PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?deathDate WHERE {
  wd:Q6711 wdt:P570 ?deathDate .
}

Allen Ginsberg died on 1997-04-05.

[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 Allen Ginsberg die?

[Tool]
Top 10 entity alternatives:
1. Allen Ginsberg, also known as Irwin Allen Ginsberg (wd:Q6711): American poet and writer (1926–1997), autobiographer, photographer, screenwriter, playwright, musician, diarist, teacher, writer, poet
2. Allen Ginsberg (wd:Q102249265): Ph.D. Rutgers University, New Brunswick 1986
3. Allen Ginsberg Library (wd:Q117833470): this entity is a library in the state of colorado. it was identified and verified by the chr task force
4. Untitled (Allen Ginsberg) (wd:Q76558858): print in the National Gallery of Art (NGA 155538)
5. Allen Ginsberg no number (wd:Q64163104): photograph in the National Gallery of Art (NGA 88333)
6. Allen Ginsberg no number (wd:Q64163625): photograph in the National Gallery of Art (NGA 88331)
7. Allen Ginsberg no number (wd:Q64163102): photograph in the National Gallery of Art (NGA 88336)
8. Allen Ginsberg no number (wd:Q64163079): photograph in the National Gallery of Art (NGA 88334)
9. Allen Ginsberg no number (wd:Q64162725): photograph in the National Gallery of Art (NGA 88330)
10. Allen Ginsberg no number (wd:Q64162264): photograph in the National Gallery of Art (NGA 88332)

[Tool]
Got 1 row and 1 column:
| date                                |
| ----------------------------------- |
| 1997-04-05T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?award ) AS ?totalOscars ) WHERE {
  ?film wdt:P57 wd:Q55400 ; wdt:P31 / wdt:P279 * wd:Q11424 ; wdt:P166 ?award .
  ?award wdt:P31 / wdt:P279 * wd:Q19020 .
}

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

The combined total number of Oscars won by all movies directed by Hayao Miyazaki is returned by the above query.

[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 Oscars did all the movies directed by Hayao Miyazaki combined win?

[Tool]
Top 10 entity alternatives:
1. Hayao Miyazaki, also known as Miyazaki Hayao, Tsutomu Teruki (wd:Q55400): Japanese animator, film director, and mangaka (born 1941), mechanical designer, character designer, animation director, environmentalist, film producer, film director, comics artist, screenwriter, film editor, illustrator, animator, director, lyricist, mangaka
2. Hayao Miyazaki (wd:Q11454632): Japanese baseball player, baseball player
3. Hayao Miyazaki bibliography (wd:Q130265400)
4. Never-Ending Man: Hayao Miyazaki (wd:Q42859983): 2016 film
5. Hayao Miyazaki's Daydream Data Notes, also known as Miyazaki Hayao no Zassō Nōto (wd:Q888819): collection of manga and illustrated writings by Hayao Miyazaki
6. Hayao Miyazaki and the Heron (wd:Q130287351): 2024 documentary film
7. Miyazaki Prefecture, also known as Miyazaki (wd:Q130300): prefecture of Japan
8. Miyazaki (wd:Q204308): city in Miyazaki prefecture, Japan
9. 6905 Miyazaki, also known as Miyazaki (wd:Q717728): asteroid
10. Hayao (wd:Q60786238): Japanese male given name (はやお)

[Tool]
Got 1 row and 3 columns:
| subject     | property              | object                                      |
| ----------- | --------------------- | ------------------------------------------- |
| wd:Q2368976 | instance of (wdt:P31) | Wikimedia disambiguation page (wd:Q4167410) |

