PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?currency ?currencyLabel WHERE {
  fb:m.016wzw fb:location.country.currency_used ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel .
    FILTER ( lang( ?currencyLabel ) = 'en' )
  }
}

The most utilized form of currency in the nation where the Peruvian nuevo sol is used (Peru) is the Peruvian nuevo sol itself.

[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 form is currency is most utilized in the nation where the Peruvian nuevo sol is used?

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

[Tool]
Example 1:
Question:
What is the official name of the currency used by the country that circulates the Peruvian sol?

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.0344xy .
  ?c fb:location.country.currency_used ?x .
}

Using entities:
Peruvian sol, also known as Peruvian sol (Remonetized) (fb:m.0344xy): The sol was the currency of Peru between 1863 and 1985. It had t...ncy code PEH. It was subdivided into 10 dineros or 100 centavos., has type Currency

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

Example 2:
Question:
What language is spoken in the country where the currency is the Peruvian nuevo sol?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_used fb:m.0b423v .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Peruvian nuevo sol, also known as Sol (fb:m.0b423v): The Nuevo Sol is the currency of Peru. It is subdivided into 100...vian inti, which was named after Inti, the Sun God of the Incas., has type Currency

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

Example 3:
Question:
What is the language spoken in the country that uses Peruvian sol as currency?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:location.country.currency_formerly_used fb:m.0344xy .
  ?c fb:location.country.languages_spoken ?x .
}

Using entities:
Peruvian sol, also known as Peruvian sol (Remonetized) (fb:m.0344xy): The sol was the currency of Peru between 1863 and 1985. It had t...ncy code PEH. It was subdivided into 10 dineros or 100 centavos., has type Currency

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

[Assistant]
From the examples, I see that the Peruvian nuevo sol is represented by the entity fb:m.0b423v in Freebase. The property fb:location.country.currency_used links a country to the currency it uses. To find the most utilized form of currency in the nation where the Peruvian nuevo sol is used, I need to:

1. Identify the country that uses the Peruvian nuevo sol (fb:m.0b423v).
2. Find the currency form most utilized in that country.

I will start by finding the country that uses the Peruvian nuevo sol.

[Tool]
Got 1 row and 1 column:
| country            |
| ------------------ |
| Peru (fb:m.016wzw) |

[Assistant] The country that uses the Peruvian nuevo sol (fb:m.0b423v) is Peru (fb:m.016wzw). Now I will look for the property that indicates the most utilized form of currency in a country. I will search for properties related to "currency form" or "currency" for the entity Peru.

[Tool]
Top 10 property alternatives:
1. Currency Used (fb:location.country.currency_used): links to type Currency, part of Country schema
2. Currency Formerly Used (fb:location.country.currency_formerly_used): links to type Currency, part of Country schema
3. Deposit interest rate (fb:location.statistical_region.deposit_interest_rate): part of Statistical region schema, links to type Dated Percentage
4. GDP (nominal) (fb:location.statistical_region.gdp_nominal): part of Statistical region schema, links to type Dated Money Value
5. GNI in PPP dollars (fb:location.statistical_region.gni_in_ppp_dollars): part of Statistical region schema, links to type Dated Money Value
6. Inflation rate (fb:location.statistical_region.cpi_inflation_rate): part of Statistical region schema, links to type Dated Percentage
7. ISO Numeric (fb:location.country.iso_numeric): links to type Enumeration, part of Country schema
8. Adjectival form (fb:base.aareas.schema.administrative_area.adjectival_form): part of Administrative Area schema, links to type Text
9. Adjectival form (fb:location.location.adjectival_form): part of Location schema, links to type Text
10. Adjectival form (fb:freebase.linguistic_hint.adjectival_form): part of Linguistic hint schema, links to type Text

No other items found

[Assistant]
The properties related to currency for the country Peru are "Currency Used" and "Currency Formerly Used." However, there is no direct property indicating the "most utilized form of currency." The question might be referring to the current official currency used in Peru, which is the Peruvian nuevo sol. Since the question asks for the form of currency most utilized in the nation where the Peruvian nuevo sol is used, it is likely referring to the Peruvian nuevo sol itself.

I will confirm the label of the currency used by Peru to provide a clear answer.

[Tool]
Got 1 row and 2 columns:
| currency                         | currencyLabel           |
| -------------------------------- | ----------------------- |
| Peruvian nuevo sol (fb:m.0b423v) | Peruvian nuevo sol (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?influencer ?influencerLabel WHERE {
  fb:m.0bv62 fb:influence.influence_node.influenced_by ?influencer .
  OPTIONAL {
    ?influencer rdfs:label ?influencerLabel FILTER ( lang( ?influencerLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| influencer                | influencerLabel   |
| ------------------------- | ----------------- |
| Walt Whitman (fb:m.085gk) | Walt Whitman (en) |

The author of Not Without Laughter, Langston Hughes, was inspired to write poetry by Walt Whitman.

[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] How did the author who wrote in the Not Without Laughter become inspired to write poetry?

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

[Tool]
Example 1:
Question:
Who influenced the author who wrote "Not Without Laughter (Thrift Edition) to write?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:book.author.book_editions_published fb:m.04v86lt .
  ?c fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Not Without Laughter (Thrift Edition) (fb:m.04v86lt): has type Book Edition

Using properties:
Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node

Example 2:
Question:
Who inspired the poet who wrote Standup Shakespeare to create poetry?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:theater.theatrical_lyricist.play_lyrics_written fb:m.0zvdf6j .
  ?c fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Standup Shakespeare (fb:m.0zvdf6j): Standup Shakespeare is a play written by Kenneth Welsh., has type Play

Using properties:
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
Play Lyrics Written (fb:theater.theatrical_lyricist.play_lyrics_written): part of Theatrical Lyricist schema, links to type Play

Example 3:
Question:
Who influenced the author of "Selected Poetry"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:book.author.book_editions_published fb:m.04vt0p5 .
  ?c fb:influence.influence_node.influenced_by ?x .
}

Using entities:
Selected Poetry (fb:m.04vt0p5): has type Book Edition

Using properties:
Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node

[Assistant]
From the similar examples, it appears that the property fb:influence.influence_node.influenced_by is used to find who or what influenced an author. Also, the book "Not Without Laughter" can be searched to find its author.

