PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?composition ?compositionLabel WHERE {
  fb:m.01vvy fb:music.composer.compositions ?composition .
  OPTIONAL {
    ?composition rdfs:label ?compositionLabel .
    FILTER ( lang( ?compositionLabel ) = "en" )
  }
}

Got 508 rows and 2 columns, showing the first 5 and last 5 rows below:
| composition                                            | compositionLabel                             |
| ------------------------------------------------------ | -------------------------------------------- |
| fb:g.11b821q1dm                                        |                                              |
| Lindaraja (fb:g.120ldwp4)                              | Lindaraja (en)                               |
| fb:g.1234bndn                                          |                                              |
| fb:g.1234nfvz                                          |                                              |
| Le promenoir des deux amants (fb:g.1ym_l6xb0)          | Le promenoir des deux amants (en)            |
| ...                                                    | ...                                          |
| fb:m.0zxwtzf                                           |                                              |
| fb:m.0zxwzf0                                           |                                              |
| Images pour orchestre, L 122: I. Gigues (fb:m.0zxxg9g) | Images pour orchestre, L 122: I. Gigues (en) |
| fb:m.0zxxtm4                                           |                                              |
| fb:m.0zxy7vf                                           |                                              |

Claude Debussy composed many pieces of music including Clair de lune, Prelude to the Afternoon of a Faun, Pelléas et Mélisande, Préludes, Suite bergamasque, Children's Corner, La mer, L'isle joyeuse, and Engulfed Cathedral among others.

[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 pieces of music did claude debussy compose?

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

[Tool]
Example 1:
Question:
what music did antonio vivaldi compose?

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

Using entities:
Antonio Vivaldi, also known as 비발디, Antonio Lucio Vivaldi , Vivaldi, The Red Priest, Prete rosso (fb:m.0pth): Antonio Lucio Vivaldi was an Italian Baroque composer, virtuoso ...val, and Vivaldi himself died less than a year later in poverty., has type Composer

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

Example 2:
Question:
what music did beethoven composed?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.04k15 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.04k15 fb:music.artist.genre ?x .
}

Using entities:
Ludwig van Beethoven, also known as L.W. Beethoven, L.V. Beethoven, L. van Beethoven, Ludwig von Beethoven, Beethoven (fb:m.04k15): Ludwig van Beethoven was a German composer and pianist. A crucia...o compose; many of his most admired works come from this period., has type Composer

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

Example 3:
Question:
what type of music did vivaldi write?

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

Using entities:
Antonio Vivaldi, also known as 비발디, Antonio Lucio Vivaldi , Vivaldi, The Red Priest, Prete rosso (fb:m.0pth): Antonio Lucio Vivaldi was an Italian Baroque composer, virtuoso ...val, and Vivaldi himself died less than a year later in poverty., has type Composer

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

[Assistant]
The examples found are about the musical genres composed by composers like Antonio Vivaldi and Beethoven, but the user question is about the pieces of music composed by Claude Debussy, which is more specific.

Next, I will search for the entity "Claude Debussy" in the freebase knowledge graph to get his identifier. Then I will look for properties related to compositions or works by him.

[Tool]
Top 10 entity alternatives:
1. Claude Debussy, also known as クロード・ドビュッシー, クロード・アシル・ドビュッシー, 드뷔시, Debyssy, Debussy, Claude (1862-1918) (fb:m.01vvy): Claude-Achille Debussy was a French composer. Along with Maurice...ebussy both as a composer and as an active cultural participant., has type Composer
2. Claude Debussy (fb:m.0c9hm3g): has type Book Edition
3. Claude Debussy (fb:m.010x5z5): has type Musical Recording
4. Claude Debussy (fb:m.0ndfjdx): Claude Debussy is a fictional character from the 1988 film Camille Claudel., has type Film character
5. Claude Debussy (fb:m.0c3r4nz): has type Book
6. Claude Debussy (fb:m.0c37836): has type Book
7. Claude Debussy (fb:m.0kln9hh)
8. Claude-Emma Debussy, also known as シュシュ, クロード・エンマ・ドビュッシー, クロード・エンマ, Chou-Chou (fb:m.07jw5zq): Claude-Emma Debussy was the only daughter of Claude Debussy., has type Deceased Person
9. Claude Debussy (I) (fb:m.0fmvxw2): has type Musical Release
10. Reverie (Claude Debussy), also known as Reverie (Turtle Island String Quartet) (fb:m.0103tfz): has type Musical Recording

[Assistant] I found the entity for Claude Debussy as a composer: fb:m.01vvy. Now I will search for properties related to compositions or works for this entity. I will try searching for properties with the keyword "composition" or "work".

[Tool]
Top 10 property alternatives:
1. Composition (fb:base.musiteca.music_teacher.composition): links to type Composition, part of Composer schema
2. Works Composed (fb:music.composer.compositions): links to type Composition, part of Composer schema
3. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema
4. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Type (fb:type.object.type): part of Object schema, links to type Type
7. Lyrics Written (fb:music.lyricist.lyrics_written): links to type Composition, part of Lyricist schema
8. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema
9. Recording contributions (fb:music.artist.track_contributions): links to type Recording contribution, part of Musical Artist schema
10. Disciplines (fb:base.kwebbase.kwtopic.disciplines): part of KWTopic schema, links to type Text

No other items found

[Assistant]
There are two relevant properties for compositions by Claude Debussy:
- fb:base.musiteca.music_teacher.composition (Composition)
- fb:music.composer.compositions (Works Composed)

I will check which of these properties is used with Claude Debussy in the knowledge graph to find his compositions.

