PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language WHERE {
  ?country fb:location.country.languages_spoken fb:m.02hrcqd .
  ?country fb:location.country.languages_spoken ?language .
}

Got 4 rows and 1 column:
| language                           |
| ---------------------------------- |
| Greenlandic language (fb:m.02_8gp) |
| Danish Language (fb:m.0295r)       |
| Faroese (fb:m.02hrcqd)             |
| German Language (fb:m.04306rv)     |

The languages used by the people from the country where Faroese is spoken are Greenlandic language, Danish Language, Faroese, and German Language.

[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 languages are used by the people from the country where Faroese is spoken?

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

[Tool]
Example 1:
Question:
Which languages are spoken, in the country where Faroese is spoken?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.02hrcqd .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Faroese, also known as Faroese Language, Føroyskt (fb:m.02hrcqd): Faroese /ˌfɛəroʊˈiːz/ is a North Germanic language spoken as a n...te closely, largely owing to Faroese's etymological orthography., has type Human Language

Using properties:
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 2:
Question:
Who is the ruler of the country where Faroese is a language?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.languages_spoken fb:m.02hrcqd .
  ?c fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Faroese, also known as Faroese Language, Føroyskt (fb:m.02hrcqd): Faroese /ˌfɛəroʊˈiːz/ is a North Germanic language spoken as a n...te closely, largely owing to Faroese's etymological orthography., has type Human Language

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

Example 3:
Question:
What language is spoken in the country that has Althing?

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.governmental_body fb:m.0vhnn .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Althing (fb:m.0vhnn): The Alþingi is the national parliament of Iceland. It is the old...are fixed by legislation. Each constituency elects nine members., has type Governmental Body

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
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

[Assistant]
From the similar examples, I see that the entity for Faroese language is fb:m.02hrcqd and the property for languages spoken in a country is fb:location.country.languages_spoken.

The approach is to find the country where Faroese is spoken and then find all languages spoken in that country.

I will now write a SPARQL query to find the languages spoken in the country where Faroese (fb:m.02hrcqd) is spoken.

[Tool]
Got 4 rows and 1 column:
| language                           |
| ---------------------------------- |
| Greenlandic language (fb:m.02_8gp) |
| Danish Language (fb:m.0295r)       |
| Faroese (fb:m.02hrcqd)             |
| German Language (fb:m.04306rv)     |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?team ?year WHERE {
  ?team fb:sports.sports_team.championships fb:m.09gnk2r .
  ?team fb:sports.sports_team.championships ?year .
  OPTIONAL {
    ?year rdfs:label ?yearLabel .
    FILTER ( LANG( ?yearLabel ) = "en" )
  }
  OPTIONAL {
    ?team rdfs:label ?teamLabel .
    FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| team                              | year                              |
| --------------------------------- | --------------------------------- |
| San Francisco Giants (fb:m.0713r) | 2014 World Series (fb:m.0117q3yz) |
| San Francisco Giants (fb:m.0713r) | 2010 World Series (fb:m.09gnk2r)  |
| San Francisco Giants (fb:m.0713r) | 2012 World Series (fb:m.0ds8qct)  |

The team that won the 2010 World Series is the San Francisco Giants. They won the World Series in the years 2010, 2012, and 2014.

[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] Find the team that won in the 2010 world series, list all the years they won the world series.?

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

[Tool]
Example 1:
Question:
What years was the world series won by the team that was in the 2010 World Series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:time.participant.event fb:m.09gnk2r .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
2010 World Series (fb:m.09gnk2r): The 2010 World Series was the 106th edition of Major League Base...rld Series, when they lost to the Anaheim Angels in seven games., has type Sports League Championship Event

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 2:
Question:
During what years did the team that participated in the 2010 Major League Baseball season win the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:time.participant.event fb:m.07s3z6q .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
2010 Major League Baseball season (fb:m.07s3z6q): The 2010 Major League Baseball season began Sunday, April 4, whe...mpion Texas Rangers in the 2010 World Series, four games to one., has type Sports League Season

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

Example 3:
Question:
In what years has the sports team that won the 2004 World Series championship won the World Series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.championships fb:m.044ym6 .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
2004 World Series (fb:m.044ym6): The 2004 World Series was Major League Baseball's championship s...ship Series and advanced to their first World Series since 1986., has type Sports League Championship Event

Using properties:
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema

[Assistant]
From the examples, the 2010 World Series is identified as fb:m.09gnk2r. The property fb:sports.sports_team.championships links a sports team to the championships they have won. We can use this information to find the team that won the 2010 World Series and then list all the years they won the World Series.

I will now write a SPARQL query to:
1. Find the team that won the 2010 World Series.
2. List all the years that team won the World Series.

[Tool]
Got 3 rows and 2 columns:
| team                              | year                              |
| --------------------------------- | --------------------------------- |
| San Francisco Giants (fb:m.0713r) | 2014 World Series (fb:m.0117q3yz) |
| San Francisco Giants (fb:m.0713r) | 2010 World Series (fb:m.09gnk2r)  |
| San Francisco Giants (fb:m.0713r) | 2012 World Series (fb:m.0ds8qct)  |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?org ?orgLabel WHERE {
  ?org fb:organization.organization.leadership ?leadership .
  ?leadership fb:organization.leadership.person fb:m.0h976b6 .
  OPTIONAL {
    ?org rdfs:label ?orgLabel
  }
}

Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| org              | orgLabel                   |
| ---------------- | -------------------------- |
| NPR (fb:m.0c0sl) | National Public Radio (ca) |
| NPR (fb:m.0c0sl) | National Public Radio (de) |
| NPR (fb:m.0c0sl) | National Public Radio (fi) |
| NPR (fb:m.0c0sl) | National Public Radio (fr) |
| NPR (fb:m.0c0sl) | National Public Radio (id) |
| ...              | ...                        |
| NPR (fb:m.0c0sl) | สถานีวิทยุแห่งชาติ (th)    |
| NPR (fb:m.0c0sl) | 내셔널 퍼블릭 라디오 (ko)           |
| NPR (fb:m.0c0sl) | ナショナル・パブリック・ラジオ (ja)       |
| NPR (fb:m.0c0sl) | 全国公共广播电台 (zh)              |
| NPR (fb:m.0c0sl) | 全國公共廣播電台 (zh-Hant)         |

Gary Knell is an organizational leader of NPR (National Public Radio). However, there is no specific radio station in New York City linked to him in the data.