Step 1: Search for the entity "Not Without Laughter" to get its identifier.
Step 2: Find the author of "Not Without Laughter."
Step 3: Find what influenced this author, which might include their inspiration to write poetry.

I will start by searching for the entity "Not Without Laughter."

[Tool]
Top 10 entity alternatives:
1. Not Without Laughter (fb:m.0bm3n3): Not Without Laughter is a novel written by Langston Hughes and p... 1930. It is Hughes' first novel, and first major work of prose., has type Book
2. Not without laughter (fb:m.04v86gl): has type Book Edition
3. Not Without Laughter (fb:m.04v86kd): has type Book Edition
4. Not Without Laughter (fb:m.04v86j3): has type Book Edition
5. Not Without Laughter (fb:m.04v86gb): has type Book Edition
6. Not Without Laughter (fb:m.028y12w): has type Book Edition
7. Not without laughter (fb:m.0c6ny2p): has type Book Edition
8. Not without Laughter (fb:m.04v86mc): has type Book Edition
9. Not Without Laughter (Thrift Edition) (fb:m.04v86lt): has type Book Edition
10. Not Without (fb:m.0drk54_): has type Musical Recording

[Assistant] The entity "Not Without Laughter" as a novel is identified as fb:m.0bm3n3. Now, I will find the author of this book.

[Tool] Got no rows and 3 columns

[Assistant] The property fb:book.book.author did not return any results for the book entity fb:m.0bm3n3. I will try to find the author using a different approach by searching for properties related to the book entity "Not Without Laughter."

[Tool]
Top 10 property alternatives:
1. Author (fb:book.written_work.author): part of Written Work schema, links to type Author
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Article (fb:common.topic.article): links to type Document, part of Topic schema
4. Genre (fb:book.book.genre): links to type Literary Genre, part of Book schema
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Editions (fb:book.book.editions): links to type Book Edition, part of Book schema
7. Date of first publication (fb:book.written_work.date_of_first_publication): part of Written Work schema, links to type Date/Time
8. Original language (fb:book.written_work.original_language): links to type Human Language, part of Written Work schema
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Subjects (fb:book.written_work.subjects): links to type Literature Subject, part of Written Work schema

No other items found

[Assistant] The property fb:book.written_work.author seems to be the correct property for the author of the book. I will now query the author of the book "Not Without Laughter" using this property.

[Tool]
Got 1 row and 3 columns:
| subject                            | property                             | object                       |
| ---------------------------------- | ------------------------------------ | ---------------------------- |
| Not Without Laughter (fb:m.0bm3n3) | Author (fb:book.written_work.author) | Langston Hughes (fb:m.0bv62) |

[Assistant] The author of "Not Without Laughter" is Langston Hughes (fb:m.0bv62). Now, I will search for properties related to Langston Hughes that might indicate how he became inspired to write poetry. I will search for properties related to "inspiration" or "influences" for Langston Hughes.

[Tool]
Top 10 property alternatives:
1. Influenced By (fb:influence.influence_node.influenced_by): part of Influence Node schema, links to type Influence Node
2. Influenced (fb:influence.influence_node.influenced): part of Influence Node schema, links to type Influence Node
3. Quotations (fb:people.person.quotations): links to type Quotation, part of Person schema
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Things named after this (fb:symbols.name_source.namesakes): part of Name source schema, links to type Namesake
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album
9. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
10. Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema

No other items found

[Assistant] The property "Influenced By" (fb:influence.influence_node.influenced_by) seems to be the most relevant to find what inspired Langston Hughes to write poetry. I will now query what influenced Langston Hughes.

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                                  | object                    |
| ---------------------------- | --------------------------------------------------------- | ------------------------- |
| Langston Hughes (fb:m.0bv62) | Influenced By (fb:influence.influence_node.influenced_by) | Walt Whitman (fb:m.085gk) |

[Assistant] Langston Hughes was influenced by Walt Whitman. This indicates that Walt Whitman was an inspiration for Langston Hughes to write poetry. I will now formulate the final SPARQL query to return this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  fb:m.08l257 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:film.film.music fb:m.01hw6wq .
}

The movie with music by Trevor Rabin that Kim Richards was in is "Race to Witch Mountain" (fb:m.04f76fm).

[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 movie with music by Trevor Rabin was Kim Richards in?

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

[Tool]
Example 1:
Question:
For what movie, starring Ryan Gosling, did Maribeth Solomon write the music?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03m6_z ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03m6_z fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.music fb:m.012m29kp .
}

Using entities:
Maribeth Solomon, also known as Maribeth Soloman (fb:m.012m29kp): Maribeth Solomon is a Canadian film and television composer and ...eet Legal, E.N.G., Alfred Hitchcock Presents and Schitt's Creek., Maribeth Solomon is a composer, arranger, flautist and wife of Micky Erbe., has type Musical Artist
Ryan Gosling, also known as Trouble, Ryan Thomas Gosling, Ryan Thomas "Baby Goose" Gosling (fb:m.03m6_z): Ryan Thomas Gosling is a Canadian actor, film director, screenwr...rd. Also in 2007, he starred in the courtroom thriller Fracture., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What movie was Kat Dennings in that had music by George S. Clinton?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0b0kzw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0b0kzw fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.music fb:m.01r4hry .
}

Using entities:
George S. Clinton, also known as Geo, George Stanley Clinton Jr., George Clinton (fb:m.01r4hry): George Stanley Clinton is an American composer, songwriter, arra... with the Richard Kirk Award at the 2007 BMI Film and TV Awards., has type Film music contributor
Kat Dennings, also known as Katherine Litwack, Katherine V. Litwack, Katherine Dennings, Dennings, Kat (fb:m.0b0kzw): Katherine Litwack, known professionally as Kat Dennings, is an A... she stars alongside Beth Behrs in the CBS sitcom 2 Broke Girls., Kat Dennings is an American actress., has type Film actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
Which movie featured Chris Farley in it and George S. Clinton on the soundtrack?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.012801 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.012801 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.music fb:m.01r4hry .
}