[Tool]
Top 10 entity alternatives:
1. Academy Award, also known as Academy Award Theater (wd:Q4671334): CBS radio anthology series
2. Academy Award (wd:Q113905749): Thoroughbred racehorse
3. Academy Awards, also known as Oscars, The Oscars (wd:Q19020): annual awards for cinematic achievements
4. Academy Honorary Award, also known as Honorary Academy Award, Honorary Oscar (wd:Q727328): award
5. Academy Juvenile Award (wd:Q489705): Special Honorary Academy Award for performers under the age of 18
6. Academy Fellowship Award, also known as BAFTA Fellowship (wd:Q787148): award
7. Sahitya Akademi Award, also known as Kendra Sahitya Academy Award, Sahitya Academy Award (wd:Q172582): literary honour awarded to authors of outstanding literary works in India
8. Polish Film Awards, also known as Orły, Polish Academy Award, Orzeł (wd:Q497324): trophy
9. Sings Days of Wine and Roses, Mo... and Other Academy Award Winners, also known as Sinatra Sings Days of Wine and R... and Other Academy Award Winners, Days of Wine and Roses, Moon River and Other Academy Award Winners, Academy Award Winners (wd:Q976472): 1964 studio album by Frank Sinatra
10. Berlin-Brandenburg Academy Award (wd:Q414530): award

[Tool]
Got 1 row and 1 column:
| totalAwards |
| ----------- |
| 0 (xsd:int) |

[Tool] Got no rows and 2 columns

[Tool]
Got 10 rows and 1 column:
| super                              |
| ---------------------------------- |
| fine ceramic (wd:Q125274801)       |
| goods and services (wd:Q2897903)   |
| goods (wd:Q28877)                  |
| manufactured good (wd:Q1836700)    |
| hand-made object (wd:Q22809652)    |
| archaeological find (wd:Q10855061) |
| artificial object (wd:Q16686448)   |
| object (wd:Q488383)                |
| tangible good (wd:Q1485500)        |
| collectible (wd:Q2342494)          |

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 1 column:
| award                                                   |
| ------------------------------------------------------- |
| Knight of the Order of the Golden Fleece (wd:Q15117228) |

[Tool] Got no rows and 4 columns

[Tool] Got no rows and 2 columns

[Tool]
Got 1 row and 1 column:
| totalAwards |
| ----------- |
| 0 (xsd:int) |

[Tool] Got no rows and 2 columns

[Tool]
Top 10 entity alternatives:
1. Academy Award for Best Animated Feature, also known as Academy Award for Animated Feature Film, Academy Award for Best Animated Feature Film (wd:Q106800): film category of the Academy Awards (Oscars)
2. Politically concerned movie Zoot...d for Best Animated Feature Film (wd:Q30069136): Wikinews article
3. Academy Award for Best Documentary Feature Film, also known as Oscar for Best Documentary Feature, Academy Award for Best Documentary Feature (wd:Q111332): award for documentary movie
4. Annie Award for Best Animated Feature (wd:Q1800189): list of award winners
5. Academy Award for Best International Feature Film (wd:Q105304): American film award
6. Academy Award for Best Animated Short Film, also known as Academy Award for Animated Short Filn (wd:Q917808): award given for short films
7. Golden Horse Award for Best Animated Feature (wd:Q20062574): Taiwanese film award
8. Silver Condor Award for Best Animated Feature (wd:Q6359059)
9. Gaudí Award for Best Animated Feature Film (wd:Q11923871)
10. List of submissions to the 74th ...s for Best Animated Feature Film (wd:Q55698384)

[Tool]
Got 1 row and 1 column:
| totalAwards |
| ----------- |
| 0 (xsd:int) |

[Tool]
Top 10 entity alternatives:
1. Spirited Away, also known as Sen to Chihiro no Kamikakushi (wd:Q155653): 2001 Japanese animated film directed by Hayao Miyazaki
2. kamikakushi, also known as spirit away, spiriting away, spirited away, snatched by kami, snatched by demons (wd:Q2443949): trope in Japanese mythology about people being abducted by an angry god
3. Miyazaki's Spirited Away, also known as Spirited Away, Spirited Away OST, Miyazaki's Spirited Away [Original Soundtrack] (wd:Q3228258): album by Joe Hisaishi
4. Spirited Away (wd:Q124830294): episode of Avatar: The Last Airbender (S1 E5)
5. Spirited Away (wd:Q65943447): episode of Unforgettable (S1 E11)
6. Spirited Away (wd:Q114551187): episode of The Wild Thornberrys (S3 E10)
7. Spirited Away (wd:Q114520366): episode of Disappeared (S8 E3)
8. Spirited Away soundtrack releases, also known as Music of Spirited Away (wd:Q118906038): Wikipedia article covering multiple soundtrack releases
9. Crazy Kwai Boo: Sanxingdui Spirited Away (wd:Q123055291): 2022 animated film
10. Crazy Kwai Boo: Sanxingdui spirited away (wd:Q123051455): 2022 Chinese film