[Tool]
Got 508 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                        | object                                                      |
| --------------------------- | ----------------------------------------------- | ----------------------------------------------------------- |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Clair de lune (fb:m.0gbm9gq)                                |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Prelude to the Afternoon of a Faun (fb:m.06y_gm)            |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Prelude No. 8: The Girl with the Flaxen Hair (fb:m.0_jfm84) |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Pelléas et Mélisande (fb:m.01zprb)                          |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Préludes (fb:m.0_k42mz)                                     |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Suite bergamasque (fb:m.042cky)                             |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Children's Corner (fb:m.033nf5)                             |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | La mer (fb:m.06pzhs)                                        |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | L'isle joyeuse (fb:m.03r98g)                                |
| Claude Debussy (fb:m.01vvy) | Works Composed (fb:music.composer.compositions) | Engulfed Cathedral (Debussy) (fb:m.0_jcyrt)                 |
| ...                         | ...                                             | ...                                                         |

[Assistant]
The property fb:music.composer.compositions is used with Claude Debussy (fb:m.01vvy) and returns many compositions such as "Clair de lune," "Prelude to the Afternoon of a Faun," "Pelléas et Mélisande," and others.

I will now write a SPARQL query to retrieve all pieces of music composed by Claude Debussy using this property. I will also include optional labels for better readability.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?year WHERE {
  ?e fb:government.election.winner fb:m.09b6zr ; fb:government.election.office fb:m.060d2 ; fb:government.election.election_year ?year .
}

George W. Bush was elected president in the years 2000 and 2004.

[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 year was george w bush elected?

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

[Tool]
Example 1:
Question:
when was george h.w. bush elected president?

SPARQL:
SELECT DISTINCT ?dt WHERE {
  ?e fb:government.election.winner fb:m.034ls ; fb:government.election.office fb:m.060d2 ; fb:government.election.election_year ?dt .
}

Using entities:
George H. W. Bush, also known as President George H.W. Bush, George H.W. Bush, President George Bush, President Bush, Poppy (fb:m.034ls): George Herbert Walker Bush is an American politician who served ...tered the oil business, becoming a millionaire by the age of 40., has type US President
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title

Using properties:
Date of election (fb:government.election.election_year): part of Election contest schema, links to type Date/Time
Office (fb:government.election.office): links to type Government Office or Title, part of Election contest schema
Winner(s) (fb:government.election.winner): part of Election contest schema, links to type Politician

Example 2:
Question:
when did george w bush take office?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.09b6zr ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.09b6zr fb:government.politician.government_positions_held ?y .
  ?y fb:government.government_position_held.from ?x .
  ?y fb:government.government_position_held.office_position_or_title fb:m.060d2 .
}

Using entities:
President of the United States, also known as Commander in Chief, President of the United States of America (fb:m.060d2): The President of the United States of America is the elected hea...er or both houses of Congress under extraordinary circumstances., has type Government Office or Title
George W. Bush, also known as G.W. Bush, Junior, Pres. George W. Bush, President Bush, President George Bush (fb:m.09b6zr): George Walker Bush is an American politician and businessman who...s president, the September 11, 2001, terrorist attacks occurred., has type US President

Using properties:
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Office, position, or title (fb:government.government_position_held.office_position_or_title): links to type Government Office or Title, part of Government Position Held schema
Government Positions Held (fb:government.politician.government_positions_held): links to type Government Position Held, part of Politician schema

Example 3:
Question:
when was george w bush sworn in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.03bxbl6 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.03bxbl6 fb:time.recurring_event.instances ?x .
  ?x fb:base.inaugurations.inauguration.president fb:m.09b6zr .
}

Using entities:
United States presidential inauguration, also known as Inauguration Day, Presidential Inauguration, Inauguration (fb:m.03bxbl6): The inauguration of the president of the United States is a cere... Reagan, the ceremony has been held at the Capitol's West Front., has type Recurring event
George W. Bush, also known as G.W. Bush, Junior, Pres. George W. Bush, President Bush, President George Bush (fb:m.09b6zr): George Walker Bush is an American politician and businessman who...s president, the September 11, 2001, terrorist attacks occurred., has type US President

Using properties:
President (fb:base.inaugurations.inauguration.president): links to type Inauguration Speaker, part of Inauguration schema
Instances (fb:time.recurring_event.instances): part of Recurring event schema, links to type Event

[Assistant]
From the similar examples, I see that George W. Bush is identified as fb:m.09b6zr in Freebase. The property for the election year in the context of government elections is fb:government.election.election_year, and the winner of the election is linked by fb:government.election.winner. The office for the US President is fb:m.060d2.

I will now write a SPARQL query to find the election year when George W. Bush was elected president using these entities and properties.

[Tool]
Got 2 rows and 1 column:
| year                  |
| --------------------- |
| 2000-11-07 (xsd:date) |
| 2004-11-02 (xsd:date) |

[Assistant] George W. Bush was elected in the years 2000 and 2004. These dates correspond to the two presidential elections he won. I will now provide the final answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?label WHERE {
  fb:m.0k0sb rdfs:label ?label .
  FILTER ( lang( ?label ) = 'en' )
}

Got 1 row and 1 column:
| label                 |
| --------------------- |
| Serbian language (en) |

The Serbian language is called 'Serbian language'.

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

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

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

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

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

[User] what is serbian language called?

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

[Tool]
Example 1:
Question:
what is the language called in russia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06bnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06bnz fb:location.country.official_language ?x .
}

Using entities:
Russia, also known as Russian Federation, Россия (fb:m.06bnz): Russia, also officially known as the Russian Federation, is a co...descendants, the medieval state of Rus arose in the 9th century., has type Country

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

Example 2:
Question:
what is the language called in russia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.06bnz ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.06bnz fb:location.country.languages_spoken ?x .
}

Using entities:
Russia, also known as Russian Federation, Россия (fb:m.06bnz): Russia, also officially known as the Russian Federation, is a co...descendants, the medieval state of Rus arose in the 9th century., has type Country

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

Example 3:
Question:
what is the language called in turkey?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01znc_ ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01znc_ fb:location.country.official_language ?x .
}

Using entities:
Turkey, also known as Republic of Turkey, Turkiye, Türkiye (fb:m.01znc_): Turkey, officially the Republic of Turkey, is a parliamentary re...r the Roman Empire and its transition into the Byzantine Empire., has type Country

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

[Assistant]
The examples suggest that to find what a language is called, we can look for the entity representing the language "Serbian" and then find its label or name. Alternatively, we could look for the country Serbia and find its official language.