Using entities:
Chris Farley, also known as Christopher Crosby "Chris" Farley, Christopher Crosby Farley (fb:m.012801): Christopher Crosby "Chris" Farley was an American comedian and a...97, Farley died as a result of a drug overdose at the age of 33., has type Film actor
George S. Clinton, also known as Geo, George Stanley Clinton Jr., George Clinton (fb:m.01r4hry): George Stanley Clinton is an American composer, songwriter, arra... with the Richard Kirk Award at the 2007 BMI Film and TV Awards., has type Film music contributor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Music by (fb:film.film.music): links to type Film music contributor, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, the pattern to find a movie with music by a specific composer and featuring a specific actor is:
- Find the actor entity and the composer entity.
- Use the property fb:film.actor.film to find the film performances of the actor.
- Use the property fb:film.performance.film to get the films from the performances.
- Use the property fb:film.film.music to filter films with music by the composer.

Next, I will search for the entity of Trevor Rabin.

[Tool]
Top 10 entity alternatives:
1. Trevor Rabin, also known as Trevor Charles Rabin (fb:m.01hw6wq): Trevor Charles Rabin is a South African-born musician, songwrite...er. Trevor's songs are represented by Downtown Music Publishing., has type Composer
2. Trevor Rabin (fb:m.0f8hbly): has type Consumer product
3. Trevor Rabin (fb:m.0ch3qqc): Trevor Rabin is the debut studio album by South African musician...ased in 1977. Voiceprint Records re-released Beginnings in 2003., has type Musical Album
4. Trevor Rabin (fb:m.0nr_v9g): has type Musical Release
5. Trevor Rabin (fb:m.078763y)
6. Mark Mancina & Trevor Rabin, also known as Mancina, Mark & Rabin, Trevor, Trevor Rabin and Mark Mancina (fb:m.01qb56n): has type Musical Group
7. Trevor Rabin and Harry Gregson-Williams (fb:m.01nzwvg): has type Musical Group
8. Brighton Sheffield, also known as Brighton Milhouse Sheffield, Schmooe, Trevor (fb:m.0fm9qs): has type TV Character
9. Trevor, also known as Ellen DeGeneres Presents 'Trevor'   (fb:m.0462r7t): Trevor is a 1994 American short film written by James Lecesne, p...e for lesbian, gay, bisexual, transgender and questioning youth., has type Award-Winning Work
10. Trevor Fehrman, also known as Trevor, Trevor Gregory Fehrman (fb:m.088z5f): Trevor Gregory Fehrman is an American actor., has type Film actor

[Assistant] The entity for Trevor Rabin as a composer is fb:m.01hw6wq. Now I will search for the entity of Kim Richards.

[Tool]
Top 10 entity alternatives:
1. Kim Richards, also known as Kimberly Richards, Kim Richards-Brinson, Kimberly "Kim" Richards (fb:m.08l257): Kimberly "Kim" Richards is an American actress. She is a former ... reality-television series The Real Housewives of Beverly Hills., has type TV Personality
2. Kim Richards (fb:m.0k226mc): has type Person
3. Kim Richards (fb:m.0_mwht3): Kim Richards is the mother of American Football player Aschan Richards., has type Person
4. Kim Richardson (fb:m.0v347q4): Kim Richardson is a Canadian singer and actress, who won two Jun...ards of Canada. Her third single, "I Want It", followed in 1987., Kim Richardson is a 1986 Juno Award winning singer for the award Most Promising Female Vocalist of the Year., Kim Richardson is a singer, songwriter and actress., has type Musical Artist
5. Kimberley Richardson, also known as Kimberley Richardson Lindley, Kimberly Richardson, Kim Richardson (fb:m.0bwb0qb): Kimberley Richardson is a set decorator., has type Film crewmember
6. Kim Richardson (fb:m.0v2xl0q): Kim Richardson is an actress., has type Film actor
7. Kimmi Richards (fb:m.0w0kdxp): Kimmi Richards is an actress., has type Film actor
8. Kimberley Richards (fb:m.0v2tcm1): Kimberley Richards is a Juno Award nominated artist., has type Award Nominee
9. Kim Richardson (fb:m.0ggj0gf): has type Film crewmember
10. Joely Richardson, also known as Joely Kim Richardson (fb:m.03f4w4): Joely Kim Richardson is an English actress, known for her role a...d the Hollywood film adaptation The Girl with the Dragon Tattoo., has type Film actor

[Assistant] The entity for Kim Richards as an actress is fb:m.08l257. Now I will construct a SPARQL query to find the movie with music by Trevor Rabin that Kim Richards was in.

[Tool]
Got 1 row and 1 column:
| movie                                 |
| ------------------------------------- |
| Race to Witch Mountain (fb:m.04f76fm) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?movie WHERE {
  fb:m.04f1s6 fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:film.film.production_companies fb:m.011c89gh .
}

The Logan Lerman movie produced by TSG Entertainment is Percy Jackson: Sea of Monsters.

[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 Logan Lerman movie was produced by TSG Entertainment?

