PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?film ?title WHERE {
  ?film wdt:P179 wd:Q22092344 ; wdt:P31 wd:Q11424 ; rdfs:label ?title .
  FILTER ( LANG( ?title ) = "en" )
}
ORDER BY ?title

Got 9 rows and 2 columns:
| film                                                         | title                                               |
| ------------------------------------------------------------ | --------------------------------------------------- |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | Star Wars: Episode II – Attack of the Clones (en)   |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | Star Wars: Episode III – Revenge of the Sith (en)   |
| Star Wars: Episode I – The Phantom Menace (wd:Q165713)       | Star Wars: Episode I – The Phantom Menace (en)      |
| Star Wars: Episode IV – A New Hope (wd:Q17738)               | Star Wars: Episode IV – A New Hope (en)             |
| Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) | Star Wars: Episode IX – The Rise of Skywalker (en)  |
| Star Wars: Episode VIII – The Last Jedi (wd:Q18486021)       | Star Wars: Episode VIII – The Last Jedi (en)        |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)        | Star Wars: Episode VII – The Force Awakens (en)     |
| Star Wars: Episode VI – Return of the Jedi (wd:Q181803)      | Star Wars: Episode VI – Return of the Jedi (en)     |
| Star Wars: Episode V – The Empire Strikes Back (wd:Q181795)  | Star Wars: Episode V – The Empire Strikes Back (en) |

The Star Wars film series movies are:
- Star Wars: Episode II – Attack of the Clones
- Star Wars: Episode III – Revenge of the Sith
- Star Wars: Episode I – The Phantom Menace
- Star Wars: Episode IV – A New Hope
- Star Wars: Episode IX – The Rise of Skywalker
- Star Wars: Episode VIII – The Last Jedi
- Star Wars: Episode VII – The Force Awakens
- Star Wars: Episode VI – Return of the Jedi
- Star Wars: Episode V – The Empire Strikes Back

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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 titles of the Star Wars series movies?

[Tool]
Top 10 entity alternatives:
1. untitled Star Wars film, also known as untitled Star Wars project (wd:Q63616718): upcoming Star Wars film
2. Star Wars live-action TV series (wd:Q13365728): television series
3. Star Wars: The Black Series, also known as TBS (wd:Q29017943): ongoing Star Wars toy line produced by the Hasbro company
4. Star Wars Fan Film Awards (wd:Q125734488)
5. Lego Star Wars Ultimate Collector Series, also known as LEGO UCS (wd:Q56320655): Line of Lego Star Wars sets for expert builders
6. Star Wars Rebels short films (wd:Q25399455): short film series based on Star Wars Rebels
7. Star Wars: X-Wing - Collector Series (wd:Q29649749): video game compilation
8. Vader Immortal: A Star Wars VR Series, also known as Vader Immortal (wd:Q63228502): 2019 video game
9. The Official Star Wars Fan Film Awards (wd:Q7754755): annual contest
10. Marketing blitz begins for final 'Star Wars' film (wd:Q17656275): Wikinews article

[Tool]
Top 10 entity alternatives:
1. untitled Star Wars film, also known as untitled Star Wars project (wd:Q63616718): upcoming Star Wars film
2. Star Wars live-action TV series (wd:Q13365728): television series
3. Star Wars: The Black Series, also known as TBS (wd:Q29017943): ongoing Star Wars toy line produced by the Hasbro company
4. Star Wars Fan Film Awards (wd:Q125734488)
5. Lego Star Wars Ultimate Collector Series, also known as LEGO UCS (wd:Q56320655): Line of Lego Star Wars sets for expert builders
6. Star Wars Rebels short films (wd:Q25399455): short film series based on Star Wars Rebels
7. Star Wars: X-Wing - Collector Series (wd:Q29649749): video game compilation
8. Vader Immortal: A Star Wars VR Series, also known as Vader Immortal (wd:Q63228502): 2019 video game
9. The Official Star Wars Fan Film Awards (wd:Q7754755): annual contest
10. Marketing blitz begins for final 'Star Wars' film (wd:Q17656275): Wikinews article