[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] On what radio station in New York City would you find an organizational leader named Gary Knell?

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

[Tool]
Example 1:
Question:
In what state would you find the organization whose leadership includes someone called William R. Kauffman?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.0_f4rt5 .
  ?c fb:location.location.containedby ?x .
  ?x fb:common.topic.notable_types fb:m.0kpys4 .
}

Using entities:
William R. Kauffman (fb:m.0_f4rt5): William R. Kauffman is the president of Saint Louis University., has type Organization leader
US State (fb:m.0kpys4): A US State is one of the fifty sub-national entitites comprising... of America. Each state has its own capital city and government.

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema

Example 2:
Question:
What state is the headquarters of the organization led by Steven Knapp?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.0271myh .
  ?c fb:organization.organization.headquarters ?y .
  ?y fb:location.mailing_address.state_province_region ?x .
}

Using entities:
Steven Knapp (fb:m.0271myh): Steven Knapp is the current president of the George Washington U...ty, earning a master's degree in 1977 and his doctorate in 1981., has type Organization leader

Using properties:
State/Province/Region (fb:location.mailing_address.state_province_region): links to type Administrative Division, part of Address schema
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema

Example 3:
Question:
Gary Destefano is a person in the organization operating in what country?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:organization.organization.leadership ?k .
  ?k fb:organization.leadership.person fb:m.03wrs3k .
  ?c fb:organization.organization.headquarters ?y .
  ?y fb:location.mailing_address.country ?x .
}

Using entities:
Gary Destefano (fb:m.03wrs3k): Gary Destefano is President-Global Ops at Nike, Inc., has type Organization leader

Using properties:
Country (fb:location.mailing_address.country): part of Address schema, links to type Country
Person (fb:organization.leadership.person): part of Organization leadership schema, links to type Organization leader
Headquarters (fb:organization.organization.headquarters): part of Organization schema, links to type Address
Leadership (fb:organization.organization.leadership): links to type Organization leadership, part of Organization schema

[Assistant]
The examples show that to find the organization led by a specific person, we can query for organizations where the leadership person is that individual. Then, to find the location or radio station, we can look at the organization's headquarters or location.

Step 1: Identify the entity for "Gary Knell" in the knowledge graph.
Step 2: Find organizations where Gary Knell is a leader.
Step 3: Filter those organizations to find ones related to radio stations in New York City.

I will start by searching for the entity "Gary Knell" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Gary Knell (fb:m.0h976b6): Gary Evan Knell is the president and CEO of the National Geograp...rior to that he served as CEO of Sesame Workshop from 2000–2011., has type Organization leader
2. Gary E. Knell (fb:m.0clv5wb): has type Organization leader
3. Gary, also known as Lake County / Gary city, Gary, Indiana (fb:m.03b12): Gary is a city in Lake County, Indiana, United States, located i..., and for being the birthplace of the The Jackson 5 music group., has type City/Town/Village
4. Geddy Lee, also known as Lee, Geddy Lee Weinrib, Geddy Lee, OC, Geddy, Gary Lee Weinrib (fb:m.03d8y): Geddy Lee Weinrib, OC, known professionally as Geddy Lee, is a C...l time. Lee was voted the best bassist in rock by WatchMojo.com., has type Bassist
5. Gary, also known as Gaeri, Kang Hŭigŏn, Kang Hee-gun, Kang Gary, Kaeri (fb:m.0hzpplk): Kang Hee-gun, better known by his stage name Gary is a South Kor...is also currently a cast member of the variety show Running Man., has type Composer
6. Gary, also known as Gary, Minnesota, Norman County / Gary city (fb:m.0w913): Gary is a city in Norman County, Minnesota, United States. The population was 214 at the 2010 census., has type City/Town/Village
7. Gary, also known as Deuel County / Gary city, Gary, South Dakota (fb:m.0_q1t): Gary is a city in Deuel County, South Dakota, United States. The population was 227 at the 2010 census., has type City/Town/Village
8. Gary, also known as Gary, West Virginia, McDowell County / Gary city (fb:m.010xrg): Gary is a town located along the Tug Fork River in McDowell Coun...oe became part of Gary at the time of its incorporation in 1971., has type City/Town/Village
9. Gary City, also known as Gary, Gary City, Texas, Gary, Texas, Panola County / Gary City town (fb:m.0107k4): Gary City is a town in Panola County, Texas, United States. The population was 311 at the 2010 census., has type City/Town/Village
10. Hodgkins, also known as Gary, Illinois, Hodgkins, Illinois, Gary, Cook County / Hodgkins village (fb:m.0s502): Hodgkins is a village in Cook County, Illinois, United States. T...re ease of transportation to locations across the United States., has type City/Town/Village

[Assistant]
There are two entities for Gary Knell:
1. Gary Knell (fb:m.0h976b6) - president and CEO of the National Geographic Society, former CEO of Sesame Workshop.
2. Gary E. Knell (fb:m.0clv5wb) - also an organization leader.

I will check the organizations led by the first entity (fb:m.0h976b6) to see if there is a radio station in New York City associated with him.

[Tool]
Got 10 rows and 2 columns:
| org              | orgLabel                   |
| ---------------- | -------------------------- |
| NPR (fb:m.0c0sl) | National Public Radio (ca) |
| NPR (fb:m.0c0sl) | National Public Radio (de) |
| NPR (fb:m.0c0sl) | National Public Radio (fi) |
| NPR (fb:m.0c0sl) | National Public Radio (fr) |
| NPR (fb:m.0c0sl) | National Public Radio (id) |
| NPR (fb:m.0c0sl) | National Public Radio (it) |
| NPR (fb:m.0c0sl) | National Public Radio (nl) |
| NPR (fb:m.0c0sl) | National Public Radio (no) |
| NPR (fb:m.0c0sl) | National Public Radio (pt) |
| NPR (fb:m.0c0sl) | National Public Radio (ru) |

[Assistant]
Gary Knell (fb:m.0h976b6) is associated with the organization NPR (National Public Radio) (fb:m.0c0sl).

Next, I will check if NPR has a radio station in New York City. I will look for locations or stations related to NPR in New York City.

[Tool] Got no rows and 2 columns

[Assistant]
There are no direct radio stations in New York City linked as a child organization of NPR with Gary Knell as a leader.