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

[Tool]
Example 1:
Question:
What movies produced by TSG Entertainment has Jennifer Lawrence been in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02x0dzw ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02x0dzw fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.production_companies fb:m.011c89gh .
}

Using entities:
TSG Entertainment (fb:m.011c89gh): TSG Entertainment Finance LLC is a film financing entity which p...ugh several axe heads, similar to Odysseus from Homer's Odyssey., has type Production company
Jennifer Lawrence, also known as JLaw, Jennifer Shrader Lawrence, Jen, Actress Jennifer Lawrence. (fb:m.02x0dzw): Jennifer Shrader Lawrence is an American actress. Her first majo... a nomination for the Academy Award for Best Supporting Actress., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which movie did James Frey write, that was produced by Largo Entertainment?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06w054 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06w054 fb:film.writer.film ?x .
  ?x fb:film.film.production_companies fb:m.09qm956 .
}

Using entities:
James Frey, also known as Pittacus Lore, James Christopher Frey (fb:m.06w054): James Christopher Frey is an American writer and the founder and...ated. His 2008 novel Bright Shiny Morning was also a bestseller., has type Author
Largo Entertainment (fb:m.09qm956): has type Production company

Using properties:
Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
Film writing credits (fb:film.writer.film): part of Film writer schema, links to type Film

Example 3:
Question:
What movie was produced by touchstone pictures and featured Matt Bomer as an actor?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03pmk3 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03pmk3 fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.production_companies fb:m.020h2v .
}

Using entities:
Touchstone Pictures, also known as Touchstone Films, Touchstone Games (fb:m.020h2v): Touchstone Pictures is an American film production company and o...e Touchstone Pictures banner over seven years beginning in 2011., has type Production company
Matt Bomer, also known as Matthew Staton Bomer, Matthew S. Bomer (fb:m.03pmk3): Matthew Staton "Matt" Bomer is an American actor. He made his te...ed to the publicist Simon Halls with whom he has three children., has type TV Actor

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Production companies (fb:film.film.production_companies): links to type Production company, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that the property for production companies of a film is fb:film.film.production_companies and the property linking an actor to a film is fb:film.actor.film.

Next, I will search for the entity "Logan Lerman" in the freebase knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Logan Lerman, also known as Logan Wade Lerman, Loggie (fb:m.04f1s6): Logan Wade Lerman is an American actor, known for playing the ti...llflower, and had leading roles in the 2014 films Noah and Fury., has type Celebrity
2. Logan lerman 1164558045 (fb:m.05th08d)
3. Martin Short, Logan Lerman (fb:m.0n3h__g): has type TV Episode
4. Lindsey and Logan Lerman (fb:m.0d31hp6)
5. Lindsey and Logan Lerman (fb:m.0d31fdc)
6. Lucas, Lindsey and Logan Lerman (fb:m.0d31dr3)
7. Lucas, Lindsey and Logan Lerman (fb:m.0d31fyk)
8. Logan, Lindsey and Lucas Lerman (fb:m.0d31gvs)
9. Betty White, Stephen Dubner, Logan Lerman (fb:m.0dksw44): has type TV Episode
10. Emma Stone, Logan Lerman, Sam Smith (fb:m.0121_4ql): has type TV Episode

[Assistant] I found the entity for Logan Lerman: fb:m.04f1s6. Now I will search for the entity "TSG Entertainment" to get its identifier.

[Tool]
Top 10 entity alternatives:
1. TSG Entertainment (fb:m.011c89gh): TSG Entertainment Finance LLC is a film financing entity which p...ugh several axe heads, similar to Odysseus from Homer's Odyssey., has type Production company
2. Entertainment (fb:m.02jjt): Entertainment is a form of activity that holds the attention and...ormances intended for thousands; and even for a global audience., has type TV Genre
3. Entertainment!, also known as Entertainment! / Yellow EP (fb:m.01kjpxp): Entertainment! is the debut album by English post-punk band Gang...k Media listed Entertainment! as eighth best album of the 1970s., has type Musical Album
4. Entertainment! (fb:m.01kjpw4): has type Consumer product
5. Entertainment, also known as It's Entertainment (fb:m.0wxq1k_): Entertainment is a 2014 Bollywood comedy film directed by duo Sa...8 August 2014 to positive reviews. The movie was declared a hit., has type Film
6. Entertainment! (fb:m.0316d48): has type Consumer product
7. ENTERTAINMENT (fb:m.0q77yzb): has type Consumer product
8. Entertainment (fb:m.0shb_8y): has type Musical Recording
9. Entertainment (fb:m.0fhsvt7): has type Consumer product
10. Entertainment (fb:m.038s8b1): has type Consumer product

[Assistant] I found the entity for TSG Entertainment: fb:m.011c89gh. Now I will write a SPARQL query to find movies that Logan Lerman acted in and that were produced by TSG Entertainment.

[Tool]
Got 1 row and 1 column:
| movie                                         |
| --------------------------------------------- |
| Percy Jackson: Sea of Monsters (fb:m.0d31rqr) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?movie ?movieLabel WHERE {
  fb:m.07ldhs fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?movie .
  ?movie fb:film.film.other_crew ?crewGig .
  ?crewGig fb:film.film_crew_gig.crewmember fb:m.012xqq .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( lang( ?movieLabel ) = "en" )
  }
}

The movie that starred Taylor Lautner and had Kira Roessler as a crew member is 'The Twilight Saga: New Moon'.

[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 movie that starred Taylor Lautner was Kira Roessler a crew member on?

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

[Tool]
Example 1:
Question:
What movie was Taylor Lautner in that Kira Roessler was a crew member of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.other_crew ?c .
  ?c fb:film.film_crew_gig.crewmember fb:m.012xqq .
}

Using entities:
Kira Roessler, also known as Kira, Roessler, Kira (fb:m.012xqq): Kira Roessler is an American bass guitarist, singer and Emmy Awa...best known for her membership in the punk rock group Black Flag., has type Composer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
Which movie had Kira Roessler on its crew and Taylor Lautner as an actor?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.other_crew ?c .
  ?c fb:film.film_crew_gig.crewmember fb:m.012xqq .
}

Using entities:
Kira Roessler, also known as Kira, Roessler, Kira (fb:m.012xqq): Kira Roessler is an American bass guitarist, singer and Emmy Awa...best known for her membership in the punk rock group Black Flag., has type Composer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What film starred Taylor Lautner and Kira Roessler?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07ldhs ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07ldhs fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.other_crew ?c .
  ?c fb:film.film_crew_gig.crewmember fb:m.012xqq .
}