[Tool]
Top 10 entity alternatives:
1. untitled Star Wars film, also known as untitled Star Wars project (wd:Q63616718): upcoming Star Wars film
2. Star Wars live-action TV series (wd:Q13365728): television series
3. Star Wars: The Black Series, also known as TBS (wd:Q29017943): ongoing Star Wars toy line produced by the Hasbro company
4. Star Wars Fan Film Awards (wd:Q125734488)
5. Lego Star Wars Ultimate Collector Series, also known as LEGO UCS (wd:Q56320655): Line of Lego Star Wars sets for expert builders
6. Star Wars Rebels short films (wd:Q25399455): short film series based on Star Wars Rebels
7. Star Wars: X-Wing - Collector Series (wd:Q29649749): video game compilation
8. Vader Immortal: A Star Wars VR Series, also known as Vader Immortal (wd:Q63228502): 2019 video game
9. The Official Star Wars Fan Film Awards (wd:Q7754755): annual contest
10. Marketing blitz begins for final 'Star Wars' film (wd:Q17656275): Wikinews article

[Tool]
Top 10 entity alternatives:
1. untitled Star Wars film, also known as untitled Star Wars project (wd:Q63616718): upcoming Star Wars film
2. Star Wars live-action TV series (wd:Q13365728): television series
3. Star Wars: The Black Series, also known as TBS (wd:Q29017943): ongoing Star Wars toy line produced by the Hasbro company
4. Star Wars Fan Film Awards (wd:Q125734488)
5. Lego Star Wars Ultimate Collector Series, also known as LEGO UCS (wd:Q56320655): Line of Lego Star Wars sets for expert builders
6. Star Wars Rebels short films (wd:Q25399455): short film series based on Star Wars Rebels
7. Star Wars: X-Wing - Collector Series (wd:Q29649749): video game compilation
8. Vader Immortal: A Star Wars VR Series, also known as Vader Immortal (wd:Q63228502): 2019 video game
9. The Official Star Wars Fan Film Awards (wd:Q7754755): annual contest
10. Marketing blitz begins for final 'Star Wars' film (wd:Q17656275): Wikinews article

[Tool]
Got 1,506 rows and 3 columns, showing the first 10 rows below:
| subject          | property                                       | object                                                                                |
| ---------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------- |
| film (wd:Q11424) | Commons category (wdt:P373)                    | Film                                                                                |
| film (wd:Q11424) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Muybridge%20race%20horse%20animated.gif> |
| film (wd:Q11424) | subclass of (wdt:P279)                         | audiovisual work (wd:Q2431196)                                                               |
| film (wd:Q11424) | has part(s) (wdt:P527)                         | trailer (wd:Q622550)                                                                         |
| film (wd:Q11424) | described by source (wdt:P1343)                | Metropolitan Museum of Art Tagging Vocabulary (wd:Q106727050)                                |
| film (wd:Q11424) | on focus list of Wikimedia project (wdt:P5008) | wd:Q5460604                                                                                |
| film (wd:Q11424) | different from (wdt:P1889)                     | film reel (wd:Q45871375)                                                                     |
| film (wd:Q11424) | maintained by WikiProject (wdt:P6104)          | WikiProject Film (wd:Q8485793)                                                               |
| film (wd:Q11424) | topic's main category (wdt:P910)               | wd:Q1458269                                                                                |
| film (wd:Q11424) | exact match (wdt:P2888)                        | <https://citationstyles.org/ontology/type/motion_picture>                                    |
| ...              | ...                                            | ...                                                                                |

[Tool]
Top 10 entity alternatives:
1. robot in the Star Wars franchise (wd:L620132-S2)
2. Star Wars, also known as 1977 Star Wars (wd:Q462): epic space opera multimedia franchise created by George Lucas
3. Star Wars: Episode IV – A New Hope, also known as 1977 Star Wars, A New Hope, Star Wars, Star Wars: A New Hope, Star Wars: Episode IV (wd:Q17738): 1977 film directed by George Lucas
4. Star Wars, also known as Star Wars: The Arcade Game (wd:Q54317): 1983 video game
5. Star Wars, also known as Star Wars (Original Motion Picture Soundtrack), Star Wars soundtrack (wd:Q2715371): 1977 soundtrack album
6. Star Wars, also known as 1991 Star Wars, Game Boy Star Wars, NES Star Wars (wd:Q54320): 1991 video game
7. Star Wars (wd:Q30597407): 1977 composition by John Williams
8. Star Wars: Starfighter (wd:Q55225): 2001 video game
9. Star Wars, also known as 1987 Star Wars (wd:Q54319): 1987 video game
10. Star Wars (wd:Q20720789): album by Wilco