I will try a different approach: I will find organizations led by Gary Knell and then check if their headquarters or location is in New York City. This might help identify the radio station.

[Tool] Got no rows and 3 columns

[Assistant]
There are no organizations led by Gary Knell with headquarters located in New York City.

I will now check if there is any radio station in New York City that has an organizational leader named Gary Knell, without restricting to organizations led by Gary Knell. This might help find the radio station directly.

[Tool] Got no rows and 2 columns

[Assistant]
There are no radio stations in New York City with Gary Knell as an organizational leader according to the data.

I will now check the second entity for Gary Knell (fb:m.0clv5wb) to see if there is any radio station in New York City associated with him.

[Tool] Got no rows and 2 columns

[Assistant]
The second entity for Gary Knell (fb:m.0clv5wb) does not seem to have any organizations linked as a leader.

Given the information, the only relevant organization led by Gary Knell (fb:m.0h976b6) is NPR (National Public Radio), but there is no specific radio station in New York City linked to him in the data.

I will provide the answer based on this finding.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?actor ?actorLabel WHERE {
  ?film fb:film.film.starring ?performanceTyler .
  ?performanceTyler fb:film.performance.character fb:m.05m1x3_ .
  ?film fb:film.film.starring ?performanceJacob .
  ?performanceJacob fb:film.performance.character fb:m.02qd_td .
  ?performanceJacob fb:film.performance.actor ?actor .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel FILTER ( LANG( ?actorLabel ) = "en" )
  }
}
LIMIT 10

The actor who plays Jacob Black in the film with the character Tyler Crowley is Taylor Lautner.

[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] In the film with the character Tyler Crowley who plays Jacob Black?

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

[Tool]
Example 1:
Question:
In the movie that features Tyler Crowley, who plays Jacob Black?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film.starring ?k .
  ?k fb:film.performance.character fb:m.05m1x3_ .
  ?c fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02qd_td .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character
Tyler Crowley, also known as Tyler (fb:m.05m1x3_): Tyler Crowley is a fictional character from Stephanie Meyer's Tw...ibed as being headstrong, funny, and "cocky" according to Bella., has type Film character

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 2:
Question:
In the film with the character named Tyler Crowley, who played Jacob Black?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film.starring ?k .
  ?k fb:film.performance.character fb:m.05m1x3_ .
  ?c fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.02qd_td .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., has type Film character
Tyler Crowley, also known as Tyler (fb:m.05m1x3_): Tyler Crowley is a fictional character from Stephanie Meyer's Tw...ibed as being headstrong, funny, and "cocky" according to Bella., has type Film character

Using properties:
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Character (fb:film.performance.character): part of Film performance schema, links to type Film character

Example 3:
Question:
What movie features a character named Jacob Black?

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.02qd_td .
  ?c fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
Jacob Black, also known as Jake (fb:m.02qd_td): Jacob Black is a character in the Twilight series by Stephenie M...t 1 and Breaking Dawn Part 2, Jacob is played by Taylor Lautner., 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
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that the characters Tyler Crowley and Jacob Black have Freebase IDs fb:m.05m1x3_ and fb:m.02qd_td respectively. The approach is to find films featuring the character Tyler Crowley and then find the actor who plays Jacob Black in those films.

I will now construct and execute a SPARQL query based on this approach to find the actor who plays Jacob Black in the film with the character Tyler Crowley.

[Tool]
Got 1 row and 2 columns:
| actor                        | actorLabel          |
| ---------------------------- | ------------------- |
| Taylor Lautner (fb:m.07ldhs) | Taylor Lautner (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college WHERE {
  fb:m.024v2j fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  ?college fb:education.educational_institution.sports_teams fb:m.0288v1m .
}

Paul Ryan attended Miami University, which has the Miami RedHawks men's basketball team.

[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 college did Paul Ryan attend that has a team Miami RedHawks men's basketball?

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

[Tool]
Example 1:
Question:
What college was attended by Marco Rubio and has a newspaper called The Miami Hurricane?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dpr5f ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dpr5f fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.educational_institution.newspaper fb:m.026xkb0 .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
The Miami Hurricane (fb:m.026xkb0): The Miami Hurricane, founded in 1929, is the official student ne...RE, which distributes and promotes its content to their network., has type School newspaper
Marco Rubio (fb:m.0dpr5f): Marco Antonio Rubio is the junior United States Senator from Flo...te, along with Bob Menendez of New Jersey and Ted Cruz of Texas., has type U.S. Congressperson

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Newspaper (fb:education.educational_institution.newspaper): part of Educational Institution schema, links to type School newspaper
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
What university with men's basketball sports team named Florida Gators did Marco Rubio go to?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dpr5f ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dpr5f fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.educational_institution.sports_teams fb:m.02q6by8 .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Florida Gators men's basketball, also known as UF Gators Men's Basketball, Florida Basketball, UF Gators Mens Basketball, UF Men's Basketball, UF Mens Basketball (fb:m.02q6by8): The Florida Gators men's basketball team represents the Universi...campus, and they are led by first-year head coach Michael White., has type School sports team
Marco Rubio (fb:m.0dpr5f): Marco Antonio Rubio is the junior United States Senator from Flo...te, along with Bob Menendez of New Jersey and Ted Cruz of Texas., has type U.S. Congressperson

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Sports teams (fb:education.educational_institution.sports_teams): part of Educational Institution schema, links to type School sports team
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
What educational institution with baseball sports team named Miami Hurricanes did Marco Rubio go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dpr5f ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dpr5f fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.educational_institution.sports_teams fb:m.027ww26 .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Miami Hurricanes baseball, also known as University of Miami Mens Baseball, UM Mens Baseball, University of Miami Men's Baseball, University of Miami Hurricanes Mens Baseball, University of Miami Hurricanes Men's Baseball (fb:m.027ww26): The Miami Hurricanes baseball team is the college baseball progr...the team has been under the leadership of head coach Jim Morris., has type Baseball Team
Marco Rubio (fb:m.0dpr5f): Marco Antonio Rubio is the junior United States Senator from Flo...te, along with Bob Menendez of New Jersey and Ted Cruz of Texas., has type U.S. Congressperson

Using properties:
Notable types (fb:common.topic.notable_types): part of Topic schema, links to type Type
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Sports teams (fb:education.educational_institution.sports_teams): part of Educational Institution schema, links to type School sports team
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, I see that the approach is to find the person entity, then find the educational institutions they attended, and then filter those institutions by the sports team they have.