Using entities:
Kira Roessler, also known as Kira, Roessler, Kira (fb:m.012xqq): Kira Roessler is an American bass guitarist, singer and Emmy Awa...best known for her membership in the punk rock group Black Flag., has type Composer
Taylor Lautner, also known as Taylor Daniel Lautner (fb:m.07ldhs): Taylor Daniel Lautner is an American actor, model and martial ar..., Lautner was named the highest-paid teenage actor in Hollywood., has type Martial Artist

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Other crew (fb:film.film.other_crew): links to type Film crew gig, part of Film schema
Crewmember (fb:film.film_crew_gig.crewmember): links to type Film crewmember, part of Film crew gig schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the similar examples, it appears that the entities for Taylor Lautner and Kira Roessler are fb:m.07ldhs and fb:m.012xqq respectively. The properties used to link the movie with the actor and crew member are fb:film.actor.film, fb:film.performance.film, fb:film.film.other_crew, and fb:film.film_crew_gig.crewmember.

I will now construct a SPARQL query based on this information to find the movie that starred Taylor Lautner and had Kira Roessler as a crew member.

[Tool]
Got 1 row and 2 columns:
| movie                                      | movieLabel                       |
| ------------------------------------------ | -------------------------------- |
| The Twilight Saga: New Moon (fb:m.05pdh86) | The Twilight Saga: New Moon (en) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?founder ?founderLabel WHERE {
  fb:m.0bwfn fb:organization.organization.founders ?founder .
  ?founder fb:people.deceased_person.place_of_death fb:m.01qcx_ .
  OPTIONAL {
    ?founder rdfs:label ?founderLabel FILTER ( lang( ?founderLabel ) = 'en' )
  }
}

The founder of New York University who died in Astoria is Albert Gallatin.

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

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

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

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

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

[User] Who is the founder of New York University who died in Astoria?

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

[Tool]
Example 1:
Question:
What University launched before 1892 did Chris Cuomo attend?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02pjpd ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02pjpd fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:organization.organization.date_founded ?num .
  FILTER ( ?num < "1892" ^^ xsd:dateTime ) .
}

Using entities:
Andrew Cuomo, also known as Andrew Mark Cuomo, Gov. Andrew Cuomo (fb:m.02pjpd): Andrew Mark Cuomo is an American politician who is the 56th and ...erm as Attorney General of New York in 2006; serving until 2011., has type Politician

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Date founded (fb:organization.organization.date_founded): part of Organization schema, links to type Date/Time
Education (fb:people.person.education): links to type Education, part of Person schema

Example 2:
Question:
In which city is Columbia University located in where honorary degrees were started?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01cf5 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01cf5 fb:location.location.containedby ?x .
  ?x fb:location.location.people_born_here ?c .
  ?c fb:type.object.type fb:education.honorary_degree .
}

Using entities:
Honorary Degree (fb:education.honorary_degree)
Barnard College, also known as Barnard College, main campus (fb:m.01cf5): Barnard College is a private women's liberal arts college in the...ning American women's colleges with an acceptance rate of 19.5%., has type College/University

Using properties:
Contained by (fb:location.location.containedby): part of Location schema, links to type Location
People born here (fb:location.location.people_born_here): part of Location schema, links to type Person
Type (fb:type.object.type): part of Object schema, links to type Type

Example 3:
Question:
Who was the person that passed away in New York City and created the federal reserve board?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02xmb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02xmb fb:organization.organization.founders ?x .
  ?x fb:people.deceased_person.place_of_death fb:m.02_286 .
}

Using entities:
New York City, also known as New York, NY, New York, U.S.A., New Yrok City, NYC, Richmond County / New York city (fb:m.02_286): New York – often called New York City or the City of New York to...k is the most densely populated major city in the United States., has type City/Town/Village
Federal Reserve System, also known as Fed, Federal Reserve, The Fed (fb:m.02xmb): The Federal Reserve System is the central banking system of the ...nomy and releases numerous publications, such as the Beige Book., has type Government Agency

Using properties:
Founders (fb:organization.organization.founders): links to type Organization founder, part of Organization schema
Place of death (fb:people.deceased_person.place_of_death): part of Deceased Person schema, links to type Location

[Assistant]
From the examples, I see that the property for founders of an organization is fb:organization.organization.founders and the property for place of death is fb:people.deceased_person.place_of_death.

I will now search for the entity "New York University" in the knowledge graph to get its identifier. Then I will use that identifier to find its founders. After that, I will check which of those founders died in Astoria.

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

[Assistant] The most relevant entity for New York University is fb:m.0bwfn. I will now query for the founders of this entity.

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

[Assistant] The founders of New York University are Albert Gallatin (fb:m.01p369) and Mordecai Manuel Noah (fb:m.05m665). I will now check the place of death for each of these founders to see who died in Astoria.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                                  | object                |
| ----------------------------- | --------------------------------------------------------- | --------------------- |
| Albert Gallatin (fb:m.01p369) | Place of death (fb:people.deceased_person.place_of_death) | Astoria (fb:m.01qcx_) |

[Tool]
Got 1 row and 3 columns:
| subject                            | property                                                  | object                 |
| ---------------------------------- | --------------------------------------------------------- | ---------------------- |
| Mordecai Manuel Noah (fb:m.05m665) | Place of death (fb:people.deceased_person.place_of_death) | New York (fb:m.059rby) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?coach ?coachName WHERE {
  ?team fb:sports.sports_team.fight_song fb:m.06c78r .
  ?team fb:american_football.football_team.historical_coaching_staff ?coachPosition .
  ?coachPosition fb:american_football.football_historical_coach_position.coach ?coach .
  OPTIONAL {
    ?coach rdfs:label ?coachName FILTER ( lang( ?coachName ) = 'en' )
  }
}