[Tool]
Top 10 entity alternatives:
1. untitled Star Wars film, also known as untitled Star Wars project (wd:Q63616718): upcoming Star Wars film
2. Star Wars live-action TV series (wd:Q13365728): television series
3. Star Wars: The Black Series, also known as TBS (wd:Q29017943): ongoing Star Wars toy line produced by the Hasbro company
4. Star Wars Fan Film Awards (wd:Q125734488)
5. Lego Star Wars Ultimate Collector Series, also known as LEGO UCS (wd:Q56320655): Line of Lego Star Wars sets for expert builders
6. Star Wars Rebels short films (wd:Q25399455): short film series based on Star Wars Rebels
7. Star Wars: X-Wing - Collector Series (wd:Q29649749): video game compilation
8. Vader Immortal: A Star Wars VR Series, also known as Vader Immortal (wd:Q63228502): 2019 video game
9. The Official Star Wars Fan Film Awards (wd:Q7754755): annual contest
10. Marketing blitz begins for final 'Star Wars' film (wd:Q17656275): Wikinews article

[Tool]
Got 2 rows and 1 column:
| series                                    |
| ----------------------------------------- |
| Star Wars (wd:Q22092344)                  |
| Star Wars original trilogy (wd:Q25540859) |

[Tool]
Got 139 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                             | object                                                  |
| ------------------------ | ---------------------------------------------------- | ------------------------------------------------------- |
| Star Wars (wd:Q22092344) | instance of (wdt:P31)                                | film series (wd:Q24856)                                 |
| Star Wars (wd:Q22092344) | main subject (wdt:P921)                              | conflict between good and evil (wd:Q5160181)            |
| Star Wars (wd:Q22092344) | part of (wdt:P361)                                   | Star Wars (wd:Q462)                                     |
| Star Wars (wd:Q22092344) | has part(s) (wdt:P527)                               | Star Wars sequel trilogy (wd:Q6586871)                  |
| Star Wars (wd:Q22092344) | owned by (wdt:P127)                                  | Lucasfilm (wd:Q242446)                                  |
| Star Wars (wd:Q22092344) | production company (wdt:P272)                        | Lucasfilm (wd:Q242446)                                  |
| Star Wars (wd:Q22092344) | review score (wdt:P444)                              | 94%                                                     |
| Star Wars (wd:Q22092344) | fandom (wdt:P8693)                                   | The Fandom Menace (wd:Q97162828)                        |
| Star Wars (wd:Q22092344) | Rotten Tomatoes ID (wdt:P1258)                       | franchise/star_wars_saga                                |
| Star Wars (wd:Q22092344) | Library of Congress Genre/Form Terms ID (wdtn:P4953) | <http://id.loc.gov/authorities/genreForms/gf2011026609> |
| ...                      | ...                                                  | ...                                                     |

[Tool]
Got 9 rows and 2 columns:
| film                                                         | title                                               |
| ------------------------------------------------------------ | --------------------------------------------------- |
| Star Wars: Episode II – Attack of the Clones (wd:Q181069)    | Star Wars: Episode II – Attack of the Clones (en)   |
| Star Wars: Episode III – Revenge of the Sith (wd:Q42051)     | Star Wars: Episode III – Revenge of the Sith (en)   |
| Star Wars: Episode I – The Phantom Menace (wd:Q165713)       | Star Wars: Episode I – The Phantom Menace (en)      |
| Star Wars: Episode IV – A New Hope (wd:Q17738)               | Star Wars: Episode IV – A New Hope (en)             |
| Star Wars: Episode IX – The Rise of Skywalker (wd:Q20977110) | Star Wars: Episode IX – The Rise of Skywalker (en)  |
| Star Wars: Episode VIII – The Last Jedi (wd:Q18486021)       | Star Wars: Episode VIII – The Last Jedi (en)        |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)        | Star Wars: Episode VII – The Force Awakens (en)     |
| Star Wars: Episode VI – Return of the Jedi (wd:Q181803)      | Star Wars: Episode VI – Return of the Jedi (en)     |
| Star Wars: Episode V – The Empire Strikes Back (wd:Q181795)  | Star Wars: Episode V – The Empire Strikes Back (en) |

[Tool] False

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?releaseDate WHERE {
  wd:Q58815001 wdt:P577 ?releaseDate .
}

The film 'Red Notice' was released on 12 November 2021.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] When the film Red Notice was released?

