PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  ?country fb:government.governmental_jurisdiction.government fb:m.0b7hx05 .
  ?country fb:location.country.official_language fb:m.04306rv .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| country                   | countryLabel      |
| ------------------------- | ----------------- |
| East Germany (fb:m.03f2w) | East Germany (en) |

The country with the German Democratic Republic where Germanic languages are spoken is East Germany.

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

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

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

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

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

[User] What is the name of the country with the German Democratic Republic where germanic languages are spoken?

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

[Tool]
Example 1:
Question:
What German speaking location that has the government called German Democratic Republic?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04306rv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04306rv fb:language.human_language.countries_spoken_in ?x .
  ?x fb:government.governmental_jurisdiction.government fb:m.0b7hx05 .
}

Using entities:
German Language, also known as Hochdeutsch, Tedesco, High German, German, Standard Language, German, Standard (fb:m.04306rv): German is a West Germanic language that derives most of its voca...alects or dialect groups are sometimes referred to as languages., has type Human Language
Government of the German Democratic Republic (fb:m.0b7hx05): has type Government

Using properties:
Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
Spoken in countries (fb:language.human_language.countries_spoken_in): part of Human Language schema, links to type Country

Example 2:
Question:
What nation where German was the official language had as its capital city East Berlin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04306rv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04306rv fb:language.human_language.countries_spoken_in ?x .
  ?x fb:location.country.official_language fb:m.04306rv .
  ?x fb:location.country.capital fb:m.02lcc .
}

Using entities:
East Berlin (fb:m.02lcc): East Berlin existed between 1949 and 1990. It comprised the east...R". The term "Democratic Sector" was also used until the 1960s.., has type City/Town/Village
German Language, also known as Hochdeutsch, Tedesco, High German, German, Standard Language, German, Standard (fb:m.04306rv): German is a West Germanic language that derives most of its voca...alects or dialect groups are sometimes referred to as languages., 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
Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

Example 3:
Question:
What country has the german speaking capital city of East Berlin?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04306rv ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04306rv fb:language.human_language.countries_spoken_in ?x .
  ?x fb:location.country.official_language fb:m.04306rv .
  ?x fb:location.country.capital fb:m.02lcc .
}

Using entities:
East Berlin (fb:m.02lcc): East Berlin existed between 1949 and 1990. It comprised the east...R". The term "Democratic Sector" was also used until the 1960s.., has type City/Town/Village
German Language, also known as Hochdeutsch, Tedesco, High German, German, Standard Language, German, Standard (fb:m.04306rv): German is a West Germanic language that derives most of its voca...alects or dialect groups are sometimes referred to as languages., 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
Capital (fb:location.country.capital): links to type City/Town/Village, part of Country schema
Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema

[Assistant]
From the examples, it is clear that the German Democratic Republic is represented by a government entity, and Germanic languages can be linked through the property of languages spoken in countries. The German language entity is fb:m.04306rv, and the government of the German Democratic Republic is fb:m.0b7hx05.

I will now write a SPARQL query to find the country where the government is the German Democratic Republic and where Germanic languages are spoken. I will use the property fb:language.human_language.countries_spoken_in to link the language to the country and fb:government.governmental_jurisdiction.government to link the country to the government.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results. It seems the approach to link the German Democratic Republic government directly to the country and the Germanic language to the country using the same property is not correct.

I will revise the query to directly find the country that has the government of the German Democratic Republic and where the German language (a Germanic language) is spoken. I will use the property fb:location.country.official_language to link the country to the German language and fb:government.governmental_jurisdiction.government to link the country to the government.

[Tool]
Got 1 row and 2 columns:
| country                   | countryLabel      |
| ------------------------- | ----------------- |
| East Germany (fb:m.03f2w) | East Germany (en) |

[Tool] Stopped generation process


The knowledge graph does not provide sufficient links between the character 'Jenny's Father' or 'Jenny's Dad', the movies they appear in, and the actors who played a kid in those movies. There are no performances or starring properties linking actors to these movies or characters. Therefore, I cannot find a satisfactory SPARQL query to answer the question.

[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 actor played the a kid in the movie with a character named Jenny's Father?

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

[Tool]
Example 1:
Question:
What actor was featured as the voice of Pamela Darrow's dad in a movie starring her?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film.other_crew ?k .
  ?k fb:film.film_crew_gig.crewmember fb:m.0cl7qyj .
  ?c fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.09nx23w .
}

Using entities:
Marlin, also known as Marlin the Clownfish (fb:m.09nx23w): This clown fish named Marlin is Nemos father and he has trouble ...use of this he becomes slightly over-protective of his son Nemo., has type Film character
Pamela Darrow (fb:m.0cl7qyj): Pamela Darrow is a visual effects artist., has type Film crewmember

Using properties:
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Performances (fb:film.film.starring): links to type Film performance, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig 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:
Who played Scout Finch's parent in the movie?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:fictional_universe.fictional_character.children fb:m.0j6n38m .
  ?c fb:film.film_character.portrayed_in_films ?y .
  ?y fb:film.performance.actor ?x .
}

Using entities:
Scout Finch, also known as Jean Louise "Scout" Finch (fb:m.0j6n38m): Scout Finch is a fictional character from To Kill a Mockingbird., has type Film character

Using properties:
Children (fb:fictional_universe.fictional_character.children): part of Fictional Character schema, links to type Fictional Character
Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
Actor (fb:film.performance.actor): part of Film performance schema, links to type Film actor

Example 3:
Question:
Who is the star of the film that has a character named Retreat Kid?

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.0vmyg8j .
  ?c fb:film.film.starring ?y .
  ?y fb:film.performance.actor ?x .
  ?y fb:film.performance.character fb:m.0gwwcp6 .
}

Using entities:
Simon Birch (fb:m.0gwwcp6): Simon Birch is a fictional character from the 1998 film Simon Birch., has type Film character
Retreat Kid (fb:m.0vmyg8j): Retreat Kid is a fictional character from the 1998 film Simon Birch., 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

[Assistant]
From the examples, it seems the approach is to:
1. Find the character "Jenny's Father" in the knowledge graph.
2. Find the movie(s) where this character appears.
3. Find the actor who played a kid in that movie.