Got 15 rows and 2 columns, showing the first 5 and last 5 rows below:
| coach                         | coachName            |
| ----------------------------- | -------------------- |
| Bert Bell (fb:m.01k14)        | Bert Bell (en)       |
| Chuck Noll (fb:m.03993y)      | Chuck Noll (en)      |
| Bill Cowher (fb:m.04d2_x)     | Bill Cowher (en)     |
| Walt Kiesling (fb:m.07j47k)   | Walt Kiesling (en)   |
| John McNally (fb:m.07qzqs)    | John McNally (en)    |
| ...                           | ...                  |
| John Michelosen (fb:m.0gjyt6) | John Michelosen (en) |
| Jim Leonard (fb:m.0gkf0k)     | Jim Leonard (en)     |
| Joe Bach (fb:m.0gkgsl)        | Joe Bach (en)        |
| Luby DiMeolo (fb:m.0gkh6r)    | Luby DiMeolo (en)    |
| Forrest Douds (fb:m.0gkhg7)   | Forrest Douds (en)   |

The sports team whose fight song is "Renegade" has had several head coaches, including Bert Bell, Chuck Noll, Bill Cowher, Walt Kiesling, John McNally, Buddy Parker, Bill Austin, Mike Nixon, Jock Sutherland, and Aldo Donelli.

[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 head coach of the sports team whose fight song is "Renegade"?

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

[Tool]
Example 1:
Question:
Who was the 2005 head coach for the team that uses "Renegade" as a fight song?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.fight_song fb:m.06c78r .
  ?c fb:american_football.football_team.historical_coaching_staff ?y .
  ?y fb:american_football.football_historical_coach_position.coach ?x .
  FILTER ( NOT EXISTS {
    ?y fb:american_football.football_historical_coach_position.from ?sk0
  }
  || EXISTS {
    ?y fb:american_football.football_historical_coach_position.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2005-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:american_football.football_historical_coach_position.to ?sk2
  }
  || EXISTS {
    ?y fb:american_football.football_historical_coach_position.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2005-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Renegade, also known as Renegade (St.Louis 2000) (fb:m.06c78r): "Renegade" is a 1979 hit song recorded by the American rock band...ad on his "Half-Penny, Two-Penny" on the Paradise Theatre album., has type Composition

Using properties:
Coach (fb:american_football.football_historical_coach_position.coach): part of American football historical coach position schema, links to type American football head coach
From (fb:american_football.football_historical_coach_position.from): part of American football historical coach position schema, links to type Date/Time
To (fb:american_football.football_historical_coach_position.to): part of American football historical coach position schema, links to type Date/Time
Historical coaching staff (fb:american_football.football_team.historical_coaching_staff): links to type American football historical coach position, part of American football team schema
Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song

Example 2:
Question:
What is the home stadium of the sports team whose fight song is "Renegade"?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.fight_song fb:m.06c78r .
  ?c fb:sports.sports_team.venue ?y .
  ?y fb:sports.team_venue_relationship.venue ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.team_venue_relationship.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.team_venue_relationship.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.team_venue_relationship.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.team_venue_relationship.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Renegade, also known as Renegade (St.Louis 2000) (fb:m.06c78r): "Renegade" is a 1979 hit song recorded by the American rock band...ad on his "Half-Penny, Two-Penny" on the Paradise Theatre album., has type Composition

Using properties:
Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song
Venue (fb:sports.sports_team.venue): links to type Team/venue relationship, part of Sports Team schema
From (fb:sports.team_venue_relationship.from): part of Team/venue relationship schema, links to type Date/Time
To (fb:sports.team_venue_relationship.to): part of Team/venue relationship schema, links to type Date/Time
Venue (fb:sports.team_venue_relationship.venue): part of Team/venue relationship schema, links to type Sports Facility

Example 3:
Question:
What are the team colors of the team with fight song Renegade?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:sports.sports_team.fight_song fb:m.06c78r .
  ?c fb:sports.sports_team.colors ?x .
}

Using entities:
Renegade, also known as Renegade (St.Louis 2000) (fb:m.06c78r): "Renegade" is a 1979 hit song recorded by the American rock band...ad on his "Half-Penny, Two-Penny" on the Paradise Theatre album., has type Composition

Using properties:
Colors (fb:sports.sports_team.colors): part of Sports Team schema, links to type Color
Fight song (fb:sports.sports_team.fight_song): part of Sports Team schema, links to type Fight song

[Assistant]
From the examples, it is clear that the fight song "Renegade" is identified by the entity fb:m.06c78r in Freebase. The property for fight song of a sports team is fb:sports.sports_team.fight_song. The head coach can be found through the historical coaching staff property fb:american_football.football_team.historical_coaching_staff and the coach property fb:american_football.football_historical_coach_position.coach.

I will now write a SPARQL query to find the head coach of the sports team whose fight song is "Renegade".

[Tool]
Got 10 rows and 2 columns:
| coach                         | coachName            |
| ----------------------------- | -------------------- |
| Bert Bell (fb:m.01k14)        | Bert Bell (en)       |
| Chuck Noll (fb:m.03993y)      | Chuck Noll (en)      |
| Bill Cowher (fb:m.04d2_x)     | Bill Cowher (en)     |
| Walt Kiesling (fb:m.07j47k)   | Walt Kiesling (en)   |
| John McNally (fb:m.07qzqs)    | John McNally (en)    |
| Buddy Parker (fb:m.088b_s)    | Buddy Parker (en)    |
| Bill Austin (fb:m.088bs0)     | Bill Austin (en)     |
| Mike Nixon (fb:m.088bvh)      | Mike Nixon (en)      |
| Jock Sutherland (fb:m.0b2hxb) | Jock Sutherland (en) |
| Aldo Donelli (fb:m.0gj_bp)    | Aldo Donelli (en)    |

[Assistant]
The query returned multiple head coaches of the sports team whose fight song is "Renegade." This indicates that the team has had several head coaches over time. The user did not specify a time frame, so I will provide the names of all the head coaches associated with this team.

I will now provide the final answer with the names of the head coaches.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?occupation WHERE {
  ?artist fb:music.artist.concert_tours fb:m.0wf_vth .
  ?artist fb:people.person.profession ?occupation .
}

Got 3 rows and 1 column:
| occupation              |
| ----------------------- |
| Actor (fb:m.02hrh1q)    |
| Singer (fb:m.09l65)     |
| Songwriter (fb:m.0nbcg) |

The occupations of the artist that went on the To Be Loved Tour are Actor, Singer, and Songwriter.