[Tool]
Top 10 entity alternatives:
1. Red Notice (wd:Q58815001): 2021 film directed by Rawson Marshall Thurber
2. Interpol Red Notice, also known as Red Notice (wd:Q47612352)
3. Red Notice (wd:Q119843350): action comedy film series
4. SAS: Red Notice (wd:Q65119432): 2021 film directed by Magnus Martens
5. Bill Browder, Red Notice (wd:Q102079684): scientific article published on 31 December 1969
6. Bill Browder’s ‘Red Notice’ (wd:Q102080235)
7. Notice of redundancy (wd:Q57829991)
8. Critical notice: Darwinian reductionism (wd:Q107095554): journalArticle
9. Notice of redundant publications (wd:Q80587358): scientific article published on 17 September 2004
10. Notice of redundant publications (wd:Q82576463): scientific article published on 01 November 2010

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
2. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
3. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as p/wdt): company that produced this film, audio or performing arts work
7. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as p/wdt): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. color, also known as with the colour, with the color, pigment, of the colour, of the color (wd:P462 as p/wdt): color of subject
10. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon

No other items found

[Tool]
Got 1 row and 1 column:
| releaseDate                         |
| ----------------------------------- |
| 2021-11-12T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?dateOfDeath WHERE {
  wd:Q1768 wdt:P570 ?dateOfDeath .
}

Ella Fitzgerald died on 15 June 1996.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] When did Ella Fitzgerald die?

[Tool]
Top 10 entity alternatives:
1. Ella Fitzgerald, also known as The First Lady of Jazz, The First Lady of Song, Lady Ella, Queen of Jazz (wd:Q1768): American jazz singer (1917–1996), singer-songwriter, recording artist, jazz musician, bandleader, film actor, conductor, composer, singer
2. Ella Fitzgerald, also known as Donnell Robinson (wd:Q100786004): American drag queen, drag queen
3. Ella Fitzgerald (wd:Q28732978): tram stop in the 19th arrondissement of Paris, France
4. Ella Fitzgerald 1937-1938, also known as 1937-1938 (wd:Q30880995): 1990 compilation album by Ella Fitzgerald
5. Ella Fitzgerald 1935-1937, also known as 1935-1937 (wd:Q30880987): 1990 compilation album by Ella Fitzgerald
6. Ella Fitzgerald 1938-1939, also known as 1938-1939 (wd:Q48833657): 1990 compilation album by Ella Fitzgerald
7. Ella Fitzgerald 1939, also known as 1939 (wd:Q48833865): 1990 compilation album by Ella Fitzgerald
8. Ella Fitzgeraldstraat (wd:Q52321478): street in Amsterdam, the Netherlands
9. Ella Fitzgeraldstraat (wd:Q19116594): street in Arnhem, the Netherlands
10. Ella Fitzgeraldplein (wd:Q19116593): street in Utrecht, the Netherlands

[Tool]
Got 1 row and 1 column:
| dateOfDeath                         |
| ----------------------------------- |
| 1996-06-15T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?endDate WHERE {
  wd:Q362 wdt:P582 ?endDate .
}

World War II officially ended on 1945-09-02.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] When did World War II officially end?

[Tool]
Top 10 entity alternatives:
1. World War II, also known as 2nd World War, WWII, WW II, WW2, WW 2 (wd:Q362): 1939–1945 global conflict
2. Theatre of War, also known as World War II, World War II RTS: Theatre of War (wd:Q2631997): 2006 video game developed by 1C Company
3. Tyneside Scottish, also known as World War II (wd:Q7860541): military unit
4. World War II (wd:Q104869378): series of books written by American author Chris Lynch
5. World War II (wd:Q131576266): online exhibition from Indiana State Library
6. World War II (wd:Q110874375): US magazine
7. World War II, also known as mbcwwii, The Military Book Club's World War II (wd:Q15053459): 1995 edition by the Military Book Club
8. World War II, also known as Second World War (wd:Q105750294): scenario in the video game Civilization II
9. World War II, also known as The Military Book Club's World War II (wd:Q15053456): book by John Ellis, 1993 edition
10. Theatre of War, also known as World War II (wd:Q108371810): video game series

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. topic's main template, also known as topic has template, topic's main module, topic's main infobox, topic infobox, main template (wd:P1424 as p/wdt): the main template relating to a topic
4. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
5. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
6. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
7. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject
10. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as p/wdt): Wikimedia portal associated with this topic

No other items found

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
3. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
4. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as p/wdt): effect of this item, followed by
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
6. participant, also known as suspect, player, party, participants, has participant (wd:P710 as p/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
7. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
8. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
10. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in

No other items found

[Tool]
Got 1 row and 1 column:
| end                                 |
| ----------------------------------- |
| 1945-09-02T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?material ?materialLabel WHERE {
  wd:Q39231 wdt:P186 ?material .
  OPTIONAL {
    ?material rdfs:label ?materialLabel FILTER ( lang( ?materialLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| material           | materialLabel |
| ------------------ | ------------- |
| basalt (wd:Q43338) | basalt (en)   |

Mount Fuji (Fujiyama) is made of basalt.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] What is the Fujiyama made of?