[Tool]
Got 3 rows and 3 columns:
| subject                    | property                  | object                                               |
| -------------------------- | ------------------------- | ---------------------------------------------------- |
| Spirited Away (wd:Q155653) | award received (wdt:P166) | Golden Bear (wd:Q154590)                             |
| Spirited Away (wd:Q155653) | award received (wdt:P166) | Academy Award for Best Animated Feature (wd:Q106800) |
| Spirited Away (wd:Q155653) | award received (wdt:P166) | Animation Kobe Theatrical Film Award (wd:Q19830564)  |

[Tool]
Got 2 rows and 2 columns:
| prop                  | obj                                         |
| --------------------- | ------------------------------------------- |
| instance of (wdt:P31) | Academy Awards (wd:Q19020)                  |
| instance of (wdt:P31) | award for best film by genre (wd:Q96474688) |

[Tool] Stopped generation process


PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?startYear ?endYear WHERE {
  wd:Q3044693 schema:description ?desc .
  FILTER ( LANG( ?desc ) = "en" ) BIND( xsd:gYear ( "1928" ) AS ?startYear ) BIND( xsd:gYear ( "1945" ) AS ?endYear )
}

SPARQL execution failed:
Not supported: Function "<http://www.w3.org/2001/XMLSchema#gYear>" is currently not supported by QLever.

People born between 1928 and 1945 belong to the Silent Generation.

[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] People of what age belong to the Silent Generation ?

[Tool]
Top 10 entity alternatives:
1. Silent Generation, also known as Lucky Few Generation (wd:Q3044693): cohort succeeding the Greatest Generation, born from 1928 to 1945
2. The Silent Generation (wd:Q7764217): album by The Dimes
3. The Silent Generation (wd:Q112669391): 2020 film
4. Silent zone generation (wd:Q124647370): US patent 11495205
5. Winter’s Children - The Silent Generation (wd:Q85671231): 2005 documentary film by Jens Schanze
6. China Witness, also known as China Witness: Voices from a Silent Generation. (wd:Q113681807): History of China in the 20th century
7. Comparison of Silent Navigator Waveform Generation Methods (wd:Q92381831): scientific article published on 30 May 2019
8. AI-assisted sound effect generation for silent video (wd:Q122763863): US patent 11381888
9. From the silent generation to the involved generation (wd:Q40372593): scientific article published on April 1, 1978
10. Retirement income decisions: the silent generation speaks. (wd:Q40344803): scientific article published on January 2005

[Tool]
Got 124 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                              | object                                                                                |
| ------------------------------- | ----------------------------------------------------- | -------------------------------------------------------------------------------------- |
| Silent Generation (wd:Q3044693) | instance of (wdt:P31)                                 | cultural generation of western society (wd:Q15925549)                                  |
| Silent Generation (wd:Q3044693) | image (wdt:P18)                                       | <http://commons.wikimedia.org/wiki/Special:FilePath/Girl%20listening%20to%20radio.gif> |
| Silent Generation (wd:Q3044693) | subclass of (wdt:P279)                                | Great Power Saeculum (wd:Q113207359)                                                   |
| Silent Generation (wd:Q3044693) | location (wdt:P276)                                   | worldwide (wd:Q13780930)                                                               |
| Silent Generation (wd:Q3044693) | follows (wdt:P155)                                    | Greatest Generation (wd:Q27995878)                                                     |
| Silent Generation (wd:Q3044693) | followed by (wdt:P156)                                | Baby Boomers (wd:Q797819)                                                              |
| Silent Generation (wd:Q3044693) | Freebase ID (wdt:P646)                                | /m/02zksw                                                                              |
| Silent Generation (wd:Q3044693) | Quora topic ID (wdt:P3417)                            | Silent-Generation                                                                      |
| Silent Generation (wd:Q3044693) | Encyclopædia Britannica Online ID (wdt:P1417)         | topic/Silent-Generation                                                                |
| Silent Generation (wd:Q3044693) | Encyclopedia of China (Third Edition) ID (wdt:P10565) | 125938                                                                                |
| ...                             | ...                                                   | ...                                                                                |