First, I will search for the entity "Jenny's Father" in the knowledge graph to identify the character.

[Tool]
Top 10 entity alternatives:
1. Jenny's Dad, also known as Jenny's Father (fb:m.0k01n1q): Jenny's Dad is a fictional character from the 2005 film Jenny, Juno., has type Film character
2. Jenny's Father (fb:m.0y54dn_): Jenny's Father is a fictional character from the 1994 film Forrest Gump., has type Film character
3. Step Father, also known as Jenny's adoptive father (fb:m.0rqgv2j): Step Father is a fictional character from the 2005 film Sympathy for Lady Vengeance., has type Film character
4. Father (fb:m.0lbxg): A father is the male parent of a child. A biological father is t...dren can look up to is sometimes referred to as a father-figure., has type Literature Subject
5. Father, also known as Apa (fb:m.0hhsfr7): Father is a 1966 Hungarian drama film written and directed by Is...Revolution of 1956 and memories of the Arrow Cross dictatorship., has type Film
6. Tom Leykis, also known as Thomas Joseph Leykis, Father, The Professor (fb:m.02ssqb): Thomas Joseph "Tom" Leykis is an American talk radio personality...ne food and drink, airing weekends mainly in West Coast markets., has type Broadcast Artist
7. Father (fb:m.026f3k1): Father is a 1990 film about a retired German immigrant living in...s also entered into the 17th Moscow International Film Festival., has type Film
8. The Father, also known as Father, The Father (fb:m.02718_h): THe Father is a 1996 Iranian film by director Majid Majidi. It w...ran and internationally. The word pedar means father in Persian., has type Award-Winning Work
9. Father (fb:m.0k3dbm_): Father is a 2012 animated short film written by Ivan Bogdanov an...paruh Petrov, Veljko Popovic, Rositsa Raleva and Dmitry Yagodin., has type Film
10. Just a Father, also known as Father, The Semi-Serious Adventures of a Single Father, Perfect Skin (fb:m.0c6_09g): Solo un padre is a 2008 Italian comedy-drama film directed by Lu...ni. It is based on the novel Perfect Skin written by Nick Earls., has type Film

[Assistant]
I found two relevant entities for "Jenny's Father" as a film character:
1. Jenny's Dad (fb:m.0k01n1q) from the 2005 film Jenny, Juno.
2. Jenny's Father (fb:m.0y54dn_) from the 1994 film Forrest Gump.

Next, I will check the movies where these characters appear to confirm the context. I will start with the first one, Jenny's Dad (fb:m.0k01n1q).

[Tool]
Got 1 row and 3 columns:
| subject                    | property                                                       | object       |
| -------------------------- | -------------------------------------------------------------- | ------------ |
| Jenny's Dad (fb:m.0k01n1q) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0k01n1m |

[Assistant] Jenny's Dad (fb:m.0k01n1q) is portrayed in the film with the ID fb:m.0k01n1m. Now, I will find the actors who played a kid in this movie. To do this, I will first find the characters in this movie and check which of them are kids. I will start by listing the characters in the movie fb:m.0k01n1m.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct "starring" properties for the movie fb:m.0k01n1m. I will try to find the performances related to this movie using the property fb:film.performance.film.

[Tool] Got no rows and 3 columns

[Assistant] There are no performances directly linked to the movie fb:m.0k01n1m either. I will now try the second character, Jenny's Father (fb:m.0y54dn_), and check the movie it is portrayed in.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                                       | object       |
| ----------------------------- | -------------------------------------------------------------- | ------------ |
| Jenny's Father (fb:m.0y54dn_) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0y54dnx |

[Assistant] Jenny's Father (fb:m.0y54dn_) is portrayed in the film with the ID fb:m.0y54dnx. I will now find the actors who played a kid in this movie. To do this, I will find the characters in this movie and check which of them are kids. I will start by listing the characters in the movie fb:m.0y54dnx.

[Tool] Got no rows and 3 columns

[Assistant] There are no direct "starring" properties for the movie fb:m.0y54dnx. I will try to find the performances related to this movie using the property fb:film.performance.film.

[Tool] Got no rows and 3 columns

[Assistant] There are no performances directly linked to the movie fb:m.0y54dnx either. Since the direct approach is not yielding results, I will try a different approach: I will search for the property "played a kid" or similar to find how the role of a kid is represented in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. child (fb:base.svocab.localbusinesscategory.child): part of LocalBusinessCategory schema, links to type LocalBusinessCategory
2. Child (fb:user.synedra.didwho.person.child): part of Celebrity schema, links to type Child
3. Child (fb:user.synedra.didwho.parent.child): links to type Celebrity, part of Parent schema
4. Child (fb:base.divinity.divinity_child_relationship.child): part of Divinity child relationship schema, links to type Divinity
5. Child (fb:user.uoa_it.uoa_it.uoa_intermediary.child): part of UoA Intermediary schema, links to type UoA Intermediary
6. Child (fb:organization.organization.child): links to type Organization Relationship, part of Organization schema
7. Child (fb:organization.organization_relationship.child): part of Organization Relationship schema, links to type Organization
8. Child (fb:base.rosetta.languoid.child): part of Languoid schema, links to type Languoid
9. Human child (fb:base.divinity.divinity_human_child_relationship.human_child): part of Divinity-human child relationship schema, links to type Human child of divinity
10. Child Category (fb:user.alexander.default_domain.word_class.child_category): part of Word Class schema, links to type Word Class

[Assistant]
The search for properties related to "kid" mostly returned properties related to "child" in various schemas, but none directly related to "played a kid" or similar in films.

I will now try to find the characters in the movie with the character "Jenny's Father" (fb:m.0y54dn_) and check if any of them have a label or description indicating they are a kid. I will start by finding the movie for this character again and then list the characters in that movie.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                                       | object       |
| ----------------------------- | -------------------------------------------------------------- | ------------ |
| Jenny's Father (fb:m.0y54dn_) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0y54dnx |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant] The direct properties for starring or performances are not available for the movie fb:m.0y54dnx. I will try to find the performances of actors in the movie by searching for performances that have the movie as the film.