[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 occupation of the artist that went on To Be Loved Tour?

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

[Tool]
Example 1:
Question:
What style of music did the artist that went to Cry of Love Tour play?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.artist.concert_tours fb:m.04gkgs_ .
  ?c fb:music.artist.genre ?x .
}

Using entities:
The Cry of Love Tour (fb:m.04gkgs_): The Cry of Love Tour was a concert tour by American rock singer-...and Billy Cox was often billed as "The Jimi Hendrix Experience"., has type Concert tour

Using properties:
Concert Tours (fb:music.artist.concert_tours): part of Musical Artist schema, links to type Concert tour
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

Example 2:
Question:
What did the lead artist that went on the Believe Tour do?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.artist.concert_tours fb:m.0j_3p6t .
  ?c fb:music.artist.track_contributions ?y .
  ?y fb:music.track_contribution.role ?x .
}

Using entities:
Believe Tour (fb:m.0j_3p6t): The Believe Tour was the second concert tour by Canadian singer ... Worldwide Tours—Mid Year"; earning $69.9 million from 67 shows., has type Concert tour

Using properties:
Concert Tours (fb:music.artist.concert_tours): part of Musical Artist schema, links to type Concert tour
Recording contributions (fb:music.artist.track_contributions): links to type Recording contribution, part of Musical Artist schema
Role (fb:music.track_contribution.role): links to type Musical Performance Role, part of Recording contribution schema

Example 3:
Question:
What genre of music is performed by the artist who headliens the Cry of Love tour?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != ?c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) ?c fb:music.artist.concert_tours fb:m.04gkgs_ .
  ?c fb:music.artist.genre ?x .
}

Using entities:
The Cry of Love Tour (fb:m.04gkgs_): The Cry of Love Tour was a concert tour by American rock singer-...and Billy Cox was often billed as "The Jimi Hendrix Experience"., has type Concert tour

Using properties:
Concert Tours (fb:music.artist.concert_tours): part of Musical Artist schema, links to type Concert tour
Musical Genres (fb:music.artist.genre): part of Musical Artist schema, links to type Musical genre

[Assistant]
From the examples, the property fb:music.artist.concert_tours links an artist to a concert tour. We want to find the artist who went on the "To Be Loved Tour" and then find their occupation.

Next, I will search for the entity "To Be Loved Tour" in the knowledge graph to get its identifier.

[Tool]
Top 10 entity alternatives:
1. To Be Loved Tour (fb:m.0wf_vth): To Be Loved Tour is the fifth concert tour by Canadian singer Mi...with a series of 10 concerts at The O₂ Arena in London, England.
2. To Be Loved (fb:m.0r8m85s): To Be Loved is the eighth studio album by Canadian vocalist and .... The album features four original songs and ten cover versions., has type Musical Album
3. ...To Be Loved (fb:m.0flx8t): "...To Be Loved" is the first single from Californian alternativ...Raw on the USA Network from October 9, 2006 to November 9, 2009., has type Composition
4. To Be Loved (fb:m.0dqghsr): has type Musical Recording
5. …To Be Loved, also known as ... To Be Loved (fb:m.01d_j87): has type Musical Recording
6. To Be Loved (fb:m.0v1ffqm): has type Composition
7. To Be Loved (fb:m.0tqcd7x): has type Consumer product
8. To Be Loved (fb:m.0fz7hp3): has type Consumer product
9. To Be Loved (fb:m.0v1f17w): has type Consumer product
10. To Be Loved, also known as To Be Loved [Previously Unreleased] (fb:m.0j7fs57): has type Musical Recording

[Assistant] I found the entity "To Be Loved Tour" with the identifier fb:m.0wf_vth. Now I will search for the property that links an artist to their occupation.

[Tool]
Top 10 property alternatives:
1. Occupation (fb:fictional_universe.fictional_character.occupation): part of Fictional Character schema, links to type Character Occupation
2. Profession (fb:user.osprey.default_domain.occupation.profession): part of Occupation schema, links to type Profession
3. Profession (fb:user.thadguidry.default_domain.hand_tool.profession): part of Hand Tool schema, links to type Profession
4. profession (fb:base.sportbase.club_owner.profession): part of Sport Club Owner schema, links to type Text
5. Profession (fb:people.person.profession): links to type Profession, part of Person schema
6. Professions (fb:user.narphorium.default_domain.job_title.professions): links to type Profession, part of Job Title schema
7. Professions (fb:base.warofdragons.player.professions): links to type Profession Ranking, part of Player schema
8. Area of profession (fb:base.morstministryofresearchscienceandtechnology.morst_author.area_of_profession): part of MoRST Author schema, links to type Text
9. Job (fb:user.tpshek.default_domain.employee.job): part of Employee schema, links to type Job
10. Employed by (fb:base.represent.agent.employed_by): links to type Agent-agency relationship, part of Agent schema

[Assistant] The most relevant property for occupation of a person is fb:people.person.profession. Now I will write a SPARQL query to find the artist who went on the "To Be Loved Tour" and get their occupation using these properties.

[Tool]
Got 3 rows and 1 column:
| occupation              |
| ----------------------- |
| Actor (fb:m.02hrh1q)    |
| Singer (fb:m.09l65)     |
| Songwriter (fb:m.0nbcg) |

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?film ?filmLabel ?releaseDate WHERE {
  fb:m.07pzc fb:film.actor.film ?performance .
  ?performance fb:film.performance.film ?film .
  ?film fb:film.film.initial_release_date ?releaseDate .
  OPTIONAL {
    ?film rdfs:label ?filmLabel FILTER ( lang( ?filmLabel ) = 'en' )
  }
}
ORDER BY DESC ( ?releaseDate )
LIMIT 1

The latest film starring Tupac to be released is 'Gang Related', which was released on 1997-10-08.