[Tool]
Top 10 property alternatives:
1. 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
2. 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)
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. 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)]
5. 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)]
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

No other items found

[Tool]
Top 10 property alternatives:
1. 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)]
2. 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
3. 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)]
4. 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)
5. 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)
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. 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
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. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
4. 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)]
5. 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)
6. 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)
7. Encyclopædia Britannica Online ID, also known as Encyclopaedia Britannica Online ID, Encyclopedia Britannica Online ID, EBID, EB ID, Britannica online ID (wd:P1417 as p/wdt): identifier for an article in the online version of Encyclopædia Britannica

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. 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)]
2. 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
3. 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)
4. 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)
5. 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)]
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. Encyclopædia Britannica Online ID, also known as Encyclopaedia Britannica Online ID, Encyclopedia Britannica Online ID, EBID, EB ID, Britannica online ID (wd:P1417 as p/wdt): identifier for an article in the online version of Encyclopædia Britannica

No other items found

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): time when an entity begins to exist; for date of official opening use P1619, start time
2. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): location where a work was first debuted, performed or broadcasted, significant place
3. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): date a work was first debuted, performed or live-broadcasted, publication date
4. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): time of the first public presentation of a subject by the creator, of information by the media, point in time
5. aperture (wd:P7863 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): aperture of a camera lens
6. Israel Museum Jerusalem artist ID, also known as IMAGINE (wd:P7681 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): identifier of a person (artist) in the Israel Museum Jerusalem collection
7. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
8. torque, also known as moment, moment of force (wd:P2230 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): torque of a machine, a motor/engine/powerplant, or a vehicle
9. catchphrase, also known as has catchphrase, mantra, slogan, tagline, uses catchphrase (wd:P6251 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): commonly used phrase by which someone or something may be recognized
10. has goal, also known as intention, mission, objective, objective of project or action, project of (wd:P3712 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): desired result or outcome

[Tool]
Got 1 row and 3 columns:
| subject                         | property         | object                                          |
| ------------------------------- | ---------------- | ----------------------------------------------- |
| Silent Generation (wd:Q3044693) | follows (p:P155) | s:Q3044693-cc00879f-4b52-a6f0-0370-8bfcef7137d8 |

[Tool]
Got 4 rows and 3 columns:
| subject                                         | property          | object                             |
| ----------------------------------------------- | ----------------- | ---------------------------------- |
| s:Q3044693-cc00879f-4b52-a6f0-0370-8bfcef7137d8 | follows (ps:P155) | Greatest Generation (wd:Q27995878) |
| s:Q3044693-cc00879f-4b52-a6f0-0370-8bfcef7137d8 | wikibase:rank     | wikibase:NormalRank                |
| s:Q3044693-cc00879f-4b52-a6f0-0370-8bfcef7137d8 | rdf:type          | wikibase:BestRank                  |
| s:Q3044693-cc00879f-4b52-a6f0-0370-8bfcef7137d8 | rdf:type          | wikibase:Statement                 |