[Tool] Got no rows and 3 columns

[Assistant] There are no performances linked to the movie fb:m.0y54dnx. I will try to find the performances of the character "Jenny's Father" (fb:m.0y54dn_) to see if it links to any actor or movie.

[Tool] Got no rows and 3 columns

[Assistant] There are no performances linked to the character "Jenny's Father" (fb:m.0y54dn_). I will try to find the performances of the character "Jenny's Dad" (fb:m.0k01n1q) to see if it links to any actor or movie.

[Tool] Got no rows and 3 columns

[Assistant]
The direct approach to find the actor who played a kid in the movie with a character named Jenny's Father is not yielding results due to missing links between characters, movies, and performances.

I will try a different approach: I will search for the property "actor" related to the character "Jenny's Father" to find the actor who played this character, then find the movie and check if there is an actor who played a kid in the same movie.

[Tool]
Top 10 property alternatives:
1. Portrayed in films (fb:film.film_character.portrayed_in_films): links to type Film performance, part of Film character schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Type (fb:type.object.type): part of Object schema, links to type Type
4. Notable for (fb:common.topic.notable_for): links to type notable_for, part of Topic schema

No other items found

[Assistant] There is no direct property linking the character "Jenny's Father" (fb:m.0y54dn_) to an actor. I will try to find the actors who played in the movie fb:m.0y54dnx by searching for performances with this movie as the film.

[Tool] Got no rows and 3 columns

[Assistant] There are no performances linked to the movie fb:m.0y54dnx. I will try to find the actors who played in the movie by searching for the property "starring" or similar for the movie.

[Tool] Got no rows and 3 columns

[Assistant] The direct properties for starring or performances are not available for the movie fb:m.0y54dnx. I will try to find the characters in the movie fb:m.0y54dnx to see if any of them are kids and then find the actors who played those characters.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                                       | object       |
| ----------------------------- | -------------------------------------------------------------- | ------------ |
| Jenny's Father (fb:m.0y54dn_) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0y54dnx |

[Assistant]
The only character linked to the movie fb:m.0y54dnx is Jenny's Father (fb:m.0y54dn_). Since there are no other characters linked to this movie, I cannot find an actor who played a kid in this movie.

I will now try to find the actors who played a kid in the movie with the character "Jenny's Dad" (fb:m.0k01n1q) from the movie fb:m.0k01n1m.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                                                       | object       |
| -------------------------- | -------------------------------------------------------------- | ------------ |
| Jenny's Dad (fb:m.0k01n1q) | Portrayed in films (fb:film.film_character.portrayed_in_films) | fb:m.0k01n1m |

[Assistant]
The only character linked to the movie fb:m.0k01n1m is Jenny's Dad (fb:m.0k01n1q). Since there are no other characters linked to this movie, I cannot find an actor who played a kid in this movie either.

Given the lack of data linking characters, movies, and actors for these specific cases, I am unable to find the actor who played a kid in the movie with a character named Jenny's Father.

I will now provide this explanation and my best attempt at a SPARQL query.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?leader ?leaderLabel WHERE {
  ?country fb:location.country.national_anthem ?anthem .
  ?anthem fb:government.national_anthem_of_a_country.anthem fb:m.0gg95zf .
  ?country fb:government.governmental_jurisdiction.governing_officials ?govPosition .
  ?govPosition fb:government.government_position_held.office_holder ?leader .
  FILTER ( ! BOUND( ?govPositionFrom ) || ?govPositionFrom <= NOW () ) FILTER ( ! BOUND( ?govPositionTo ) || ?govPositionTo >= NOW () ) OPTIONAL {
    ?leader rdfs:label ?leaderLabel FILTER ( lang( ?leaderLabel ) = "en" )
  }
  OPTIONAL {
    ?govPosition fb:government.government_position_held.from ?govPositionFrom
  }
  OPTIONAL {
    ?govPosition fb:government.government_position_held.to ?govPositionTo
  }
}
LIMIT 1

The current leader of the country that uses "Libya, Libya, Libya" as its national anthem is Mohamed Abdelaziz.

[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 man is the leader of the country that uses Libya, Libya, Libya as its national anthem?

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

[Tool]
Example 1:
Question:
What form of government is used in the country with national anthem Libya, Libya, Libya?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.national_anthem ?k .
  ?k fb:government.national_anthem_of_a_country.anthem fb:m.0gg95zf .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Libya, Libya, Libya (fb:m.0gg95zf): "Libya, Libya, Libya", also known as "Ya Beladi", or "O my count... with the lyrics themselves being written by Al Bashir Al Arebi., has type National Anthem

Using properties:
Anthem (fb:government.national_anthem_of_a_country.anthem): part of National anthem of a country schema, links to type National Anthem
Form of Government (fb:location.country.form_of_government): links to type Form of Government, part of Country schema
National anthem (fb:location.country.national_anthem): links to type National anthem of a country, part of Country schema

Example 2:
Question:
Who is the leader of the country that has national anthem There is a Lovely Country?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.national_anthem ?k .
  ?k fb:government.national_anthem_of_a_country.anthem fb:m.0n8r4 .
  ?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:
There is a Lovely Country, also known as Der er et yndigt land (fb:m.0n8r4): Der er et yndigt land, commonly translated into English as There...r et yndigt land, which is treated as the civil national anthem., has type National Anthem

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
Anthem (fb:government.national_anthem_of_a_country.anthem): part of National anthem of a country schema, links to type National Anthem
National anthem (fb:location.country.national_anthem): links to type National anthem of a country, part of Country schema

Example 3:
Question:
Who is the leader of the country that have Humat al-hima as its national anthem?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.national_anthem ?k .
  ?k fb:government.national_anthem_of_a_country.anthem fb:m.01nwq8 .
  ?c fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.01zdtb .
  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:
Humat al-Hima (fb:m.01nwq8): Ḥumāt al-Ḥimá is the national anthem of Tunisia. The text was written by Mostafa Saadeq Al-Rafe'ie and Aboul-Qacem Echebbi., has type National Anthem
Acting President, also known as Interim President (fb:m.01zdtb): An Acting President is a person who temporarily fills the role o...substantive president is unavailable or when the post is vacant., has type Government office category

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
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
Anthem (fb:government.national_anthem_of_a_country.anthem): part of National anthem of a country schema, links to type National Anthem
National anthem (fb:location.country.national_anthem): links to type National anthem of a country, part of Country schema

[Assistant]
From the examples, I see that the national anthem "Libya, Libya, Libya" is identified by the entity fb:m.0gg95zf. The pattern to find the leader of the country with a given national anthem involves:
1. Finding the country with that national anthem.
2. Finding the governing officials of that country.
3. Finding the office holder of the government position held.