[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 was the latest film starring Tupac to be released?

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

[Tool]
Example 1:
Question:
What was the latest released film that Tupac was in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07pzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07pzc fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.initial_release_date ?num .
}
ORDER BY DESC ( ?num )
LIMIT 1

Using entities:
Tupac Shakur, also known as Lesane Parish Crooks, TuPac, Makaveli, Pac, Tupac Amaru Shakur (fb:m.07pzc): Tupac Amaru Shakur, also known by his stage names 2Pac and Makav...e Black Panther Party, whose ideals were reflected in his songs., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Initial release date (fb:film.film.initial_release_date): links to type Date/Time, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 2:
Question:
What thriller movie did Tupac star in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07pzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07pzc fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.genre fb:m.01jfsb .
}

Using entities:
Thriller (fb:m.01jfsb): Thriller is a genre of literature, film, videogame stories and t...cessful examples of thrillers are the films of Alfred Hitchcock., has type TV Genre
Tupac Shakur, also known as Lesane Parish Crooks, TuPac, Makaveli, Pac, Tupac Amaru Shakur (fb:m.07pzc): Tupac Amaru Shakur, also known by his stage names 2Pac and Makav...e Black Panther Party, whose ideals were reflected in his songs., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Genres (fb:film.film.genre): links to type Film genre, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

Example 3:
Question:
What movie starring Tupac that features the song Again?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.07pzc ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.07pzc fb:film.actor.film ?y .
  ?y fb:film.performance.film ?x .
  ?x fb:film.film.featured_song fb:m.05n9pf .
}

Using entities:
Again (fb:m.05n9pf): "Again" is a song by American singer-songwriter Janet Jackson, a...lden Globe and Academy Award nominations for Best Original Song., has type Composition
Tupac Shakur, also known as Lesane Parish Crooks, TuPac, Makaveli, Pac, Tupac Amaru Shakur (fb:m.07pzc): Tupac Amaru Shakur, also known by his stage names 2Pac and Makav...e Black Panther Party, whose ideals were reflected in his songs., has type Celebrity

Using properties:
Film performances (fb:film.actor.film): links to type Film performance, part of Film actor schema
Featured Song (fb:film.film.featured_song): links to type Film featured song, part of Film schema
Film (fb:film.performance.film): part of Film performance schema, links to type Film

[Assistant]
From the examples, I see that Tupac Amaru Shakur is identified as fb:m.07pzc in Freebase. The property fb:film.actor.film links Tupac to film performances, and fb:film.performance.film links the performance to the film. The film's release date is given by fb:film.film.initial_release_date.

I will now write a SPARQL query to find the latest film starring Tupac to be released, ordering by the release date in descending order and limiting the result to 1.

[Tool]
Got 1 row and 3 columns:
| film                       | filmLabel         | releaseDate           |
| -------------------------- | ----------------- | --------------------- |
| Gang Related (fb:m.0cc2r_) | Gang Related (en) | 1997-10-08 (xsd:date) |

[Tool] Stopped generation process


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?year WHERE {
  fb:m.04mjl fb:sports.sports_team.championships ?championship .
  ?championship fb:time.event.end_date ?endDate .
  BIND( year( xsd:dateTime ( ?endDate ) ) AS ?year )
}
ORDER BY ?year

The sports team owned by Frank McCourt is the Los Angeles Dodgers. They won the World Series in the years 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] What years' World Series were won by the sports team whose owner is Frank McCourt?

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

[Tool]
Example 1:
Question:
When did sports team owner Frank McCourt's team last win the Championship?

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.05w2rj .
  ?c fb:sports.sports_team.championships ?x .
  ?x fb:time.event.end_date ?sk0 .
}
ORDER BY DESC ( xsd:datetime ( ?sk0 ) )
LIMIT 1

Using entities:
Frank McCourt (fb:m.05w2rj): Frank H. McCourt is an American businessman, president of the Mc...ool of Public Policy, the ninth school of Georgetown University., 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
End date (fb:time.event.end_date): links to type Date/Time, part of Event schema

Example 2:
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

Example 3:
Question:
What years did the sports team owned by John C. Malone win 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.04sjlv .
  ?c fb:sports.sports_team.championships ?x .
}

Using entities:
John C. Malone, also known as John C Malone, John Malone (fb:m.04sjlv): John C. Malone is a billionaire American business executive, lan...Liberty Media, until succeeded by former Oracle CFO Greg Maffei., has type Organization leader

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 similar examples, I see that the entity for Frank McCourt is fb:m.05w2rj and the property for owner of a sports team is fb:sports.professional_sports_team.owner_s. The property for championships won by a sports team is fb:sports.sports_team.championships. The championships have an end date property fb:time.event.end_date which can be used to get the year.

I will first find the sports team(s) owned by Frank McCourt. Then I will find the championships won by that team(s) and get the years of those championships.

[Tool]
Got 1 row and 1 column:
| team                             |
| -------------------------------- |
| Los Angeles Dodgers (fb:m.04mjl) |

[Assistant] The sports team owned by Frank McCourt is the Los Angeles Dodgers (fb:m.04mjl). Now I will find the championships won by the Los Angeles Dodgers and get the years of those championships.

[Tool]
Got 5 rows and 2 columns:
| championship                    | year           |
| ------------------------------- | -------------- |
| 1959 World Series (fb:m.04tfrv) | 1959 (xsd:int) |
| 1963 World Series (fb:m.04tfp1) | 1963 (xsd:int) |
| 1965 World Series (fb:m.04tfkz) | 1965 (xsd:int) |
| 1981 World Series (fb:m.04j7dq) | 1981 (xsd:int) |
| 1988 World Series (fb:m.04j7ml) | 1988 (xsd:int) |

[Assistant]
The Los Angeles Dodgers, the sports team owned by Frank McCourt, won the World Series in the years 1959, 1963, 1965, 1981, and 1988.

I will now provide the final answer with a SPARQL query that returns these years.

[Tool] Stopped generation process