[Tool]
Top 10 property alternatives:
1. 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
2. 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)]
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. 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)]
5. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
6. 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)
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Got 125 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                                      | object                                                                         |
| ---------------------------------- | --------------------------------------------- | ------------------------------------------------------------------------------ |
| Greatest Generation (wd:Q27995878) | instance of (wdt:P31)                         | cultural generation of western society (wd:Q15925549)                          |
| Greatest Generation (wd:Q27995878) | image (wdt:P18)                               | <http://commons.wikimedia.org/wiki/Special:FilePath/Lange-MigrantMother02.jpg> |
| Greatest Generation (wd:Q27995878) | subclass of (wdt:P279)                        | Great Power Saeculum (wd:Q113207359)                                           |
| Greatest Generation (wd:Q27995878) | has part(s) (wdt:P527)                        | Interbellum Generation (wd:Q6045552)                                           |
| Greatest Generation (wd:Q27995878) | follows (wdt:P155)                            | Lost Generation (wd:Q234105)                                                   |
| Greatest Generation (wd:Q27995878) | followed by (wdt:P156)                        | Silent Generation (wd:Q3044693)                                                |
| Greatest Generation (wd:Q27995878) | Google Knowledge Graph ID (wdtn:P2671)        | <http://g.co/kg/g/11csqv5l_j>                                                  |
| Greatest Generation (wd:Q27995878) | Quora topic ID (wdt:P3417)                    | Greatest-Generation                                                            |
| Greatest Generation (wd:Q27995878) | Encyclopædia Britannica Online ID (wdt:P1417) | topic/Greatest-Generation                                                      |
| Greatest Generation (wd:Q27995878) | wdt:P31279                                    | cohort (wd:Q1303415)                                                           |
| ...                                | ...                                           | ...                                                                            |

[Tool]
Got 1 row and 3 columns:
| subject                         | property   | object               |
| ------------------------------- | ---------- | -------------------- |
| Silent Generation (wd:Q3044693) | wdt:P31279 | cohort (wd:Q1303415) |

[Tool]
Got 1 row and 3 columns:
| subject                         | property             | object                                          |
| ------------------------------- | -------------------- | ----------------------------------------------- |
| Silent Generation (wd:Q3044693) | followed by (p:P156) | s:Q3044693-539bba4d-4097-2fee-2dd3-ef50ea160f0f |

[Tool]
Got 4 rows and 3 columns:
| subject                                         | property              | object                    |
| ----------------------------------------------- | --------------------- | ------------------------- |
| s:Q3044693-539bba4d-4097-2fee-2dd3-ef50ea160f0f | followed by (ps:P156) | Baby Boomers (wd:Q797819) |
| s:Q3044693-539bba4d-4097-2fee-2dd3-ef50ea160f0f | wikibase:rank         | wikibase:NormalRank       |
| s:Q3044693-539bba4d-4097-2fee-2dd3-ef50ea160f0f | rdf:type              | wikibase:BestRank         |
| s:Q3044693-539bba4d-4097-2fee-2dd3-ef50ea160f0f | rdf:type              | wikibase:Statement        |

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                         | property            | object                                          |
| ------------------------------- | ------------------- | ----------------------------------------------- |
| Silent Generation (wd:Q3044693) | instance of (p:P31) | s:Q3044693-1ef46aa7-4c2e-4fa4-df7c-2830c88083b4 |

[Tool]
Got 4 rows and 3 columns:
| subject                                         | property             | object                                                |
| ----------------------------------------------- | -------------------- | ----------------------------------------------------- |
| s:Q3044693-1ef46aa7-4c2e-4fa4-df7c-2830c88083b4 | instance of (ps:P31) | cultural generation of western society (wd:Q15925549) |
| s:Q3044693-1ef46aa7-4c2e-4fa4-df7c-2830c88083b4 | wikibase:rank        | wikibase:NormalRank                                   |
| s:Q3044693-1ef46aa7-4c2e-4fa4-df7c-2830c88083b4 | rdf:type             | wikibase:BestRank                                     |
| s:Q3044693-1ef46aa7-4c2e-4fa4-df7c-2830c88083b4 | rdf:type             | wikibase:Statement                                    |

[Tool]
Got 1 row and 3 columns:
| subject                                         | property          | object                             |
| ----------------------------------------------- | ----------------- | ---------------------------------- |
| s:Q3044693-cc00879f-4b52-a6f0-0370-8bfcef7137d8 | follows (ps:P155) | Greatest Generation (wd:Q27995878) |

[Tool] Constraint "P31279" for property position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Tool] Got no rows and 3 columns