I will now write a SPARQL query to find the leader (man) of the country that uses "Libya, Libya, Libya" as its national anthem.

[Tool]
Got 10 rows and 2 columns:
| leader                                     | leaderLabel                      |
| ------------------------------------------ | -------------------------------- |
| Ahmed Maiteeq (fb:m.010hm3qt)              | Ahmed Maiteeq (en)               |
| Abdessalam Jalloud (fb:m.026slms)          | Abdessalam Jalloud (en)          |
| Mahmud Sulayman al-Maghribi (fb:m.026slrk) | Mahmud Sulayman al-Maghribi (en) |
| Baghdadi Mahmudi (fb:m.0bvpgc)             | Baghdadi Mahmudi (en)            |
| Muammar Gaddafi (fb:m.0dxvs)               | Muammar Gaddafi (en)             |
| Abdul Hafiz Ghoga (fb:m.0gg5c41)           | Abdul Hafiz Ghoga (en)           |
| Mustafa Abdul Jalil (fb:m.0gg6wgg)         | Mustafa Abdul Jalil (en)         |
| Mahmoud Jibril (fb:m.0gh76k6)              | Mahmoud Jibril (en)              |
| Ali Tarhouni (fb:m.0gjbh05)                | Ali Tarhouni (en)                |
| Mohammed Magariaf (fb:m.0h96pms)           | Mohammed Magariaf (en)           |

[Assistant]
The query returned multiple leaders of the country that uses "Libya, Libya, Libya" as its national anthem. This likely includes past and present leaders. To refine the answer, I should try to find the current leader by considering the government position held with the most recent or ongoing term.

I will refine the query to filter for the current or most recent office holder.

[Tool]
Got 1 row and 2 columns:
| leader                           | leaderLabel            |
| -------------------------------- | ---------------------- |
| Mohamed Abdelaziz (fb:m.0r3w6t0) | Mohamed Abdelaziz (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?partner WHERE {
  {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?region .
    ?region fb:location.imports_and_exports.exported_to ?partner .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?region .
    ?region fb:location.imports_and_exports.imported_from ?partner .
  }
  ?partner fb:government.governmental_jurisdiction.governing_officials ?official .
  ?official fb:government.government_position_held.appointed_by fb:m.0224kz .
}
LIMIT 10

Got 1 row and 1 column:
| partner             |
| ------------------- |
| Algeria (fb:m.0h3y) |

The main trading partner of China that appointed Abdelaziz Bouterflika to a governmental position is Algeria.

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

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

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

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

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

[User] Who is a main trading partners of China that appointed Abdelaziz Bouterflika to a governmental position?

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

[Tool]
Example 1:
Question:
Which country from the location that appointed Abdelaziz Bouteflika to govermental position is one of China's trading partners?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d05w3 ) {
    fb:m.0d05w3 fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.0d05w3 fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.0224kz .
}

Using entities:
Abdelaziz Bouteflika (fb:m.0224kz): Abdelaziz Bouteflika is an Algerian politician who has been the ...d Houari Boumediene as the longest-serving president of Algeria., has type Politician
China, also known as People's Republic of China (fb:m.0d05w3): China, officially the People's Republic of China, is a sovereign...h-largest by total area, depending on the method of measurement., has type Country

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

Example 2:
Question:
What country is a major trading partner of Germany and appointed Abdelaziz Bouteflika to a governmental position?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0345h ) {
    fb:m.0345h fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.0345h fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.0224kz .
}

Using entities:
Abdelaziz Bouteflika (fb:m.0224kz): Abdelaziz Bouteflika is an Algerian politician who has been the ...d Houari Boumediene as the longest-serving president of Algeria., has type Politician
Germany, also known as Deutschland, Federal Republic of Germany, Bundesrepublik Deutschland, BRD (fb:m.0345h): Germany, officially the Federal Republic of Germany, is a federa...9, the Empire was replaced by the parliamentary Weimar Republic., has type Country

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

Example 3:
Question:
What location that appointed Abdelaziz Bouteflika to governmental position and trades with Portugal?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05r4w ) {
    fb:m.05r4w fb:location.statistical_region.places_exported_to ?y .
    ?y fb:location.imports_and_exports.exported_to ?x .
  } UNION {
    fb:m.05r4w fb:location.statistical_region.places_imported_from ?y .
    ?y fb:location.imports_and_exports.imported_from ?x .
  }
  ?x fb:government.governmental_jurisdiction.governing_officials ?c .
  ?c fb:government.government_position_held.appointed_by fb:m.0224kz .
}

Using entities:
Abdelaziz Bouteflika (fb:m.0224kz): Abdelaziz Bouteflika is an Algerian politician who has been the ...d Houari Boumediene as the longest-serving president of Algeria., has type Politician
Portugal, also known as Portuguese Republic (fb:m.05r4w): Portugal, officially the Portuguese Republic, is a country on th...ne of the world's major economic, political and military powers., has type Country

Using properties:
Appointed By (if Position is Appointed) (fb:government.government_position_held.appointed_by): part of Government Position Held schema, links to type Political Appointer
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held
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 similar examples, I see that the entity for Abdelaziz Bouteflika is fb:m.0224kz and the entity for China is fb:m.0d05w3. The properties used in the examples are related to trading partners (places exported to, places imported from) and governmental positions (governing officials, appointed by).