Step 1: Find the entity for Paul Ryan.
Step 2: Find the entity for the Miami RedHawks men's basketball team.
Step 3: Find the educational institutions attended by Paul Ryan that have the Miami RedHawks men's basketball team.

I will start by searching for the entity of Paul Ryan.

[Tool]
Top 10 entity alternatives:
1. Paul Ryan, also known as Paul D. Ryan, Jr. (fb:m.024v2j): Paul Davis Ryan is an American politician and member of the Repu...ith the two chambers controlled by different parties since 1986., Paul Ryan appeared in the 2012 film Koch Brothers Exposed., has type U.S. Congressperson
2. Paul Ryan, also known as Ryan, Paul (fb:m.01txkpd): Paul Ryan was an English singer, songwriter and record producer....h their version of "Eloise". He died of cancer at the age of 44., has type Composer
3. Paul Ryan (fb:m.02rfpsy): Paul Ryan is an American comic book and comic strip cartoonist. ...s the daily comic strip The Phantom for King Features Syndicate., has type Fictional Character Creator
4. Paul Ryan (fb:m.09k51_7): Paul Ryan is a British music agent for The Agency Group, and former guitarist of Cradle of Filth., has type Musician
5. Paul Ryan, also known as Bernard Feldman (fb:m.05w0n4q): Paul Ryan born Bernard Paul Feldman was an American actor, produ...oseph Medical Center in Burbank, California of leukemia in 2015., Paul Ryan is an actor and author., has type Author
6. Paul Ryan (fb:m.02719_3): Paul Ryan is a fictional character on the CBS soap opera As the ...st portrayed by Roger Howarth who stepped into the role in 2003., has type TV Character
7. Paul F. Ryan, also known as Paul Ryan (fb:m.026d62r): Paul F. Ryan is a film producer, director, and teacher. He is be... Orange, California. Paul F. Ryan at the Internet Movie Database, has type Film director
8. Paul Ryan, also known as Paul "Scrap Iron" Ryan, Scrap Iron (fb:m.0yqm51_): Paul "Scrap Iron" Ryan born in Kent is an English professional l... i.e. light welterweight to 148 ³⁄₄ lb, i.e. light middleweight., has type Boxer
9. Paul Ryan (fb:m.0gjcwf2): Paul Louis Ryan was an American video artist and communications ...he Peircean relational circuit and Earthscore notational system., has type Author
10. Paul Ryan (fb:m.03c9xkb): Paul Ryan is a guitarist and vocalist for the Kansas-based techn...own of Topeka, Kansas. Necrotomy in 1991 & Abomination 1992-1993, has type Guitarist

[Assistant] I found the entity for Paul Ryan, the American politician, as fb:m.024v2j. Next, I will search for the entity of the Miami RedHawks men's basketball team.

[Tool]
Top 10 entity alternatives:
1. Miami RedHawks men's basketball (fb:m.0288v1m): The Miami RedHawks men's basketball team intercollegiate men's b...ami's Wayne Embry, Randy Ayers, Ron Harper and Wally Szczerbiak., has type School sports team
2. 2009–10 Miami RedHawks men's basketball team (fb:m.080bq14): The 2009–10 Miami RedHawks basketball team will represent Miami ...by Charlie Coles and will play their homes game in Millett Hall.
3. 2013–14 Miami RedHawks men's basketball team (fb:m.0y4w38g): The 2013–14 Miami RedHawks men's basketball team represented Mia... the second round of the MAC Tournament where they lost to Ohio.
4. 2012–13 Miami RedHawks men's basketball team (fb:m.0nb8m6s): The 2012–13 Miami RedHawks men's basketball team represented Mia...ol 100.3", ending the broadcast of RedHawks basketball on 100.3.
5. 2014–15 Miami RedHawks men's basketball team (fb:m.010fb51c): The 2014–15 Miami RedHawks men's basketball team represented Mia...st in the first round of the MAC Tournament to Eastern Michigan.
6. Miami Hurricanes men's basketball, also known as University of Miami Canes Mens Basketball, University of Miami Hurricanes Basketball, University of Miami Hurricanes Men's Basketball, University of Miami Hurricanes Mens Basketball, University of Miami Men's Basketball (fb:m.05c8dy1): The Miami Hurricanes men's basketball team represents the Univer...im Larranaga and play their home games at the BankUnited Center., has type Basketball Team
7. Seattle Redhawks men's basketball, also known as Seattle University men's basketball, SU Redhawks men's basketball (fb:m.05hk4qn): Seattle Redhawks men's basketball is the men's basketball team r...nce. They were previously a member of the West Coast Conference., has type Basketball Team
8. Miami RedHawks men's ice hockey (fb:m.05q89hd): The Miami RedHawks men's ice hockey team is a National Collegiat...ciation. They play in Steve Cady Arena at the Goggin Ice Center., has type School sports team
9. Southeast Missouri State Redhawks Men's basketball (fb:m.05gjd9m): The Southeast Missouri State Redhawks men's basketball team repr...and NCAA Division II. They were NAIA national champions in 1943., has type School sports team
10. 2013–14 Seattle Redhawks men's basketball team (fb:m.0x25jvn): The 2013–14 Seattle Redhawks men's basketball team represented S... in the quarterfinals of the WAC Tournament to New Mexico State.

[Assistant] I found the entity for Miami RedHawks men's basketball team as fb:m.0288v1m. Now I will write a query to find the college that Paul Ryan (fb:m.024v2j) attended that has the Miami RedHawks men's basketball team (fb:m.0288v1m).

[Tool]
Got 1 row and 1 column:
| college                        |
| ------------------------------ |
| Miami University (fb:m.01r3y2) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  {
    fb:m.02rjhky fb:film.director.film ?movie .
  }
  {
    fb:m.0dl567 fb:film.actor.film ?movie .
  }
}

There are no movies directed by Chris Renaud that have featured Taylor Swift.

[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 movies directed by Chris Renaud have featured Taylor Swift?