[Tool]
Top 10 entity alternatives:
1. Mount Fuji, also known as Mt. Fuji, Mt Fuji, Fujiyama, Fuji-yama, Fuji-san (wd:Q39231): volcano in Yamanashi and Shizuoka Prefectures, Japan
2. Fujiyama, also known as Fujiyama (roller coaster) (wd:Q788077): roller coaster in Fujiyoshida, Japan
3. Fujiyama, also known as 藤山 (wd:Q19364120): Japanese family name (藤山)
4. Fujiyama (wd:Q17174578): dissolved municipality in Chiisagata district, Nagano prefecture, Japan
5. Fujiyama (wd:Q11623847): dissolved municipality in Asa district, Yamaguchi prefecture, Japan
6. Fujiyama (wd:Q24876637): Japanese mangaka, illustrator
7. Fujiyama (wd:Q46945234): painting by John Henry Twachtman
8. Kazuhito Fujiyama, also known as Fujiyama (wd:Q88822958): botanist
9. Ryuji Fujiyama (wd:Q1092137): Japanese association football player, association football player
10. Tomofumi Fujiyama, also known as Fujiyama Tomofumi (wd:Q38277863): Japanese association football player (1994-), association football player

[Tool]
Top 10 property alternatives:
1. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as p/wdt): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
9. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as p/wdt): object depicting this subject (object being creative works such as books, films, paintings)
10. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as p/wdt): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of

No other items found

[Tool]
Got 1 row and 2 columns:
| material           | materialLabel |
| ------------------ | ------------- |
| basalt (wd:Q43338) | basalt (en)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q1650 wdt:P2043 ?weserLength .
  wd:Q584 wdt:P2043 ?rhineLength .
  FILTER ( ?weserLength > ?rhineLength )
}

No. The ASK query returns false, since the Weser (about 451 km) is shorter than the Rhine (about 1232.7 km).

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] Is the Weser longer than the Rhine?

[Tool]
Top 10 entity alternatives:
1. Weser, also known as Werser (wd:Q1650): river in north-western Germany
2. Seydlitz, also known as German cruiser Seydlitz, Weser (wd:Q662855): 1939 Admiral Hipper-class cruiser
3. Weser (wd:Q2563829): German pilot vessel
4. Weser (wd:Q28657280): nature preserve in North Rhine-Westphalia, Germany
5. Pola I, also known as Arngast, Baltica, Beta, Drochtersen, IMO 5387740 (wd:Q83582689): ship built in 1958
6. Weser (wd:Q56515182): ship built by Schichau Unterweser
7. Weser (wd:Q37225304): family name
8. Weser (wd:Q34857185): part of a river in Germany
9. Weser (wd:Q2563832): 1931 German ship
10. Weser, also known as IMO 6620266, Wabda (wd:Q106677892): bulk carrier launched in 1966

[Tool]
Top 10 property alternatives:
1. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): length of time of an event or process
2. length, also known as size, long, LOA, distance, dimension (wd:P2043 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): measured dimension of an object
3. block size, also known as block length (wd:P2599 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): size of block for this block cipher or hash function
4. perimeter, also known as boundary length, circumference, coastline (wd:P2547 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): linear distance around the outside of an object
5. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): area occupied by an object
7. width, also known as breadth, bus width, size (wd:P2049 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): width of an object, length
8. height, also known as heighth, size, depth over terrain (wd:P2048 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): vertical length of an entity, length
9. beam, also known as width, breadth, BOA (wd:P2261 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): width of a ship at its widest point measured at its nominal waterline
10. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): height of the item (geographical object) as measured relative to sea level

[Tool]
Top 10 entity alternatives:
1. Rhine (wd:Q584): river in Western Europe to the North Sea
2. Rhine, also known as Rhine, GA, Rhine, Georgia (wd:Q2156232): town in Dodge County, Georgia, USA
3. Rhine (wd:Q1886951): civil town in Sheboygan County, Wisconsin
4. Seerhein, also known as Rhine (wd:Q481339): river
5. Rhine (wd:Q7320550): ship
6. rhyne, also known as reen, rhine (wd:Q7321737): term for a drainage ditch or canal in parts of England and Wales
7. Rhine Center, also known as Rhine, Rhine Center, WI, Rhine Center, Wisconsin (wd:Q7320551): unincorporated community in Sheboygan County, Wisconsin
8. Rhine (wd:Q37575224): family name
9. Rhine (wd:Q110815477): given name
10. Rhine (wd:Q104267295): townland in Cloonee, County Longford, Ireland