Step 1: Search for the entity "Serbian language" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Serbian language, also known as Bosnian, Serbian, Montenegrin (fb:m.0k0sb): Serbian is the standardized variety of the Serbo-Croatian langua...alphabet was designed by Croatian linguist Ljudevit Gaj in 1830., has type Human Language
2. Serbian language (fb:m.0bpm0hg)
3. Romano-Serbian language, also known as Tent Gypsy, Serbian Romany language (fb:m.013rcr): The Romano-Serbian language is a mixed language resulting from l...ies and distinct from the Vlax Romani dialects spoken in Serbia., has type Human Language
4. Serbian Cyrillic language (fb:m.010s9tqk)
5. Serbian language in Croatia (fb:m.012mc3g8): The Serbian language is one of officially recognized minority la...s sre two standardized varieties of the Serbo-Croatian language.
6. Board for Standardization of the Serbian Language (fb:m.03c82v8): The Board for Standardization of the Serbian Language is a lingu...ić University of Kragujevac Srpska književna zadruga in Belgrade, has type Organization
7. Language (fb:m.04g7d): Language is the ability to acquire and use complex systems of co...istling. This is because human language is modality-independent., has type Website Category
8. Language (fb:type.lang)
9. Serbian (fb:m.0l_22p)
10. Language (fb:m.0l8pmj1): "Language" is a song by American electronic music producer and D... Chart. The song features uncredited vocals from Heather Bright., has type Composition

[Assistant]
We found several entities related to "Serbian language." The most relevant one seems to be "Serbian language" with the identifier fb:m.0k0sb, which is described as the standardized variety of the Serbo-Croatian language.

Step 2: Retrieve the label or name of this entity to see what the Serbian language is called.

[Tool]
Got 1 row and 1 column:
| label                 |
| --------------------- |
| Serbian language (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?causeOfDeath ?causeOfDeathLabel WHERE {
  fb:m.053yx fb:people.deceased_person.cause_of_death ?causeOfDeath .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?causeOfDeathLabel .
    FILTER ( lang( ?causeOfDeathLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| causeOfDeath                      | causeOfDeathLabel        |
| --------------------------------- | ------------------------ |
| Respiratory failure (fb:m.019dmc) | Respiratory failure (en) |
| Stroke (fb:m.02y0js)              | Stroke (en)              |
| Pneumonia (fb:m.0dq9p)            | Pneumonia (en)           |

Miles Davis died of respiratory failure, stroke, and pneumonia.

[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 did miles davis died of?

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

[Tool]
Example 1:
Question:
what did sammy davis jr die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bmlb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bmlb fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Sammy Davis, Jr., also known as Will Maston Trio, Will Mastin Trio, Smoky, Sammy Davis, Silent Sammy, the Dancing Midget (fb:m.01bmlb): Samuel George "Sammy" Davis Jr. was an American Jewish entertain...r in Las Vegas, earning him the nickname "Mister Show Business"., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 2:
Question:
what did bob ross die of?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02hv0w ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02hv0w fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Bob Ross, also known as Bust 'em up Bobby, Robert Norman "Bob" Ross, Robert Norman Ross (fb:m.02hv0w): Robert Norman "Bob" Ross was an American painter, art instructor...gram that aired on PBS in the United States, Canada, and Europe., has type Visual Artist

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

Example 3:
Question:
what killed sammy davis jr?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bmlb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bmlb fb:people.deceased_person.cause_of_death ?x .
}

Using entities:
Sammy Davis, Jr., also known as Will Maston Trio, Will Mastin Trio, Smoky, Sammy Davis, Silent Sammy, the Dancing Midget (fb:m.01bmlb): Samuel George "Sammy" Davis Jr. was an American Jewish entertain...r in Las Vegas, earning him the nickname "Mister Show Business"., has type Celebrity

Using properties:
Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death

[Assistant] From the similar examples, it is clear that the property to find the cause of death is fb:people.deceased_person.cause_of_death. Next, I will search for the entity "Miles Davis" in the knowledge graph to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Miles Davis, also known as Prince Of Darkness, Miles Dewey Davis III, Miles Dewey Davis, Miles Davis Quartet, Miles Davies (fb:m.053yx): Miles Dewey Davis III was an American jazz musician, trumpeter, ...ng the masterpiece and reaffirming jazz as a national treasure"., has type Musical Artist
2. Miles Davis (fb:m.0fw_htz): has type Consumer product
3. Miles Davis (fb:m.0__bz46): has type Consumer product
4. Miles Davis (fb:m.023jl31): has type Musical Release
5. Miles Davis (fb:m.0313gmg): has type Musical Release
6. Miles Davis (fb:m.08y2hd1): has type Book Edition
7. Miles Davis, also known as Eight Classic Albums (fb:m.01j5mwq): has type Musical Album
8. Miles Davis (fb:m.0bfdzyw): Miles Davis is the 2005 compilation album by Miles Davis., has type Musical Album
9. Miles Davis, also known as Miles Arliss (fb:m.010p4n01): Miles Davis is an actor., has type Film actor
10. Miles Davis (fb:m.010jk9n): has type Musical Recording

[Assistant] The entity for the jazz musician Miles Davis is fb:m.053yx. Now I will check the property fb:people.deceased_person.cause_of_death for this entity to find out what Miles Davis died of.