I will now construct a SPARQL query based on these insights to find the main trading partners of China that appointed Abdelaziz Bouteflika to a governmental position.

[Tool]
Got 1 row and 1 column:
| partner             |
| ------------------- |
| Algeria (fb:m.0h3y) |

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?school ?schoolLabel WHERE {
  fb:m.02n9k fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  ?school fb:common.topic.notable_types fb:m.01y2hnl .
  ?school fb:education.university.number_of_undergraduates ?numUndergraduates .
  ?numUndergraduates fb:measurement_unit.dated_integer.number ?number .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( lang( ?schoolLabel ) = "en" )
  }
}
ORDER BY DESC ( xsd:integer ( ?number ) )
LIMIT 1

The school attended by Eleanor Roosevelt that has the largest number of undergraduates is The New School.

[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 school attended by Eleanor Roosevelt has the largest number of undergraduates?

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

[Tool]
Example 1:
Question:
Which university did Barack Obama attend, that has the largest number of undergraduates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02mjmr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02mjmr fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

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.
Barack Obama, also known as President Obama, President Barack Obama, President Barack Hussein Obama II, President Barack H. Obama, Obama (fb:m.02mjmr): Barack Hussein Obama II is the 44th and current President of the...mocratic Party primaries to receive the presidential nomination., Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/; born Augus...ting the 13th District in the Illinois Senate from 1997 to 2004., has type US President

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
Number of undergraduates (fb:education.university.number_of_undergraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
Which university with the largest number of undergraduates did president Eisenhower attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.028rk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.028rk fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

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.
Dwight D. Eisenhower, also known as David Dwight Eisenhower, President Eisenhower, President Dwight D. Eisenhower, Pres. Dwight D. Eisenhower, Ike (fb:m.028rk): Dwight David "Ike" Eisenhower was the 34th President of the Unit... A. Taft, campaigning against "Communism, Korea and corruption"., has type US President

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
Number of undergraduates (fb:education.university.number_of_undergraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
What university attended by F. Scott Fitzgerald has the largest number of undergraduates?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02zjd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02zjd fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

Using entities:
F. Scott Fitzgerald, also known as Fitzgerald, F Scott Fitzgerald, Francis Scott Key Fitzgerald (fb:m.02zjd): Francis Scott Key Fitzgerald was an American author of novels an...at treat themes of youth and promise along with age and despair., has type Author

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Number of undergraduates (fb:education.university.number_of_undergraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
The examples show a pattern to find the school attended by a person with the largest number of undergraduates. The key steps are:
- Identify the person entity.
- Find the education entities linked to the person.
- Find the institutions linked to the education entities.
- Filter institutions by type College/University.
- Retrieve the number of undergraduates for each institution.
- Order by the number of undergraduates in descending order and limit to 1.

Next, I will search for the entity corresponding to Eleanor Roosevelt in Freebase.

[Tool]
Top 10 entity alternatives:
1. Eleanor Roosevelt, also known as Anna Eleanor Roosevelt, Granny, First Lady of the World, First lady Eleanor Roosevelt (fb:m.02n9k): Anna Eleanor Roosevelt was an American politician, diplomat, and...rom polio, and began to give speeches and campaign in his place., has type Politician
2. Eleanor Roosevelt, also known as Sara Delano Roosevelt, Mrs. Roosevelt, Mrs. Eleanor Roosevelt (fb:m.02nw8rg): Fictional representation of the former US First Lady Eleanor Roosevelt., has type Film character
3. Eleanor Roosevelt (fb:m.01v__m6): has type Musical Artist
4. Eleanor Roosevelt (fb:m.06z9hww): Biography of the wife of FDR, her early life, marriage, and rise...of the most influential and respected women of the 20th century., has type TV Episode
5. Eleanor Roosevelt (fb:m.0ddd_0r): Eleanor Roosevelt is one of the 12 sectors of Hato Rey., has type Statistical region
6. Eleanor Roosevelt (fb:m.079hvn2): has type TV Episode
7. Eleanor Roosevelt (fb:m.076lz_1): has type School
8. Eleanor Roosevelt (fb:m.04w9b2_): has type Book
9. Eleanor Roosevelt (fb:m.0f146ys): has type Musical Recording
10. Eleanor Roosevelt. (fb:m.0c8jnkw): has type Book Edition

[Assistant] The most relevant entity for Eleanor Roosevelt is fb:m.02n9k (Anna Eleanor Roosevelt, the American politician and diplomat). Now I will write a SPARQL query to find the school attended by Eleanor Roosevelt (fb:m.02n9k) that has the largest number of undergraduates. I will follow the pattern from the examples.

[Tool]
Got 1 row and 2 columns:
| school                       | schoolLabel         |
| ---------------------------- | ------------------- |
| The New School (fb:m.06thjt) | The New School (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?genre ?genreLabel WHERE {
  fb:m.082db fb:music.artist.genre ?genre .
  OPTIONAL {
    ?genre rdfs:label ?genreLabel .
    FILTER ( lang( ?genreLabel ) = 'en' )
  }
}

Got 5 rows and 2 columns:
| genre                         | genreLabel           |
| ----------------------------- | -------------------- |
| Ballet (fb:m.021dvj)          | Ballet (en)          |
| Opera (fb:m.05lls)            | Opera (en)           |
| Art song (fb:m.06q6jz)        | Art song (en)        |
| Classical music (fb:m.0ggq0m) | Classical music (en) |
| Chamber music (fb:m.0l8gh)    | Chamber music (en)   |

Mozart composed music in the genres of Ballet, Opera, Art song, Classical music, and Chamber music. However, the film 'Everybody Does It' does not have a subject or genre listed in the knowledge graph to confirm if it is about any of these music genres.

[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 class of music did Mozart compose, and is the subject of the film, Everybody Does It?