[Tool]
Got 1 row and 2 columns:
| weserLength       | rhineLength          |
| ----------------- | -------------------- |
| 451 (xsd:decimal) | 1232.7 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?event ?eventLabel ?deathCount WHERE {
  {
    SELECT ( MAX( ?d ) AS ?maxDeath ) WHERE {
      ?e wdt:P580 ?s ; wdt:P1120 ?d .
      FILTER ( YEAR( ?s ) >= 1910 && YEAR( ?s ) <= 1920 )
    }
  }
  ?event wdt:P580 ?start ; wdt:P1120 ?deathCount .
  FILTER ( YEAR( ?start ) >= 1910 && YEAR( ?start ) <= 1920 ) FILTER ( ?deathCount = ?maxDeath ) OPTIONAL {
    ?event rdfs:label ?eventLabel FILTER ( LANG( ?eventLabel ) = "en" )
  }
}

The event that killed the most people between 1910 and 1920 is the 1918–1920 flu pandemic (wd:Q178275). It is recorded as having caused approximately 50,000,000 deaths.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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 event killed the most people in the years 1910 to 1920?

[Tool]
Top 10 property alternatives:
1. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): total (cumulative) number of people who died since start as a direct result of an event or cause
2. number of casualties, also known as casualities, number of deaths and injuries (wd:P1590 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of people dead or injured because of this event.  Used wh...e data on number of deaths and number of injured is unavailable.
3. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
4. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): people killed by the subject, both legal and illegal
5. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): person or organization who killed the subject, significant person
6. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): category item for people who died in this location, related category
7. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
8. number of injured, also known as injured, injuries, injury toll, non-fatal injuries, number injured (wd:P1339 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): number of people with non-fatal injuries in an event
9. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
10. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide

[Tool]
Top 10 entity alternatives:
1. event, also known as statistics event (wd:Q10290214): in statistics and probability theory, set of outcomes to which a probability is assigned
2. occurrence, also known as perdurants, incident, perdurant, occurring, occurrant (wd:Q1190554): occurrence of a fact or object in space-time; instantiation of a property in an object
3. quick time event, also known as event, QTE, quick time events (wd:Q1392636): video game mechanic
4. event, also known as computer event, Event (computing), event (informatics) (wd:Q3291944): computing operation that can be recognized and handled by software
5. event, also known as activity, events, happening (wd:Q1656682): temporary and scheduled happening, like a conference, festival, competition or similar
6. event (wd:Q100235738): objects in time or instantiations of properties in objects (in philosophy)
7. The Event, also known as Event (wd:Q22192553): documentary about the August days of 1991 in Leningrad
8. An Event, also known as Event (wd:Q3506213): 1969 film by Vatroslav Mimica
9. event (wd:Q5416694): in particle physics, set of particle interactions occurring in a brief span of time
10. event (wd:Q5416692): in computer programming, synchronization primitive

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject               | property              | object                              |
| --------------------- | --------------------- | ----------------------------------- |
| World War I (wd:Q361) | start time (wdt:P580) | 1914-07-28T00:00:00Z (xsd:dateTime) |

[Tool] Got no rows and 3 columns

[Tool]
Got 10 rows and 4 columns:
| event                                                         | eventLabel                                         | deathCount             | start                               |
| ------------------------------------------------------------- | -------------------------------------------------- | ---------------------- | ----------------------------------- |
| 1918-1920 flu pandemic (wd:Q178275)                           | 1918-1920 flu pandemic (en)                        | 50000000 (xsd:decimal) | 1918-01-01T00:00:00Z (xsd:dateTime) |
| World War I (wd:Q361)                                         | World War I (en)                                   | 17000000 (xsd:decimal) | 1914-07-28T00:00:00Z (xsd:dateTime) |
| Armenian genocide (wd:Q80034)                                 | Armenian genocide (en)                             | 1200000 (xsd:decimal)  | 1915-04-24T00:00:00Z (xsd:dateTime) |
| Greek genocide (wd:Q911233)                                   | Greek genocide (en)                                | 900000 (xsd:decimal)   | 1913-01-01T00:00:00Z (xsd:dateTime) |
| Encephalitis lethargica epidemic of 1915-1926 (wd:Q110614024) | Encephalitis lethargica epidemic of 1915-1926 (en) | 500000 (xsd:decimal)   | 1915-01-01T00:00:00Z (xsd:dateTime) |
| Greek genocide (wd:Q911233)                                   | Greek genocide (en)                                | 450000 (xsd:decimal)   | 1913-01-01T00:00:00Z (xsd:dateTime) |
| Romanian typhus outbreak during WWI (wd:Q61082084)            | Romanian typhus outbreak during WWI (en)           | 300000 (xsd:decimal)   | 1916-01-01T00:00:00Z (xsd:dateTime) |
| Manchurian plague (wd:Q91900320)                              | Manchurian plague (en)                             | 100000 (xsd:decimal)   | 1910-01-01T00:00:00Z (xsd:dateTime) |
| Manchurian plague (wd:Q91900320)                              | Manchurian plague (en)                             | 60000 (xsd:decimal)    | 1910-01-01T00:00:00Z (xsd:dateTime) |
| wd:Q92994090                                                  |                                                    | 40000 (xsd:decimal)    | 1918-08-01T00:00:00Z (xsd:dateTime) |