[Tool]
Got 3 rows and 1 column:
| causeOfDeath                      |
| --------------------------------- |
| Respiratory failure (fb:m.019dmc) |
| Stroke (fb:m.02y0js)              |
| Pneumonia (fb:m.0dq9p)            |

[Assistant] Miles Davis died of respiratory failure, stroke, and pneumonia. I will now provide the final answer with this information.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?year WHERE {
  fb:m.035gcb fb:sports.pro_athlete.career_start ?year .
}

Albert Pujols' rookie year was 2001.

[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 year was albert pujols rookie year?

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

[Tool]
Example 1:
Question:
what team did albert pujols play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.035gcb ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.035gcb fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
}

Using entities:
Albert Pujols, also known as The Machine, Sir Albert, Phat Albert, MV3, José Alberto Pujols Alcántara (fb:m.035gcb): José Alberto Pujols Alcántara, better known as Albert Pujols, is...r regular season batting average, walk rate, and Isolated Power., has type Baseball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 2:
Question:
when did babe ruth start playing baseball in the mlb?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01bss ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01bss fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.from ?x .
  ?y fb:sports.sports_team_roster.to ?sk0 .
}
ORDER BY xsd:datetime ( ?sk0 )
LIMIT 1

Using entities:
Babe Ruth, also known as Ruth, Babe, Sultan of Swat, "the Babe Ruth", The Bambino, The Behemoth of Bust (fb:m.01bss): George Herman "Babe" Ruth, Jr. was an American baseball player w...ball for the Baltimore Orioles but was soon sold to the Red Sox., has type Baseball Player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
what year was peyton manning's rookie year?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.027jv8 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.027jv8 fb:sports.drafted_athlete.drafted ?y .
  ?y fb:sports.sports_league_draft_pick.draft ?x .
}

Using entities:
Peyton Manning, also known as Peyton Williams Manning (fb:m.027jv8): Peyton Williams Manning is an American football quarterback for ...onships, two AFC championships, and one Super Bowl championship., has type American football player

Using properties:
Drafted (fb:sports.drafted_athlete.drafted): links to type Sports League Draft Pick, part of Drafted athlete schema
Draft (fb:sports.sports_league_draft_pick.draft): part of Sports League Draft Pick schema, links to type Sports League Draft

[Assistant] From the similar examples, it seems that Albert Pujols is represented by the entity fb:m.035gcb in Freebase. To find his rookie year, we might want to look for properties related to his first year playing or draft year. I will start by searching for properties of Albert Pujols related to "rookie" or "first year".

[Tool]
Top 10 property alternatives:
1. Drafted (fb:sports.drafted_athlete.drafted): links to type Sports League Draft Pick, part of Drafted athlete schema
2. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
3. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
4. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
5. Nickname (fb:base.schemastaging.context_name.nickname): part of Context name schema, links to type Text
6. Career Start (fb:sports.pro_athlete.career_start): links to type Date/Time, part of Athlete schema
7. Profession (fb:people.person.profession): links to type Profession, part of Person schema
8. Position(s) (fb:baseball.baseball_player.position_s): links to type Baseball Position, part of Baseball Player schema
9. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
10. Name (fb:type.object.name): part of Object schema, links to type Text

No other items found

[Assistant] There is a property "Career Start" (fb:sports.pro_athlete.career_start) which links to a Date/Time and seems relevant to the rookie year. I will query the value of this property for Albert Pujols.

[Tool]
Got 1 row and 1 column:
| year                     |
| ------------------------ |
| 2001-04 (xsd:gYearMonth) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT DISTINCT ?primeMinister ?primeMinisterLabel WHERE {
  fb:m.0d060g fb:government.governmental_jurisdiction.governing_officials ?position .
  ?position fb:government.government_position_held.office_holder ?primeMinister .
  ?position fb:government.government_position_held.basic_title fb:m.060bp .
  ?position fb:government.government_position_held.from ?from .
  OPTIONAL {
    ?position fb:government.government_position_held.to ?to .
  }
  FILTER ( ?from <= "1993-12-31" ^^ xsd:date && ( ! BOUND( ?to ) || ?to >= "1993-01-01" ^^ xsd:date ) ) OPTIONAL {
    ?primeMinister rdfs:label ?primeMinisterLabel .
    FILTER ( lang( ?primeMinisterLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| primeMinister               | primeMinisterLabel  |
| --------------------------- | ------------------- |
| Kim Campbell (fb:m.0bwz5)   | Kim Campbell (en)   |
| Brian Mulroney (fb:m.0h0zn) | Brian Mulroney (en) |
| Jean Chrétien (fb:m.0k0y0)  | Jean Chrétien (en)  |

The Canadian prime minister in 1993 was retrieved with the query. The query returns the prime minister's identifier and optionally their English label.

[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 was canadian prime minister in 1993?

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

[Tool]
Example 1:
Question:
who was the prime minister of canada in 1998?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:government.governmental_jurisdiction.governing_officials ?y .
  ?y fb:government.government_position_held.office_holder ?x .
  ?y fb:government.government_position_held.basic_title fb:m.060bp .
  FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.from ?sk0
  }
  || EXISTS {
    ?y fb:government.government_position_held.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "1998-12-31" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:government.government_position_held.to ?sk2
  }
  || EXISTS {
    ?y fb:government.government_position_held.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "1998-01-01" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Prime minister, also known as Taoiseach (fb:m.060bp): A prime minister is the most senior minister of cabinet in the e...inisters to ensure the passage of bills through the legislature., has type Government office category
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

Using properties:
Basic title (fb:government.government_position_held.basic_title): links to type Government office category, part of Government Position Held schema
From (fb:government.government_position_held.from): part of Government Position Held schema, links to type Date/Time
Officeholder (fb:government.government_position_held.office_holder): part of Government Position Held schema, links to type Politician
To (fb:government.government_position_held.to): part of Government Position Held schema, links to type Date/Time
Governing officials (fb:government.governmental_jurisdiction.governing_officials): part of Governmental Jurisdiction schema, links to type Government Position Held

Example 2:
Question:
what sort of government does canada have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:location.country.form_of_government ?x .
}

Using entities:
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

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

Example 3:
Question:
what kind government does canada have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0d060g ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0d060g fb:location.country.form_of_government ?x .
}

Using entities:
Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country

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

[Assistant]
From the similar example, I see that the entity for Canada is fb:m.0d060g and the property for prime minister's basic title is fb:m.060bp. The property for governing officials is fb:government.governmental_jurisdiction.governing_officials, and the properties for the time period are fb:government.government_position_held.from and fb:government.government_position_held.to.