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

[Tool]
Example 1:
Question:
What movies has the award nominated artist for Chriscolfer star in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:award.award_nominee.award_nominations ?k .
  ?k fb:award.award_nomination.nominated_for fb:m.0yz0kj5 .
  ?c fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
}

Using entities:
chriscolfer (fb:m.0yz0kj5): chriscolfer is a 2011 and 2013 Shorty Awards winning Twitter microblog curated by Chris Colfer., has type Blog

Using properties:
Nominated work (fb:award.award_nomination.nominated_for): links to type Award-Nominated Work, part of Award Nomination schema
Award Nominations (fb:award.award_nominee.award_nominations): links to type Award Nomination, part of Award Nominee schema
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What movies feature both Taylor Momsen and Josh Ryan Evans?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.067qp2 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.067qp2 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.starring ?c .
  ?c fb:film.performance.actor fb:m.011w1p .
}

Using entities:
Josh Ryan Evans, also known as JRE, Joshua Ryan Evans, Josh Evans (fb:m.011w1p): Joshua Ryan "Josh" Evans was an American actor who became known ...at prevented his body from growing. He was 3 feet 2 inches tall., has type Film actor
Taylor Momsen, also known as Little J, Taylor Michel Momsen, Momsen, Taylor (fb:m.067qp2): Taylor Michel Momsen is an American actress and musician. She is...h Stole Christmas. She fronts the rock band The Pretty Reckless., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
Who has dated Taylor Swift and is the actor who portrayed the character Trent?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0dl567 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0dl567 fb:celebrities.celebrity.sexual_relationships ?y .
  ?y fb:celebrities.romantic_relationship.celebrity ?x .
  ?x fb:film.actor.film ?c .
  ?c fb:film.performance.character fb:m.08ndtm2 .
}

Using entities:
Trent (fb:m.08ndtm2): Trent is a fictional character from the Total Drama franchise., has type Film character
Taylor Swift, also known as Swifty, Tay, Taylor Alison Swift, T-Swizzle (fb:m.0dl567): Taylor Alison Swift is an American singer-songwriter and actress...n one million copies within the first week of their U.S release., has type Celebrity

Using properties:
Romantic relationships (with celebrities) (fb:celebrities.celebrity.sexual_relationships): links to type Romantic relationship, part of Celebrity schema
Celebrity (fb:celebrities.romantic_relationship.celebrity): part of Romantic relationship schema, links to type Celebrity
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

[Assistant]
From the examples, it is clear that to find movies directed by Chris Renaud that have featured Taylor Swift, we need to:

1. Identify Chris Renaud as a director and find movies he directed.
2. Identify Taylor Swift as an actor and find movies she acted in.
3. Find the intersection of these movies.

Let's start by searching for the entity "Chris Renaud" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Chris Renaud (fb:m.02rjhky): Chris Renaud is an American illustrator and filmmaker. He was no... he also co-created and lent his voice to The Minion characters., has type Film director
2. Chris Renaud (fb:m.0ds95n): Chris Renaud is a former backstroke swimmer from Canada, who com... Renaud played hockey for the Montreal Junior Canadiens in 1967., has type Olympic athlete
3. Chris Renaud (fb:m.0bmfnj2): Chris Renaud is a retired Canadian professional ice hockey defen...hip as a member of the Tulsa Oilers team coached by Tom Webster., has type Athlete
4. Alain Payet, also known as John Love, René Hoarau, John Oven, Renaud Chrisole, René Houaro (fb:m.02_x2x): Alain Payet, also known under the pseudonyms John Pardaillan, Jo..., was a film director of French pornographic movies and erotica., has type Film director
5. Christian Renaud (fb:m.0v3dr16): Christian Renaud is an actor., has type Film actor
6. Christian Renaud (fb:m.0r5r789): Christian Renaud is an actor., has type Film actor
7. Christopher Renaud (fb:m.0nf3fkh): Christopher Renaud is a cinematographer., has type Film cinematographer
8. Christine Renaudin (fb:m.0lmt1kz): Christine Renaudin is an actress., has type Film actor
9. Chris Brown, also known as Christopher Maurice "Chris" Brown, Christopher Maurice Brown, Chris Breezy, Chris, CB (fb:m.07ss8_): Christopher Maurice "Chris" Brown is an American recording artis...t year, and included the top-twenty single "I Can Transform Ya"., has type Music video performer
10. Renaud Séchan, also known as Renaud Sechan, Renaud Secha, Renaud Pierre Manuel Séchan, Renaud (fb:m.01wb0t2): Renaud Pierre Manuel Séchan, known as Renaud, is a popular Frenc...", his work is almost unknown outside the French-speaking world., has type Musical Artist

[Assistant] We found the entity for Chris Renaud as a film director with the identifier fb:m.02rjhky. Now let's search for the entity "Taylor Swift" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Taylor Swift, also known as Swifty, Tay, Taylor Alison Swift, T-Swizzle (fb:m.0dl567): Taylor Alison Swift is an American singer-songwriter and actress...n one million copies within the first week of their U.S release., has type Celebrity
2. Taylor Swift, also known as Taylor Swift Deluxe Edition, Taylor Swift Karaoke: Taylor Swift (fb:m.03g7rsz): Taylor Swift is the debut studio album by American singer-songwr...ecoming the album's best-charting song on the Billboard Hot 100., has type Musical Album
3. Taylor Swift (fb:m.049mz_l): has type Consumer product
4. Taylor Swift (fb:m.03xt5gq): has type Consumer product
5. Taylor Swift (fb:m.03fqskt): has type Consumer product
6. Taylor Swift (fb:m.0dmynr2): has type Consumer product
7. Taylor Swift (fb:m.0x7vk80): has type Consumer product
8. Taylor Swift (fb:m.07yg7sm): Live from New York, it's... Kristen Wiig!  Sketches include "Fox...."  Taylor Swift performed "You Belong To Me" and "Untouchable.", has type TV Episode
9. Taylor Swift (fb:m.01359876): has type Consumer product
10. Taylor Swift (fb:m.01332b45): has type Consumer product

[Assistant] We found the entity for Taylor Swift as a celebrity with the identifier fb:m.0dl567. Next, let's find the movies directed by Chris Renaud (fb:m.02rjhky).