[Tool]
Got 1 row and 3 columns:
| event                               | eventLabel                  | maxDeaths              |
| ----------------------------------- | --------------------------- | ---------------------- |
| 1918-1920 flu pandemic (wd:Q178275) | 1918-1920 flu pandemic (en) | 50000000 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country ?countryLabel WHERE {
  wd:Q5451 wdt:P17 ?country .
  ?country rdfs:label ?countryLabel .
  FILTER ( LANG( ?countryLabel ) = "en" )
}

Got 7 rows and 2 columns:
| country                              | countryLabel                    |
| ------------------------------------ | ------------------------------- |
| People's Republic of China (wd:Q148) | People's Republic of China (en) |
| India (wd:Q668)                      | India (en)                      |
| Myanmar (wd:Q836)                    | Myanmar (en)                    |
| Nepal (wd:Q837)                      | Nepal (en)                      |
| Pakistan (wd:Q843)                   | Pakistan (en)                   |
| Afghanistan (wd:Q889)                | Afghanistan (en)                |
| Bhutan (wd:Q917)                     | Bhutan (en)                     |

The Himalayas are located in the following countries: People’s Republic of China, India, Myanmar, Nepal, Pakistan, Afghanistan, and Bhutan.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] In which countries is the Himalayas located?

[Tool]
Top 10 entity alternatives:
1. Himalayas, also known as Himalaya, Himálaya, Himalaya Mountains, Himálaya Mountains, Himalayan Mountains (wd:Q5451): mountain range in Asia
2. The Himalayas, also known as Himalayas (wd:Q21546296): 2015 film directed by Lee Seok-hoon
3. Himalayas (wd:Q85766587): Welsh rock band
4. Himalayas (wd:Q100353676): painting by Gaganendranath Tagore
5. Himalayas (wd:Q100374811)
6. Himalayas (wd:Q100403347): painting collection of National Gallery of Modern Art, Bangalore
7. Himalayas (wd:Q20441754): painting by Eliot Clark
8. Himalayas (wd:Q20469856): painting by Sidney Nolan
9. Himalayas (wd:Q20469983): painting by Sidney Nolan (AGNSW, 96.1989)
10. Himalayas (wd:L1125498-S1)

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
5. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
7. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
10. width, also known as breadth, bus width, size (wd:P2049 as p/wdt): width of an object, length

No other items found

[Tool]
Got 7 rows and 1 column:
| country                              |
| ------------------------------------ |
| People's Republic of China (wd:Q148) |
| India (wd:Q668)                      |
| Myanmar (wd:Q836)                    |
| Nepal (wd:Q837)                      |
| Pakistan (wd:Q843)                   |
| Afghanistan (wd:Q889)                |
| Bhutan (wd:Q917)                     |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q2926117 wdt:P19 ?birthplace1 .
  wd:Q87192979 wdt:P19 ?birthplace2 .
  ?birthplace1 wdt:P131 * ?state .
  ?birthplace2 wdt:P131 * ?state .
  ?state wdt:P31 wd:Q35657 .
}

Yes. Both Brooke Raboutou and Colin Duffy are from the state of Colorado in the USA.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] are brooke raboutou and colin duffy from same state of the usa?

[Tool]
Top 10 entity alternatives:
1. Brooke Raboutou (wd:Q2926117): American sport climber, competition climber, rock climber
2. Tera Patrick, also known as Linda Ann Hopkins Shapiro, Sadie Jordan, Tara Patrick, Tera Hopkins, Brooke (wd:Q30628): American pornographic actress, erotic photography model, pornographic actor, autobiographer, film producer, film actor, blogger, model
3. Brooke Scullion, also known as Brooke (wd:Q110619704): Irish musical artist, songwriter, singer
4. Brooke, also known as Brooke, Rutland (wd:Q2620721): village in Rutland, England, United Kingdom
5. Victor Brooke, also known as Brooke, Sir Victor Alexander Brooke, 3rd Bt. (wd:Q3557201): British naturalist (1843-1891), naturalist
6. Brooke, also known as Brooke, Norfolk (wd:Q2350389): village in Norfolk, England, United Kingdom
7. Brooke (wd:Q15300112): crater on Venus
8. Brooke (wd:Q3645341): unisex given name
9. Brooke (wd:Q16860538): family name
10. Jocelyn Brooke, also known as Bernard Jocelyn Brooke, Brooke (wd:Q6207104): British writer and botanist (1908-1966), botanist, writer