I will now construct a SPARQL query to find the Canadian prime minister in 1993 using these entities and properties.

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results. I suspect the issue might be with the date filtering or the property usage. I will revise the query to ensure the date filtering is applied correctly and check the properties again. I will also try to explicitly bind the date variables before filtering.

[Tool] Got no rows and 2 columns

[Assistant] The query still returned no results. It is possible that the "to" date is not always present for the current or last office holder, or the date properties might be optional. I will modify the query to handle optional "to" dates and check if the "from" date is before or equal to the end of 1993 and the "to" date is either not present or after the start of 1993.

[Tool] Got no rows and 2 columns

[Assistant] The query still returns no results. I will try a different approach by searching for the property of the Canadian government position held to confirm the exact property names and usage for the prime minister office and dates. This will help me verify if the properties I used are correct.

[Tool]
Got 16,912 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                            | object                                                                    |
| -------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------- |
| Canada (fb:m.0d060g) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                   |
| Canada (fb:m.0d060g) | Key (fb:type.object.key)                                            | /authority/daylife/topic/00FPae80t84BQ                                    |
| Canada (fb:m.0d060g) | Name (fb:type.object.name)                                          | Canada (da)                                                               |
| Canada (fb:m.0d060g) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%43%46%2F%27>                               |
| Canada (fb:m.0d060g) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255v8qp3                                                            |
| Canada (fb:m.0d060g) | Notable types (fb:common.topic.notable_types)                       | Country (fb:m.01mp)                                                       |
| Canada (fb:m.0d060g) | Description (fb:common.topic.description)                           | Ang Canada ay isang bansa sa Hil...orihinal na di Inuit o di Métis. (fil) |
| Canada (fb:m.0d060g) | Article (fb:common.topic.article)                                   | fb:m.0d060s                                                               |
| Canada (fb:m.0d060g) | Also known as (fb:common.topic.alias)                               | Canada (sl)                                                               |
| Canada (fb:m.0d060g) | Contained by (fb:location.location.containedby)                     | North America (fb:m.059g4)                                                |
| ...                  | ...                                                                 | ...                                                                       |

[Assistant] I found many properties for Canada but not the governing officials property in this snippet. I will now specifically look for properties related to government or officials for Canada to find the correct property for the prime minister position.

[Tool]
Got 34 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                                          | object        |
| -------------------- | --------------------------------------------------------------------------------- | ------------- |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.011ktc2z |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.011qftx1 |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.011rmy9v |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04g8pm8  |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04g9twy  |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04kc_7_  |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04kc_86  |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04kk22c  |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04kk22r  |
| Canada (fb:m.0d060g) | Governing officials (fb:government.governmental_jurisdiction.governing_officials) | fb:m.04kk230  |
| ...                  | ...                                                                               | ...           |

[Assistant] I found several governing officials for Canada. I will now check the details of one of these governing officials to see if it corresponds to the prime minister position and contains the date information. I will look at the properties of one of these officials, for example, fb:m.011ktc2z.

[Tool]
Got 11 rows and 3 columns, showing the first 10 rows below:
| subject       | property                                                                                | object                                                            |
| ------------- | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------- |
| fb:m.011ktc2z | Type (fb:type.object.type)                                                                                | Government Position Held (fb:government.government_position_held) |
| fb:m.011ktc2z | Has no value (fb:freebase.valuenotation.has_no_value)                                                                | Appointed By (if Position is Appointed) (fb:m.02xlh96)            |
| fb:m.011ktc2z | Officeholder (fb:government.government_position_held.office_holder)                                                  | William White (fb:m.0_s3dj9)                                      |
| fb:m.011ktc2z | Governmental body (if position is part of one) (fb:government.government_position_held.governmental_body)            | Legislative Assembly of the Northwest Territories (fb:m.031jlf)   |
| fb:m.011ktc2z | From (fb:government.government_position_held.from)                                                                   | 1883-08-13 (xsd:date)                                             |
| fb:m.011ktc2z | Basic title (fb:government.government_position_held.basic_title)                                                     | Member of the Legislative Assembly (fb:m.0621v9)                  |
| fb:m.011ktc2z | Jurisdiction of office (fb:government.government_position_held.jurisdiction_of_office)                               | Canada (fb:m.0d060g)                                              |
| fb:m.011ktc2z | District represented (if position is district-related) (fb:government.government_position_held.district_represented) | Regina (fb:m.0pmpl)                                               |
| fb:m.011ktc2z | To (fb:government.government_position_held.to)                                                                       | 1885-08-12 (xsd:date)                                             |
| fb:m.011ktc2z | Legislative sessions (fb:government.government_position_held.legislative_sessions)                                   | 1st Council of the Northwest Territories (fb:m.06xrvg)            |
| ...           | ...                                                                                | ...                                                               |

[Assistant] The properties for this governing official include office holder, from, to, basic title, and jurisdiction of office. This matches the pattern we expected. I will now check the entity for the prime minister basic title (fb:m.060bp) to confirm it exists and is correct.