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

[Tool]
Example 1:
Question:
What did Mozart to, that was featured in the work "The Unconsoled" to become famous?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.082db ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.082db fb:people.person.profession ?x .
  ?x fb:book.book_subject.works fb:m.0c3k9r .
}

Using entities:
Wolfgang Amadeus Mozart, also known as Wolfang A. Mozart, Wolfgan Amadeus Mozart, Wolfgang Amadé, Wolfgang Amadeaus Mozart, Wolfgang Amadè Mozart (fb:m.082db): Wolfgang Amadeus Mozart, baptised as Johannes Chrysostomus Wolfg... of symphonic, concertante, chamber, operatic, and choral music., has type Composer
The Unconsoled, also known as Die Ungetrosteten, Inconsolé, L'Inconsolé, Los Inconsolables (fb:m.0c3k9r): The Unconsoled is a novel by Kazuo Ishiguro, first published in ...y Faber and Faber, and winner of the Cheltenham Prize that year., has type Book

Using properties:
Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
Profession (fb:people.person.profession): links to type Profession, part of Person schema

Example 2:
Question:
What kind of music did the subject of the movie "Lisztomnia" compose?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:film.film_subject.films fb:m.0c4ymr .
  ?c fb:music.artist.genre ?x .
}

Using entities:
Lisztomania (fb:m.0c4ymr): Lisztomania is a 1975 film by Ken Russell, drawn from a biograph... film, Ringo Starr, drummer of The Beatles, appears as the Pope., has type Film

Using properties:
Films On This Subject (fb:film.film_subject.films): part of Film subject schema, links to type Film
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

Example 3:
Question:
What genre of music appearing in the movie Shadow of the Stars was composed by Franz Liszt?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0hqgp ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0hqgp fb:music.artist.genre ?x .
  ?x fb:film.film_genre.films_in_this_genre fb:m.026t80_ .
}

Using entities:
In the Shadow of the Stars (fb:m.026t80_): In the Shadow of the Stars is a 1991 documentary film about the ... Academy Award for Best Documentary Feature for Light and Saraf., has type Award-Winning Work
Life of Franz Liszt, also known as Franz Liszt, Liszt Ferenc, Franz Ritter von Liszt, Frans Liszt, Ferenz Liszt (fb:m.0hqgp): Franz Liszt was a 19th-century Hungarian composer, virtuoso pian...iments in musical form and making radical departures in harmony., Franz Liszt was a 19th-century composer, virtuoso pianist and te...l known throughout Europe for his transcendental piano recitals., Franz Liszt is a film score composer., has type Composer

Using properties:
Films of this genre (fb:film.film_genre.films_in_this_genre): part of Film genre schema, links to type Film
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

[Assistant]
From the examples, it seems the approach is to find the entity for Mozart, find the class of music he composed, and then check if that class of music is the subject of the film "Everybody Does It."

Step 1: Find the entity for Mozart.
Step 2: Find the class or genre of music Mozart composed.
Step 3: Find the entity for the film "Everybody Does It."
Step 4: Check if the class or genre of music Mozart composed is the subject of the film "Everybody Does It."

I will start by searching for the entity of Mozart in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Wolfgang Amadeus Mozart, also known as Wolfang A. Mozart, Wolfgan Amadeus Mozart, Wolfgang Amadé, Wolfgang Amadeaus Mozart, Wolfgang Amadè Mozart (fb:m.082db): Wolfgang Amadeus Mozart, baptised as Johannes Chrysostomus Wolfg... of symphonic, concertante, chamber, operatic, and choral music., has type Composer
2. Andrea Pirlo, also known as l'architetto, Mozart (fb:m.05pgj9): Andrea Pirlo, Ufficiale OMRI is an Italian professional football...tained the national team to a bronze medal in the 2004 Olympics., has type Football player
3. Mozart, also known as Kuolema ei heitä erottanut, The Life and Loves of Mozart, Reich mir die Hand, mein Leben (fb:m.05f30wt): Mozart is a 1955 Austrian drama film directed by Karl Hartl. It ... of Mozart during production of his final opera Die Zauberflöte., has type Film
4. Mozart! (fb:m.0cc1pz): Mozart! is an Austrian musical, originally written in German. Th... for 419 performances, showing to approximately 420,000 patrons., has type Play
5. Mozart (fb:m.0353kcv): has type Consumer product
6. Piano Sonatas K. 330, K. 331 "Al...Ah, vous dirai-je, maman" K. 265, also known as Mozart (fb:m.0fznz27): has type Consumer product
7. moZart (fb:m.01s7kqc): has type Musical Group
8. Mozart (fb:m.0sghwyh): Mozart was an express train that linked Paris with Vienna via St...Mozart, and served many cities with which he had an association.
9. Mozart (fb:m.05p3xhx): Mozart is a comédie musicale in three acts with music by Reynald...erformed at the Théâtre Édouard VII in Paris on 2 December 1925., has type Opera
10. Mozart (fb:m.092fgsz): has type Book Edition

[Assistant] The entity for Wolfgang Amadeus Mozart is fb:m.082db. Next, I will search for the class or genre of music Mozart composed. I will look for properties related to music genre or class for this entity.

[Tool]
Top 10 property alternatives:
1. Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre
2. Instruments Played (fb:music.group_member.instruments_played): links to type Musical instrument, part of Musician schema
3. Music catalog (fb:base.catalog.cataloged_composer.music_catalog): part of Cataloged composer schema, links to type Music catalog
4. Active as Musical Artist (start) (fb:music.artist.active_start): part of Musical Artist schema, links to type Date/Time
5. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album
6. Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema
7. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
8. Recordings (fb:music.artist.track): links to type Musical Recording, part of Musical Artist schema
9. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
10. Active as Musical Artist (end) (fb:music.artist.active_end): part of Musical Artist schema, links to type Date/Time

No other items found

[Assistant] The property "Musical Genres" (fb:music.artist.genre) seems to be the most relevant for the class or genre of music Mozart composed. I will query the musical genres associated with Mozart (fb:m.082db).

[Tool]
Got 5 rows and 2 columns:
| genre                         | genreLabel           |
| ----------------------------- | -------------------- |
| Ballet (fb:m.021dvj)          | Ballet (en)          |
| Opera (fb:m.05lls)            | Opera (en)           |
| Art song (fb:m.06q6jz)        | Art song (en)        |
| Classical music (fb:m.0ggq0m) | Classical music (en) |
| Chamber music (fb:m.0l8gh)    | Chamber music (en)   |

[Assistant]
Mozart composed music in the genres of Ballet, Opera, Art song, Classical music, and Chamber music.