[Tool]
Top 10 entity alternatives:
1. Colin Duffy (wd:Q87192979): Sport climber from the United States, climber
2. Colin Duffy (wd:Q5145059): Irish Republican
3. Duffy, also known as Amie Ann Duffy, Aimee Anne Duffy (wd:Q192587): singer-songwriter, Welsh singer, film actor, songwriter, composer, singer
4. hake, also known as colin, Hake fish (wd:Q1289807): fish, ambiguous vernacular name
5. Stephen Duffy, also known as Stephen 'Tin Tin' Duffy, Stephen Tin Tin Duffy, Tin Tin, Duffy, Stephen Anthony James Duffy (wd:Q2000460): English songwriter, vocalist; founding member of Duran Duran, singer-songwriter, songwriter, guitarist, singer
6. Colin, also known as Colin (first name), Colin (given name) (wd:Q495635): male given name
7. Collin College, also known as CCCC, Quad C, Collin County Community College District, Collin County Community College, Collin (wd:Q5147228): community college system in Collin County, TX, headquartered in McKinney
8. Colin (wd:Q3278815): 2008 film by Marc Price
9. Duffy, also known as Duffy, Australian Capital Territory, Duffy, Australian Capital Territory, Australia (wd:Q910857): suburb of Canberra, Australia
10. Colin (wd:Q5144839): American-bred Thoroughbred racehorse

[Tool]
Got 1 row and 1 column:
| state               |
| ------------------- |
| Colorado (wd:Q1261) |

[Tool]
Got 1 row and 1 column:
| state               |
| ------------------- |
| Colorado (wd:Q1261) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ( COUNT( DISTINCT ?president ) AS ?count ) WHERE {
  ?president p:P39 ?posStmt .
  ?posStmt ps:P39 wd:Q218295 ; pq:P580 ?startTime .
  FILTER ( ?startTime > "1990-12-31T00:00:00Z" ^^ xsd:dateTime )
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

There have been 3 different presidents of Russia who assumed office after 1990.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] How many different presidents of Russia have there been that took the position after 1990?

[Tool]
Top 10 entity alternatives:
1. President of Russia, also known as President of the Russian Federation, President Rossiiskoi Federatsii, President of the Russian Soviet Federative Socialist Republic (wd:Q218295): head of state of the RSFSR (office established in 1991) and Russia
2. Presidential Administration of Russia, also known as Federal State Budgetary Enterpri...ation of the President of Russia, Kremlin, Office of the President of Russia, President Office of Russia, the Kremlin (wd:Q2060629): executive office of the President of Russia
3. Acting President of Russia (wd:Q4127082): acting head of state post in Russia's constitution
4. Executive Order of the President of Russia, also known as Ukaz of the President of Russia, Decree of the President of Russia, Ukase of the President of Russia (wd:Q2061228): Russian legal act
5. Presidential symbols of Russia (wd:Q3920601)
6. Hospital of Directorate of President of Russia, also known as Federal State Budgetary Institution United Hospital with Clinic, United Hospital with Clinic of t...ment of President Office Affairs (wd:Q30890458): hospital in Moscow
7. President of Brazil meets President of Russia (wd:Q17655540): Wikinews article
8. Russian Federation Presidential Certificate of Honour, also known as Certificate of Merit of the President of Russia, Certificate of the President of the Russian Federation (wd:Q211167): honorary award bestowed by the President of Russia
9. Heraldic Council of the President of Russia (wd:Q4135940)
10. lifespan timeline of presidents of Russia (wd:Q28155224)

[Tool]
Got 4 rows and 2 columns:
| president                   | startTime                           |
| --------------------------- | ----------------------------------- |
| Dmitry Medvedev (wd:Q23530) | 2008-05-07T00:00:00Z (xsd:dateTime) |
| Boris Yeltsin (wd:Q34453)   | 1991-07-10T00:00:00Z (xsd:dateTime) |
| Vladimir Putin (wd:Q7747)   | 2000-05-07T00:00:00Z (xsd:dateTime) |
| Vladimir Putin (wd:Q7747)   | 2012-05-07T00:00:00Z (xsd:dateTime) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

[Tool] Stopped generation process