[Tool]
Got 2,639 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                                                            | object                                                                   |
| --------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Prime minister (fb:m.060bp) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                  |
| Prime minister (fb:m.060bp) | Key (fb:type.object.key)                                            | /en/prime_minister                                                       |
| Prime minister (fb:m.060bp) | Name (fb:type.object.name)                                          | Başbakan (tr)                                                            |
| Prime minister (fb:m.060bp) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://ar.wikipedia.org/wiki/%31%26%4A%33_%27%44%48%32%31%27%21>        |
| Prime minister (fb:m.060bp) | Notable for (fb:common.topic.notable_for)                           | fb:g.1257bh6nq                                                           |
| Prime minister (fb:m.060bp) | Notable types (fb:common.topic.notable_types)                       | Government office category (fb:m.0h5vz35)                                |
| Prime minister (fb:m.060bp) | Description (fb:common.topic.description)                           | A miniszterelnök a végrehajtó ha...llami szerv, a kormány vezetője. (hu) |
| Prime minister (fb:m.060bp) | Article (fb:common.topic.article)                                   | fb:m.060bz                                                               |
| Prime minister (fb:m.060bp) | Also known as (fb:common.topic.alias)                               | Chanceler (pt)                                                           |
| Prime minister (fb:m.060bp) | Image (fb:common.topic.image)                                       | Stephen Harper (fb:m.05ts7v9)                                            |
| ...                         | ...                                                                 | ...                                                                      |

[Assistant] The entity fb:m.060bp corresponds to the prime minister basic title. I will now revise the SPARQL query to find the prime minister of Canada in 1993 using the confirmed properties and entities. I will also include optional labels for better readability.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  fb:m.0154j fb:location.country.official_language ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( lang( ?languageLabel ) = "en" )
  }
}
LIMIT 10

Got 3 rows and 2 columns:
| language                       | languageLabel        |
| ------------------------------ | -------------------- |
| Dutch Language (fb:m.02bv9)    | Dutch Language (en)  |
| German Language (fb:m.04306rv) | German Language (en) |
| French (fb:m.064_8sq)          | French (en)          |

The three official languages of Belgium are Dutch, French, and German.

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

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

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

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

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

[User] what are the three official languages of belgium?

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

[Tool]
Example 1:
Question:
what language do they in belgium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0154j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0154j fb:location.country.official_language ?x .
}

Using entities:
Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country

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

Example 2:
Question:
what language do they in belgium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0154j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0154j fb:location.country.languages_spoken ?x .
}

Using entities:
Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country

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

Example 3:
Question:
what language people speak in belgium?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0154j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0154j fb:location.country.official_language ?x .
}

Using entities:
Belgium, also known as België, Belgique, Kingdom of Belgium (fb:m.0154j): Belgium, officially the Kingdom of Belgium, is a sovereign state... Region. A German-speaking Community exists in eastern Wallonia., has type Country

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

[Assistant] From the similar examples, the entity for Belgium is fb:m.0154j and the property for official languages is fb:location.country.official_language. I will now write a SPARQL query to get the three official languages of Belgium using these.

[Tool]
Got 3 rows and 2 columns:
| language                       | languageLabel        |
| ------------------------------ | -------------------- |
| Dutch Language (fb:m.02bv9)    | Dutch Language (en)  |
| German Language (fb:m.04306rv) | German Language (en) |
| French (fb:m.064_8sq)          | French (en)          |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?college ?collegeLabel WHERE {
  fb:m.01_fz1 fb:people.person.education ?education .
  ?education fb:education.education.institution ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel .
    FILTER ( lang( ?collegeLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| college                               | collegeLabel                 |
| ------------------------------------- | ---------------------------- |
| University of Tulsa (fb:m.07w3r)      | University of Tulsa (en)     |
| Will Rogers High School (fb:m.0gymnv) | Will Rogers High School (en) |

S. E. Hinton attended the University of Tulsa and Will Rogers High School.

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

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

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

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

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

[User] what college did se hinton go?

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

[Tool]
Example 1:
Question:
where did c.s. lewis go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.01wd02c ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.01wd02c fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
C. S. Lewis, also known as Jack, N. W. Clerk, LEWIS C.S., Lewis, C.S., Jacksie (fb:m.01wd02c): Clive Staples Lewis was a British novelist, poet, academic, medi...adcasts on the subject of Christianity brought him wide acclaim., has type Author
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.

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

Example 2:
Question:
where did cutler jay go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.097hft ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.097hft fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
}

Using entities:
Jay Cutler, also known as Jay Christopher Cutler (fb:m.097hft): Jay Christopher Cutler is an American football quarterback for t...of the 2006 NFL Draft. He played college football at Vanderbilt., has type American football player

Using properties:
Institution (fb:education.education.institution): links to type Educational Institution, part of Education schema
Education (fb:people.person.education): links to type Education, part of Person schema

Example 3:
Question:
where did president eisenhower go to college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.028rk ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.028rk fb:people.person.education ?y .
  ?y fb:education.education.institution ?x .
  ?x fb:common.topic.notable_types fb:m.01y2hnl .
}

Using entities:
College/University, also known as College, University (fb:m.01y2hnl): The College/University type is used for institutions that offer ...mation, please see the Freebase wiki page on College/University.
Dwight D. Eisenhower, also known as David Dwight Eisenhower, President Eisenhower, President Dwight D. Eisenhower, Pres. Dwight D. Eisenhower, Ike (fb:m.028rk): Dwight David "Ike" Eisenhower was the 34th President of the Unit... A. Taft, campaigning against "Communism, Korea and corruption"., has type US President

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

[Assistant]
From the similar examples, we see that the property fb:people.person.education links a person to their education, and fb:education.education.institution links the education to the institution (college/university). Also, the type for college/university is fb:m.01y2hnl.

Next, I will search for the entity "se hinton" in the Freebase knowledge graph to find the correct entity identifier for her.

