Division
2. Lavandula x ginginsii (fb:m.0b3x737): has type Organism Classification
3. Frédéric Charles Jean Gingins de la Sarraz (fb:m.0_yk3vh): Frédéric Charles Jean Gingins de la Sarraz was a Swiss historian...stin Pyramus de Candolle named the genus Ginginsia in his honor., has type Author

[Assistant] The entity "Gingins" corresponds to fb:m.09nx79, which is a municipality in Switzerland. Now, I will construct a SPARQL query to find persons who were born in Gingins and then retrieve their place of birth. This will help confirm the place of birth for persons born in Gingins.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which means there might be no persons explicitly recorded as born in Gingins in the knowledge graph. To verify, I will check if the property "fb:people.person.place_of_birth" is correctly used for persons born in a location by querying for any persons born in Gingins or any place. I will first check for any persons born in Gingins.

[Tool] Got no rows and 1 columns

[Assistant] There are no persons recorded as born in Gingins in the knowledge graph. To answer the question "A person who was once born in Gingins was born where?" the answer would logically be Gingins itself, as the place of birth is Gingins. I will now finalize the answer with this explanation.

[Tool] Stopped generation process