Next, I will search for the entity of the film "Everybody Does It" to check if any of these genres are the subject of the film.

[Tool]
Top 10 entity alternatives:
1. Everybody Does It (fb:m.03qp5b1): Everybody Does It is a 1949 comedy film starring Paul Douglas, L...d, Loretta Young as his wife, and Binnie Barnes as Cecil Carver., has type Film
2. Everybody Does It (fb:m.06z89qv): Arlette spots a bargain : inadvertently landing her husband in a heap of trouble with a crime syndicate., has type TV Episode
3. Everybody Does It (fb:m.05dp4gq): Archie's steals a box of nails from work and finds himself at the center of a household debate on morality., has type TV Episode
4. Everybody Does It (fb:m.0ltj9n): has type Musical Recording
5. Everybody Does It (fb:m.0xv6l7): has type Musical Recording
6. Everybody Does It (fb:m.0fgvthw): has type Musical Recording
7. Everybody Does It (fb:m.0kt18pr): has type TV Episode
8. Everybody Does  It (fb:m.0kzlrvt): has type TV Episode
9. "Everybody does it!" (fb:m.0c4cnzb): has type Book
10. Everybody Does It (fb:m.0lv8nyw)

[Assistant] The film "Everybody Does It" is identified as fb:m.03qp5b1. Now, I will check the subjects of this film to see if any of the music genres Mozart composed are the subject of this film.

[Tool] Got no rows and 2 columns

[Assistant] The film "Everybody Does It" does not have any subjects explicitly listed in the knowledge graph. I will try to check if any of the music genres Mozart composed are linked to the film as a genre or subject in a broader sense by checking the film's genres.

[Tool] Got no rows and 2 columns

[Assistant]
The film "Everybody Does It" does not have any genres listed either. Since the film does not have explicit subjects or genres in the knowledge graph, I cannot directly confirm if the class of music Mozart composed is the subject of the film.

I will now provide the answer based on the information found: Mozart composed music in the genres of Ballet, Opera, Art song, Classical music, and Chamber music. However, the film "Everybody Does It" does not have a subject or genre listed in the knowledge graph to confirm if it is about any of these music genres.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?university WHERE {
  fb:m.0ggp1n fb:people.person.education ?education .
  ?education fb:education.education.institution ?university .
  ?university fb:education.university.number_of_postgraduates ?postgraduates .
  ?postgraduates fb:measurement_unit.dated_integer.number "9153" .
}

Got 1 row and 1 column:
| university                      |
| ------------------------------- |
| Temple University (fb:m.01jt2w) |

The university that has 9153 postgraduates and had Kevin Hart as a student is Temple University.

[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 university has 9153 postgraduates and had Kevin Hart as a student?

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

[Tool]
Example 1:
Question:
What university has more than 10293 postgraduates and whose alumni include Jack London?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0bt23 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0bt23 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
  FILTER ( xsd:integer ( ?num ) > 10293 ) .
}

Using entities:
Jack London, also known as London; Jack, John Griffith "Jack" London, John Griffith Chaney London, John Griffith Chaney, J. Griffiths (fb:m.0bt23): John Griffith "Jack" London was an American author, journalist, ...tion exposé The People of the Abyss, and The War of the Classes., has type Author

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
James Franco once attended this university that has 11,179 postgraduates.?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_postgraduates ?c .
  ?c fb:measurement_unit.dated_integer.number "11179" .
}

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.
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

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
Number of postgraduates (fb:education.university.number_of_postgraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
Which university has the largest number of undergraduates and was attended by James Franco?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.05bnp0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.05bnp0 fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
  ?x fb:education.university.number_of_undergraduates ?c .
  ?c fb:measurement_unit.dated_integer.number ?num .
}
ORDER BY DESC ( xsd:integer ( ?num ) )
LIMIT 1

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.
James Franco, also known as Ted, Teddy, James Edward Franco (fb:m.05bnp0): James Edward Franco is an American actor, filmmaker, and teacher...riting at his alma mater, University of California, Los Angeles., has type Celebrity

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
Number of undergraduates (fb:education.university.number_of_undergraduates): part of College/University schema, links to type Dated Integer
number (fb:measurement_unit.dated_integer.number): part of Dated Integer schema, links to type Integer
Education (fb:people.person.education): links to type Education, part of Person schema

[Assistant]
From the examples, I see that the property for the number of postgraduates in a university is fb:education.university.number_of_postgraduates and the number is stored in fb:measurement_unit.dated_integer.number. Also, the education relation for a person is fb:people.person.education and the institution is linked by fb:education.education.institution.

I will now search for the entity "Kevin Hart" in the knowledge graph to get his identifier. Then I will query the universities he attended and check which one has 9153 postgraduates.

[Tool]
Top 10 entity alternatives:
1. Kevin Hart, also known as Kevin D. Hart (fb:m.0ggp1n): Kevin Darnell Hart is an American actor, comedian, writer, and p...stars as himself in the lead role of Real Husbands of Hollywood., has type Celebrity
2. Kevin Hart (fb:m.07zm3r): Kevin John Hart is an Anglo-Australian theologian, philosopher a...topher Brennan Award and the Grace Leven Prize for Poetry twice., has type Author
3. Kevin Hart (fb:m.02z6jkw): Not to be confused with comedian Kevin Hart Kevin Richard Hart i...jor League Baseball for the Chicago Cubs and Pittsburgh Pirates., has type Baseball Player
4. Kevin Hart, also known as Kevin Christopher Hart (fb:m.0zdsw5n): Kevin Hart is an American Football offensive lineman for the Coastal Carolina Chanticleers., has type Athlete
5. Kevin Hart (fb:m.0h98915): Kevin Francis Hart is a former Australian rules footballer who p...hen captain-coached Heidelberg to premierships in 1956 and 1957., has type Athlete
6. Kevin Hart (fb:m.0zgljnd): Kevin Hart is an American Football wide receiver for the William & Mary Tribe., has type Athlete
7. Kevin Hart (fb:m.079d26f): Comedy Central presents a new half-hour of stand-up from Kevin Hart., has type TV Episode
8. Kevin Hart (fb:m.0_f_1xp): Kevin Hart is the co-founder and the President of HB Agency., has type Organization leader
9. Kevin Hart (fb:m.011k48t5): It's the biggest night in 'Wild 'N Out' history as Kevin Hart re... see who will get the last laugh in the season finale smackdown., has type TV Episode
10. Kevin Hart (fb:m.011k48tm): Wild 'N Out's back, and what better way to kick things off than ...ionship belt. Plus, we get a winning performance from DJ Khaled., has type TV Episode

[Assistant]
The Kevin Hart we are interested in is the American actor and comedian with the entity fb:m.0ggp1n.