[Tool]
Top 10 entity alternatives:
1. Sebastián Hinton, also known as Sebastián Asturias Lopez (fb:m.0gchn0f): Sebastián Hinton is an actor., has type Film actor
2. Sean Hinton (fb:m.011cj_bw): Sean Hinton is an actor and producer., has type Film actor
3. Sebastian Hinton (fb:m.0b_pzww): has type Deceased Person
4. Seth Hinton (fb:m.0zfv39k): Seth Hinton is an American Football placekicker for the VMI Keydets., has type Athlete
5. Hinton, also known as Hinton, West Virginia, Summers County / Hinton city (fb:m.010ywb): Hinton is a city in Summers County, West Virginia, United States...center. Part of Paramount's 1994 film Lassie was shot in Hinton., has type City/Town/Village
6. Hinton, also known as Plymouth County / Hinton city, Hinton, Iowa (fb:m.0t26y): Hinton is a city in Plymouth County, Iowa, United States. The population was 928 at the 2010 census., has type City/Town/Village
7. Hinton, also known as Caddo County / Hinton town, Hinton, Oklahoma (fb:m.0z4hw): Hinton is a town in Caddo County, Oklahoma, United States. The p...2000 census. It is approximately 50 miles west of Oklahoma City., has type City/Town/Village
8. Hinton, also known as Hinton, Canada, Hinton, Alberta (fb:m.0270v5): Hinton is a town in west-central Alberta, Canada. It is located ...f Yellowhead and Bighorn Highway, in the Athabasca River valley., has type City/Town/Village
9. Hinton, also known as Hinton, Gloucestershire (fb:m.08qh3x): Hinton is a village in South Gloucestershire, England. It is one...he civil parish of Dyrham and Hinton. The Bull is the local pub., has type City/Town/Village
10. Hinton, Virginia, also known as Hinton, Hinton, Virginia (fb:m.04c1c9g): Hinton is an unincorporated community located in Rockingham Coun...nd Route 752 near the edge of George Washington National Forest., has type City/Town/Village

[Assistant] The search for "se hinton" did not return an entity that clearly corresponds to the author S.E. Hinton. I will try searching for "s e hinton" without the dots to see if that yields a better match.

[Tool]
Top 10 entity alternatives:
1. S. E. Hinton, also known as Susan Eloise Hinton, S.E. 'Susie' Hinton (fb:m.01_fz1): Susan Eloise Hinton is an American writer best known for her you...ssociation for her cumulative contribution in writing for teens., has type Author
2. Hinton Elementary School (fb:m.07674vn): has type School
3. Hinton Elementary School (fb:m.0766pgz): has type School
4. An S. E. Hinton Collection (fb:m.05qfdx9): has type Book
5. Hinton Elementary School (fb:m.076pbts): has type School
6. Continuity within S. E. Hinton novels (fb:m.0f6knm): The young adult novels of bestselling author S.E. Hinton -- The ...That Was Then, This Is Now, and the regrets of a misspent youth., has type Book
7. The Novels of S. E. Hinton (fb:m.05q0whk): has type Book Edition
8. Hinton Area Elementary School (fb:m.07630f3): has type School
9. Ebony Silhouette (feat. Milt Hinton), also known as Soul Silhouette (fb:m.0wwj74): has type Musical Recording
10. Edgar Latimer Hinton II, Sr. (fb:m.0vb4p65): Edgar Latimer Hinton II, Sr. was a businessperson and the father of Ed Hinton., has type Deceased Person

[Assistant] I found the entity for S. E. Hinton: fb:m.01_fz1. Now I will search for the education property of this entity to find the college she attended.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Description (fb:common.topic.description): part of Topic schema, links to type Text
6. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
7. Children (fb:people.person.children): part of Person schema, links to type Person
8. Gender (fb:people.person.gender): part of Person schema, links to type Gender
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Key (fb:type.object.key): part of Object schema, links to type Key

No other items found

[Assistant] The property fb:people.person.education is the relevant property for education of S. E. Hinton. I will now query the education institutions linked to S. E. Hinton through this property.

[Tool]
Got 2 rows and 2 columns:
| college                               | collegeLabel                 |
| ------------------------------------- | ---------------------------- |
| University of Tulsa (fb:m.07w3r)      | University of Tulsa (en)     |
| Will Rogers High School (fb:m.0gymnv) | Will Rogers High School (en) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT DISTINCT ?team ?teamName WHERE {
  fb:m.03yx01 fb:sports.pro_athlete.teams ?roster .
  ?roster fb:sports.sports_team_roster.team ?team .
  OPTIONAL {
    ?team rdfs:label ?teamName .
    FILTER ( lang( ?teamName ) = "en" )
  }
}

Got 3 rows and 2 columns:
| team                                  | teamName                     |
| ------------------------------------- | ---------------------------- |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (en)     |
| Tampa Bay Buccaneers (fb:m.07l24)     | Tampa Bay Buccaneers (en)    |
| Florida Gators football (fb:m.0ftf0f) | Florida Gators football (en) |

Steve Spurrier played pro football for the San Francisco 49ers and the Tampa Bay Buccaneers. He also played college football for the Florida Gators.

[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 did steve spurrier play pro football for?