[Tool]
Got 7 rows and 3 columns:
| subject                     | property                               | object                                                                             |
| --------------------------- | -------------------------------------- | ---------------------------------------------------------------------------------- |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | Despicable Me (fb:m.06zkfsy)                                                       |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | Despicable Me 2 (fb:m.0gwn31_)                                                     |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | The Lorax (fb:m.087wc7n)                                                           |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | No Time for Nuts (fb:m.026hymn)                                                    |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | The Secret Life of Pets (fb:m.0115c2x3)                                            |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | Despicable Me Presents: Minion Madness (fb:m.0g9gsz3)                              |
| Chris Renaud (fb:m.02rjhky) | Films directed (fb:film.director.film) | On the Marriage Broker Joke as C...he Avant-Garde Artist Be Wholed? (fb:m.0_b7bk5) |

[Assistant]
Chris Renaud has directed the following movies:
- Despicable Me (fb:m.06zkfsy)
- Despicable Me 2 (fb:m.0gwn31_)
- The Lorax (fb:m.087wc7n)
- No Time for Nuts (fb:m.026hymn)
- The Secret Life of Pets (fb:m.0115c2x3)
- Despicable Me Presents: Minion Madness (fb:m.0g9gsz3)
- On the Marriage Broker Joke as C...he Avant-Garde Artist Be Wholed? (fb:m.0_b7bk5)

Next, let's find the movies in which Taylor Swift (fb:m.0dl567) has acted.

[Tool]
Got 5 rows and 3 columns:
| subject                    | property                               | object       |
| -------------------------- | -------------------------------------- | ------------ |
| Taylor Swift (fb:m.0dl567) | Film performances (fb:film.actor.film) | fb:m.09kkm44 |
| Taylor Swift (fb:m.0dl567) | Film performances (fb:film.actor.film) | fb:m.0gwnx7m |
| Taylor Swift (fb:m.0dl567) | Film performances (fb:film.actor.film) | fb:m.0y4q1x7 |
| Taylor Swift (fb:m.0dl567) | Film performances (fb:film.actor.film) | fb:m.0ysr8tn |
| Taylor Swift (fb:m.0dl567) | Film performances (fb:film.actor.film) | fb:m.0znq0tb |

[Assistant]
Taylor Swift has acted in the following movies (identified by their Freebase IDs):
- fb:m.09kkm44
- fb:m.0gwnx7m
- fb:m.0y4q1x7
- fb:m.0ysr8tn
- fb:m.0znq0tb

Next, I will check which of these movies are directed by Chris Renaud by finding the intersection of these two sets of movies.

[Tool] Got no rows and 1 columns

[Assistant] There are no movies that are both directed by Chris Renaud and feature Taylor Swift as an actor. I will now provide the final answer.

[Tool] Stopped generation process


The knowledge graph does not contain data on Turkey's trade partners using the properties places_exported_to or places_imported_from. Therefore, I cannot find Turkey's trade partners, neither filtered by ISO numeric code nor without filtering. The data needed to answer the question is not available in the knowledge graph.

[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] Out of the countries with a ISO numeric greater than 008, who is turkey trade partners with?

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

[Tool]
Example 1:
Question:
Which country has an ISO numeric greater than 196 and speaks turkish?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02hwyss ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02hwyss fb:language.human_language.countries_spoken_in ?x .
  ?x fb:location.country.iso_numeric ?num .
  FILTER ( xsd:integer ( ?num ) > 196 ) .
}

Using entities:
Turkish Language, also known as Osmanli, Turkish language, Turkish, Türkisch, Turki (fb:m.02hwyss): Turkish, also referred to as Istanbul Turkish, is the most widel...ial distance, age, courtesy or familiarity toward the addressee., has type Human Language

Using properties:
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country
ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema

Example 2:
Question:
This Balkan Peninsula country also has an ISO number of 008.?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01jjk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01jjk fb:location.location.contains ?x .
  ?x fb:base.biblioness.bibs_location.loc_type ?sk0 .
  FILTER ( str( ?sk0 ) = "Country" ) ?x fb:location.country.iso_numeric "008" .
}

Using entities:
Balkans, also known as Balkan Peninsula, Southeastern Europe, South Eastern Europe (fb:m.01jjk): The Balkan Peninsula, popularly referred to as the Balkans, is a...ount Musala 2,925 metres on the Rila mountain range in Bulgaria., has type Region

Using properties:
Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
Contains (fb:location.location.contains): part of Location schema, links to type Location

Example 3:
Question:
What country is a trading partner of Iran and as an iso alpha 3 MDG?

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.country.iso_alpha_3 "MDG" .
}

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

Using properties:
ISO Alpha 3 (fb:location.country.iso_alpha_3): links to type Enumeration, part of Country schema
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, I see that the property for ISO numeric code of a country is fb:location.country.iso_numeric. Also, the trade partners can be found using properties related to imports and exports such as fb:location.imports_and_exports.exported_to and fb:location.imports_and_exports.imported_from or places exported to and imported from.

Next, I will search for the entity "Turkey" in the knowledge graph to get its identifier. Then I will check the properties related to trade partners for Turkey.

[Tool]
Top 10 entity alternatives:
1. Turkey, also known as Republic of Turkey, Turkiye, Türkiye (fb:m.01znc_): Turkey, officially the Republic of Turkey, is a parliamentary re...r the Roman Empire and its transition into the Byzantine Empire., has type Country
2. Turkey (fb:m.0jly1): The turkey is a large bird in the genus Meleagris, which is nati...rmes, the male is larger and much more colorful than the female., has type Domesticated animal
3. Turkey, also known as Hall County / Turkey city, Turkey, Texas (fb:m.01028y): Turkey is a city in Hall County, Texas, United States. The population was 421 at the 2010 census., has type City/Town/Village
4. Turkey, also known as Turkey, North Carolina, Sampson County / Turkey town (fb:m.0ykrt): Turkey is a town in Sampson County, North Carolina, United States. The population was 292 at the 2010 census., has type City/Town/Village
5. Matthew Best, also known as Matt Best, Matthew Best, Turkey (fb:m.03j1_6v): has type Composer
6. Turkey (fb:m.0fhh7sq): has type Consumer product
7. Curtis Brown, also known as Turkey, Curtis Jamall Brown (fb:m.0crg342): Curtis Brown is an American football cornerback for the New York...tball League. He played collegiately at the University of Texas., has type American football player
8. Dean Couzins, also known as Deano, Dean Warren Couzins, Turkey (fb:m.0cw5k3): Dean Warren Couzins is a field hockey player from New Zealand, w...lping them to a successful first year in the Dutch first league., has type Olympic athlete
9. Torkia, also known as torkia, Turkey (fb:m.01bt01j): has type Musical Recording
10. Turkey (fb:m.03xr214): has type Musical Release

[Assistant] The entity for the country Turkey is fb:m.01znc_. Now I will search for properties related to trade partners or imports and exports for this entity.