I will now write a SPARQL query to find the universities attended by Kevin Hart (fb:m.0ggp1n) and filter those universities that have 9153 postgraduates.

[Tool]
Got 1 row and 1 column:
| university                      |
| ------------------------------- |
| Temple University (fb:m.01jt2w) |

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?year WHERE {
  ?org fb:organization.organization.leadership ?leadership .
  ?leadership fb:organization.leadership.person fb:m.0fpx_7 .
  ?org fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.end_date ?endDate .
  BIND( YEAR( xsd:dateTime ( ?endDate ) ) AS ?year )
}
ORDER BY ?year

The years in which organizations led by Stan Kasten won the World Series are 1959, 1963, 1965, 1981, and 1988.

[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 what years did Stan Kasten's organization win the World Series?

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

[Tool]
Example 1:
Question:
When was the most recent time did the team with Stan Kasten as its leader win the championship?

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.0fpx_7 .
  ?c fb:sports.sports_team.championships ?x .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Stan Kasten (fb:m.0fpx_7): Stan Kasten is the former President of the Atlanta Braves and Wa...e current president, and part-owner, of the Los Angeles Dodgers., has type Organization leader

Using properties:
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
Championships (fb:sports.sports_team.championships): links to type Sports League Championship Event, part of Sports Team schema
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

Example 2:
Question:
In what years did the organization who has someone called Larry Baer in leadership win the world series?

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.0hhv_6h .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
Larry Baer (fb:m.0hhv_6h): Laurence M. Baer is the Chief Executive Officer of the San Franc...or League Baseball. He succeeded Bill Neukom on January 1, 2012., has type Organization leader

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

Example 3:
Question:
In what year did team owner Ken Kendrick's sports team with the World Series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.professional_sports_team.owner_s fb:m.0d_khh .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
Ken Kendrick (fb:m.0d_khh): Earl G. "Ken" Kendrick Jr. is a baseball executive with the Nati...Gretzky, considered the most valuable trading card in the world., has type Sports Team Owner

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

[Assistant]
From the examples, it is clear that Stan Kasten is represented by the entity fb:m.0fpx_7 in Freebase. The property fb:organization.organization.leadership links an organization to its leadership, and fb:organization.leadership.person links the leadership to a person. The championships won by a sports team are linked by the property fb:sports.sports_team.championships, which points to sports league championship events. The end date of these events can be found with fb:time.event.end_date.

I will now write a SPARQL query to find the years in which organizations led by Stan Kasten won the World Series. The query will:
- Find organizations where Stan Kasten is in leadership.
- Find the championships won by these organizations.
- Retrieve the end date of these championship events.
- Extract the year from the end date.

Let's execute this query.

[Tool]
Got 5 rows and 1 column:
| year           |
| -------------- |
| 1959 (xsd:int) |
| 1963 (xsd:int) |
| 1965 (xsd:int) |
| 1981 (xsd:int) |
| 1988 (xsd:int) |

[Assistant] The years in which organizations led by Stan Kasten won the World Series are 1959, 1963, 1965, 1981, and 1988. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?formOfGovernment WHERE {
  ?country fb:location.country.currency_formerly_used fb:m.090krt .
  ?country fb:location.country.form_of_government ?formOfGovernment .
}

Got 1 row and 1 column:
| formOfGovernment                   |
| ---------------------------------- |
| Parliamentary system (fb:m.018wl5) |

The type of government in the country where the Old Israeli shekel is the currency is a Parliamentary system.

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

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

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

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

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

[User] What is the type of government in the country where the Old Israeli shekel is the currency?

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

[Tool]
Example 1:
Question:
What government system is in place where the Old Israeli sheckel is accepted 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.090krt .
  ?c fb:location.country.form_of_government ?x .
}

Using entities:
Old Israeli shekel (fb:m.090krt): The old shekel, known at the time as simply shekel was the curre...kel sign was . The Israeli lira was used until 24 February 1980., 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 main language of the country whose currency is the Old Israeli shekel?

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.090krt .
  ?c fb:location.country.official_language ?x .
}

Using entities:
Old Israeli shekel (fb:m.090krt): The old shekel, known at the time as simply shekel was the curre...kel sign was . The Israeli lira was used until 24 February 1980., has type Currency

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

Example 3:
Question:
What is the religion of the people in the country where Old Israeli shekel is the 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.090krt .
  ?c fb:location.statistical_region.religions ?y .
  ?y fb:location.religion_percentage.religion ?x .
}

Using entities:
Old Israeli shekel (fb:m.090krt): The old shekel, known at the time as simply shekel was the curre...kel sign was . The Israeli lira was used until 24 February 1980., has type Currency

Using properties:
Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
Religion (fb:location.religion_percentage.religion): part of Religion percentage schema, links to type Religion
Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

[Assistant]
From the examples, I found that the property "fb:location.country.currency_formerly_used" links a country to the Old Israeli shekel currency, and the property "fb:location.country.form_of_government" links a country to its form of government.

I will now construct a SPARQL query to find the form of government of the country where the Old Israeli shekel is the currency.

[Tool]
Got 1 row and 1 column:
| formOfGovernment                   |
| ---------------------------------- |
| Parliamentary system (fb:m.018wl5) |

[Tool] Stopped generation process