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

[Tool]
Example 1:
Question:
what team did tim tebow play for in college?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.0g7km1 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.0g7km1 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  ?x fb:american_football.football_team.division fb:m.031fsz .
}

Using entities:
Division I (NCAA), also known as Division I-A, NCAA Division I (fb:m.031fsz): Division I is the highest level of intercollegiate athletics san...attendance requirements. Another difference is post season play., has type Basketball Division
Tim Tebow, also known as Timmy Tebow, Timothy Richard Tebow (fb:m.0g7km1): Timothy Richard Tebow is an American football quarterback for th...nship game. The Gators again went 13–1 in 2009, his senior year., has type Organization leader

Using properties:
Division (fb:american_football.football_team.division): links to type American football division, part of American football team schema
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team

Example 2:
Question:
what team does plaxico burress play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.047j_j ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.047j_j fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Plaxico Burress, also known as Plaxico Antonio Burress (fb:m.047j_j): Plaxico Antonio Burress is a former American football wide recei...the New York Jets. He played college football at Michigan State., has type American football player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

Example 3:
Question:
who does sam bradford play for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  FILTER ( ?x != fb:m.02qjht0 ) FILTER ( ! isLiteral( ?x ) || lang( ?x ) = '' || langMatches( lang( ?x ) , 'en' ) ) fb:m.02qjht0 fb:sports.pro_athlete.teams ?y .
  ?y fb:sports.sports_team_roster.team ?x .
  FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk0
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.from ?sk1 .
    FILTER ( xsd:datetime ( ?sk1 ) <= "2015-08-10" ^^ xsd:dateTime )
  }
  ) FILTER ( NOT EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk2
  }
  || EXISTS {
    ?y fb:sports.sports_team_roster.to ?sk3 .
    FILTER ( xsd:datetime ( ?sk3 ) >= "2015-08-10" ^^ xsd:dateTime )
  }
  )
}

Using entities:
Sam Bradford, also known as Samuel Jacob Bradford (fb:m.02qjht0): Samuel Jacob "Sam" Bradford is an American football quarterback ...hich helped earn him the NFL Offensive Rookie of the Year award., has type American football player

Using properties:
Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
From (fb:sports.sports_team_roster.from): part of Sports team roster schema, links to type Date/Time
Team (fb:sports.sports_team_roster.team): part of Sports team roster schema, links to type Sports Team
To (fb:sports.sports_team_roster.to): part of Sports team roster schema, links to type Date/Time

[Assistant]
The examples show that the property fb:sports.pro_athlete.teams links a pro athlete to their sports team rosters, and the team roster has a property fb:sports.sports_team_roster.team which links to the sports team entity.

Next, I will search for the entity "Steve Spurrier" in the freebase knowledge graph to find his identifier.

[Tool]
Top 10 entity alternatives:
1. Steve Spurrier, also known as Stephen Orr Spurrier (fb:m.03yx01): Stephen Orr Spurrier is an American football coach and former pl...ool's first conference championship since 1962 and last to date., has type American football player
2. Steven Spurrier (fb:m.08wp55): Steven Spurrier is a British wine expert and former merchant in ...e, in addition to authoring and co-authoring several wine books., has type Author
3. Steven Spurrier (fb:m.05kd7c): Steven Spurrier was a British artist and painter. Spurrier was b...ondon in 1961. The designer and artist John Benison was his son., has type Visual Artist
4. Steve Spurrier, Jr. (fb:m.0hpcq62): Steve Spurrier, Jr. is the son of Jerri Spurrier and American Football coach Steve Spurrier., has type Person
5. Steven Spurrier (fb:m.075qqbx): This is the fictional character, Steven Spurrier, based on the w...aracter is played by actor Alan Rickman in movie "Bottle Shock"., has type Film character
6. Steve Spurrier 2006-09-02 (fb:m.03qtk2j)
7. Steven Hugh Walthall Spurrier (fb:m.0zfy5p5): Steven Hugh Walthall Spurrier is the father of Christian Spurrier., has type Person
8. Stephen King, also known as The Rock Bottom Remainders, The King of horror, Master of Horror, The King, Steve (fb:m.0jt90f5): Stephen Edwin King is an American author of contemporary horror,... and the Grand Master Award from the Mystery Writers of America., Richard Bachman is a pen name used by horror fiction author Stephen King., has type Author
9. Steve Howe, also known as Stephen James Howe, Yes, Steve, Stephen James "Steve" Howe, Asia (fb:m.02l_7y): Stephen James "Steve" Howe is an English musician and songwriter..., and GTR, as well as having released 19 solo albums as of 2010., has type Musical Artist
10. Steve Angello, also known as Who's Who?, Who's Who, Steven Angello Josefsson Fragogiannis, Steve Josefsson Fragogiannis, Steve Angelo (fb:m.01w5pnq): Steve Angello is a Greek-Swedish disc jockey, record producer an...wedish House Mafia, together with Axwell and Sebastian Ingrosso., has type Musical Artist

[Assistant] I found the entity for Steve Spurrier as an American football player and coach with the identifier fb:m.03yx01. Now I will look for the properties related to teams or professional football for this entity. I will search for properties of Steve Spurrier related to "team" or "football".

[Tool]
Top 10 property alternatives:
1. Teams (fb:sports.pro_athlete.teams): links to type Sports team roster, part of Athlete schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Article (fb:common.topic.article): links to type Document, part of Topic schema
5. Current team head coached (fb:american_football.football_coach.current_team_head_coached): part of American football head coach schema, links to type American football team
6. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Profession (fb:people.person.profession): links to type Profession, part of Person schema
9. Education (fb:people.person.education): links to type Education, part of Person schema
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant]
The property fb:sports.pro_athlete.teams seems to link an athlete to their sports team roster. Since Steve Spurrier is also known as a coach, there is also a property fb:american_football.football_coach.current_team_head_coached for the current team he coaches. But the question is about who he played pro football for, so I will focus on the property fb:sports.pro_athlete.teams.

I will now write a SPARQL query to find the teams Steve Spurrier played pro football for using the property fb:sports.pro_athlete.teams and the team roster's team property fb:sports.sports_team_roster.team.

[Tool]
Got 3 rows and 2 columns:
| team                                  | teamName                     |
| ------------------------------------- | ---------------------------- |
| San Francisco 49ers (fb:m.06rny)      | San Francisco 49ers (en)     |
| Tampa Bay Buccaneers (fb:m.07l24)     | Tampa Bay Buccaneers (en)    |
| Florida Gators football (fb:m.0ftf0f) | Florida Gators football (en) |

[Tool] Stopped generation process