[Tool]
Top 10 property alternatives:
1. Trade balance (% of GDP) (fb:location.statistical_region.trade_balance_as_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
2. Merchandise trade (% of GDP) (fb:location.statistical_region.merchandise_trade_percent_of_gdp): part of Statistical region schema, links to type Dated Percentage
3. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
4. Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
5. Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
6. Continent (fb:base.locations.countries.continent): links to type Continents, part of Countries schema
7. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema
8. Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
9. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
10. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team

No other items found

[Assistant] The property "Places exported to" (fb:location.statistical_region.places_exported_to) seems relevant for finding trade partners of Turkey. I will now check the ISO numeric code of countries to filter those with a code greater than 008. Then I will find the trade partners of Turkey among those countries.

[Tool] Got no rows and 3 columns

[Assistant] It seems that the property fb:location.statistical_region.places_exported_to does not return results for Turkey. I will try another approach by checking properties related to imports and exports for Turkey to find trade partners.

[Tool]
Top 10 property alternatives:
1. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
2. Places exported to (fb:location.statistical_region.places_exported_to): links to type Imports and exports, part of Statistical region schema
3. Net migration (fb:location.statistical_region.net_migration): part of Statistical region schema, links to type Dated Integer
4. Type (fb:base.biblioness.bibs_location.loc_type): part of Bibs Location schema, links to type Text
5. Type (fb:type.object.type): part of Object schema, links to type Type
6. Contains (fb:location.location.contains): part of Location schema, links to type Location
7. Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema
8. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
9. ISO Alpha 2 (fb:location.country.iso3166_1_alpha2): links to type Enumeration, part of Country schema
10. Teams (fb:sports.sports_team_location.teams): part of Sports Team Location schema, links to type Sports Team

No other items found

[Assistant] There are no direct properties for imports or exports for Turkey other than "Places exported to". I will try to find countries with ISO numeric greater than 008 first, then check if Turkey is a trade partner with them using "places exported to" or "places imported from" properties.

[Tool]
Got 10 rows and 2 columns:
| country                     | countryLabel              |
| --------------------------- | ------------------------- |
| Åland Islands (fb:m.014mxp) | Ahvenamaa (et)            |
| Åland Islands (fb:m.014mxp) | Ahvenanmaan maakunta (fi) |
| Åland Islands (fb:m.014mxp) | Åland (da)                |
| Åland Islands (fb:m.014mxp) | Åland (de)                |
| Åland Islands (fb:m.014mxp) | Åland (es)                |
| Åland Islands (fb:m.014mxp) | Åland (fr)                |
| Åland Islands (fb:m.014mxp) | Åland (hu)                |
| Åland Islands (fb:m.014mxp) | Åland (ms)                |
| Åland Islands (fb:m.014mxp) | Åland (nl)                |
| Åland Islands (fb:m.014mxp) | Åland (no)                |

[Assistant] I found countries with ISO numeric greater than 008, but the results are mostly different labels for the same entity Åland Islands. I will increase the limit and try to get distinct countries with their English labels. Then I will check if Turkey exports to or imports from these countries.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                     | countryLabel       |
| --------------------------- | ------------------ |
| Åland Islands (fb:m.014mxp) | Åland Islands (en) |
| Belgium (fb:m.0154j)        | Belgium (en)       |
| Brazil (fb:m.015fr)         | Brazil (en)        |
| Bulgaria (fb:m.015qh)       | Bulgaria (en)      |
| Bahamas (fb:m.0160w)        | Bahamas (en)       |
| ...                         | ...                |
| Cambodia (fb:m.01xbgx)      | Cambodia (en)      |
| Saudi Arabia (fb:m.01z215)  | Saudi Arabia (en)  |
| Yemen (fb:m.01z88t)         | Yemen (en)         |
| Turkey (fb:m.01znc_)        | Turkey (en)        |
| Cook Islands (fb:m.020p1)   | Cook Islands (en)  |

[Assistant] I have a list of countries with ISO numeric greater than 008 including Turkey. Now I will check if Turkey exports to or imports from these countries using the properties fb:location.statistical_region.places_exported_to and fb:location.statistical_region.places_imported_from. I will write a query to find Turkey's trade partners among these countries.

[Tool] Got no rows and 2 columns

[Assistant]
There are no results for Turkey's trade partners using the properties places_exported_to or places_imported_from filtered by countries with ISO numeric greater than 008. It seems the data for Turkey's trade partners is not available or not linked in this knowledge graph.

I will now try to find any trade partners of Turkey without the ISO numeric filter to see if there is any trade partner data available for Turkey at all.

[Tool] Got no rows and 2 columns

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?religion WHERE {
  fb:m.0jdd fb:location.statistical_region.religions ?religion .
}

The primary religions in Afghanistan, the country that formerly used Abasi as its currency, are represented by the entities fb:m.0493b56 and fb:m.0493b5d in the knowledge graph.

[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 are the primary religions in the countries that uses Abasi as their currency?

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

[Tool]
Example 1:
Question:
What type of government is practiced where Abasi is accepted as currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.07vn8x .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Abasi (fb:m.07vn8x): has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema

Example 2:
Question:
What is the name of Abasi currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.07vn8x .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Abasi (fb:m.07vn8x): has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema

Example 3:
Question:
What language is spoken by most people who use Abasi as currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.07vn8x .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Abasi (fb:m.07vn8x): has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema

[Assistant]
From the examples, we see that "Abasi" is represented as a currency entity fb:m.07vn8x in Freebase. The property to find countries that use a currency is fb:location.country.currency_used or fb:location.country.currency_formerly_used. To find the primary religions in a country, we need to identify the relevant property for religion in the country entity.

Next, I will search for properties related to religion for a country entity to find the appropriate property to use in the query.

[Tool]
Top 10 property alternatives:
1. Religion (fb:user.crism.default_domain.confirmed_believer.religion): part of Confirmed believer schema, links to type Religion
2. religion (fb:base.religious_phenomena.reincarnation.religion): part of Reincarnation schema, links to type Religion
3. Religion (fb:base.schemastaging.religion_statistics.religion): part of Religion statistics schema, links to type Religion
4. Religion (fb:religion.adherents.religion): part of Adherents schema, links to type Religion
5. Religion (fb:religion.monastery.religion): part of Monastery schema, links to type Religion
6. Religion (fb:religion.type_of_place_of_worship.religion): part of Type of place of worship schema, links to type Religion
7. Religion (fb:religion.religious_leadership_role.religion): part of Religious Leadership Role schema, links to type Religion
8. Religion (fb:religion.place_of_worship_historical_use.religion): part of Place of worship historical use schema, links to type Religion
9. Religion (fb:base.popstra.celebrity.religion): links to type Religion Choice, part of Celebrity schema
10. Religion (fb:base.popstra.religion_choice.religion): part of Religion Choice schema, links to type Religion

[Assistant]
The search results show many properties related to religion, but they seem to be related to specific domains like believers, monasteries, religious leadership, etc. I need to find a property related to the primary or main religion of a country.

I will now search for properties related to religion specifically for a country entity to find the relevant property.

[Tool]
No property items found

No other items found

[Assistant] There are no direct properties related to religion for the country entity "United States" in the search. I will try a broader search for properties related to religion in general to see if there is a property that links countries to their primary religions.

[Tool]
Top 10 property alternatives:
1. Primary? (fb:base.vcbase.tvc.primary): links to type Boolean, part of tvc schema
2. Primary (fb:base.astronomydominy.binary_star_system.primary): part of binary star system schema, links to type Celestial Object
3. Primary Language (fb:base.scenedb.scene_group.primary_language): part of Scene Group schema, links to type Language
4. Primary language (fb:film.film.primary_language): links to type Human Language, part of Film schema
5. Religious Affiliation (fb:user.brodrigu.default_domain.church.religious_affiliation): links to type Religion, part of Church schema
6. Religious affiliation (fb:base.charities.charity.religious_affiliation): links to type Religion, part of Charity schema
7. Religion (fb:user.crism.default_domain.confirmed_believer.religion): part of Confirmed believer schema, links to type Religion
8. religion (fb:base.religious_phenomena.reincarnation.religion): part of Reincarnation schema, links to type Religion
9. Religion (fb:religion.religious_leadership_role.religion): part of Religious Leadership Role schema, links to type Religion
10. Religion (fb:religion.place_of_worship_historical_use.religion): part of Place of worship historical use schema, links to type Religion

[Assistant] The search for "primary religion" did not yield a direct property linking countries to their primary religions. I will try searching for "religion" in the context of countries to see if there is a property that relates countries to religions.

[Tool]
No property items found

No other items found

[Assistant] There are no direct properties related to religion for the country entity in Freebase. I will try to find the countries that use Abasi as their currency first and then check if there is any property related to religion for those countries.

[Tool]
Top 10 entity alternatives:
1. Abasi, also known as Abasi, India (fb:m.02q92m7): Abasi is a village in Sorab taluk of Shimoga district, Karnataka...s like Siralkoppa, Sagar, Shikapur, Hirekerur, Sirsi and Hangal., has type City/Town/Village
2. Abasi (fb:m.011qcp0w): Abasi is a fictional character from the 2007 film Battle in Seattle., has type Film character
3. Abasi (fb:m.0h0ph2m)
4. ABASI (fb:m.0zf_6_f): has type Aviation waypoint
5. Abasi (fb:m.07vn8x): has type Currency
6. Abasia (fb:m.07x_xw): Abasia is the inability to walk owing to impairment in motor coo...companied by astasis, an inability to stand, see Astasia-abasia., has type Symptom
7. Abasiophilia (fb:m.06hdm8): Abasiophilia is a psychosexual attraction to people with impaire... the Johns Hopkins University in a paper on paraphilias in 1990.
8. Tosin Abasi (fb:m.0fq17n7): Oluwatosin Ayoyinka Olumide Abasi, better known as Tosin Abasi, ... Leaders: a self-titled debut, Weightless and The Joy of Motion., has type Musician
9. Abasingammedda (fb:m.02pl_gr): Abasingammedda is a village in central Sri Lanka. It is just a mile to the east of Kandy. It has a population of about 11,000., has type City/Town/Village
10. Ali Abasi, also known as Ali Abassi (fb:m.0bfn1sw): Ali Abasi is a film producer., has type Film producer

[Assistant] The entity Abasi as a currency is identified as fb:m.07vn8x. Now I will find the countries that use Abasi as their currency using the property fb:location.country.currency_used or fb:location.country.currency_formerly_used.

[Tool] Got no rows and 1 columns

[Tool]
Got 1 row and 1 column:
| country                 |
| ----------------------- |
| Afghanistan (fb:m.0jdd) |

[Assistant] The country that formerly used Abasi as its currency is Afghanistan (fb:m.0jdd). Now I will search for properties related to religion for this country to find the primary religions.

[Tool]
Top 10 property alternatives:
1. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Subjects (fb:common.topic.subjects): part of Topic schema, links to type Topic
4. Population (fb:location.statistical_region.population): part of Statistical region schema, links to type Dated Integer
5. Languages spoken (fb:location.country.languages_spoken): links to type Human Language, part of Country schema
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Newspapers (fb:periodicals.newspaper_circulation_area.newspapers): part of Newspaper circulation area schema, links to type Newspaper
8. National anthem (fb:location.country.national_anthem): links to type National anthem of a country, part of Country schema
9. Name (fb:type.object.name): part of Object schema, links to type Text
10. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry

No other items found

[Assistant] The property fb:location.statistical_region.religions links to type Religion percentage and seems to be the relevant property for religions in a country or region. I will now query the primary religions in Afghanistan using this property.

[Tool]
Got 2 rows and 2 columns:
| religion     | religionLabel |
| ------------ | ------------- |
| fb:m.0493b56 |               |
| fb:m.0493b5d |               |

[Assistant] The query returned two religions for Afghanistan, but they do not have English labels. I will try to get the English labels for these religion entities separately.

[Tool]
Got 2 rows and 2 columns:
| religion     | label |
| ------------ | ----- |
| fb:m.0493b56 |       |
| fb:m.0493b5d |       |

[Assistant] The religion entities for Afghanistan do not have English labels in the knowledge graph. I will now finalize the answer by providing the religion entity identifiers as the primary religions in Afghanistan, the country that formerly used Abasi as its currency.

[Tool] Stopped generation process