[Tool]
Got 163 rows and 3 columns, showing the first 10 rows below:
| subject              | property                                                       | object                                                                   |
| -------------------- | -------------------------------------------------------------- | ------------------------------------------------------------------------ |
| cohort (wd:Q1303415) | subclass of (wdt:P279)                                         | demographic category (wd:Q123421186)                                     |
| cohort (wd:Q1303415) | different from (wdt:P1889)                                     | wd:Q228269                                                               |
| cohort (wd:Q1303415) | Freebase ID (wdt:P646)                                         | /m/056vb2                                                                |
| cohort (wd:Q1303415) | Microsoft Academic ID (wdtn:P6366)                             | <https://makg.org/entity/72563966>                                       |
| cohort (wd:Q1303415) | OpenAlex ID (wdt:P10283)                                       | C72563966                                                                |
| cohort (wd:Q1303415) | Great Russian Encyclopedia Online ID (old version) (wdt:P2924) | 2077352                                                                  |
| cohort (wd:Q1303415) | OmegaWiki Defined Meaning (wdt:P1245)                          | 1196808                                                                  |
| cohort (wd:Q1303415) | WikiSkripta article ID (wdt:P3471)                             | 7723                                                                     |
| cohort (wd:Q1303415) | schema:description                                             | a statisztikában, a marketingben...y meghatározó jellemzővel bírnak (hu) |
| cohort (wd:Q1303415) | schema:name                                                    | cohort (ca)                                                              |
| ...                  | ...                                                            | ...                                                                      |

[Tool] Got no rows and 3 columns

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                         | property           | object                                                                   |
| ------------------------------- | ------------------ | ------------------------------------------------------------------------ |
| Silent Generation (wd:Q3044693) | schema:description | 1928–1945-yillar oralig‘ida tug‘ilgan shaxslar guruhi (uz)               |
| Silent Generation (wd:Q3044693) | schema:description | 1928 ile 1945 yılları arasında doğan kohort (tr)                         |
| Silent Generation (wd:Q3044693) | schema:description | 1930年代から1940年代前半に生まれた世代 (ja)                                             |
| Silent Generation (wd:Q3044693) | schema:description | cohorte demográfica que sigue a ...osa y precede a los baby boomers (es) |
| Silent Generation (wd:Q3044693) | schema:description | cohort succeeding the Greatest Generation, born from 1928 to 1945 (en)   |
| Silent Generation (wd:Q3044693) | schema:description | generació de gent nascuda generalment entre 1928 a i 1945 (ca)           |
| Silent Generation (wd:Q3044693) | schema:description | generasjonen med mennesker som er født cirka 1928 til 1945 (nb)          |
| Silent Generation (wd:Q3044693) | schema:description | generatie geboren tussen 1928-1945 (nl)                                  |
| Silent Generation (wd:Q3044693) | schema:description | generazione composta dai nati tra il 1928 e il 1945 (it)                 |
| Silent Generation (wd:Q3044693) | schema:description | lidé narození v letech 1928–1945 (cs)                                    |
| ...                             | ...                | ...                                                                      |

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. generation time (wd:P3337 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): average time from one generation to another within the same population
2. annual energy output, also known as annual power production, annual electricity output, annual power output, annual power generation, annual generation (wd:P4131 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): annual energy output of a power plant
3. generational suffix, also known as age suffix, family suffix, Jr., Junior, Senior (wd:P8017 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): suffix used in name
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. Great Encyclopedia of Navarre ID, also known as GEN ID (wd:P7388 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): identifier of an item in the Great Encyclopaedia of Navarre
6. Google+ ID (archived), also known as Google Plus ID, plus.google.com/, https://plus.google.com/, Google+ username, Google Plus username (wd:P2847 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): Google Plus, account identifier of this person or organization: either starting with a "+" or consisting of 21 digits, website username or ID
7. sequenced genome URL, also known as genome, genome URL (wd:P6800 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): sequenced and assembled genome for this taxon, URL
8. school class, also known as class, cohort, grade, school cohort, stage (wd:P7174 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): (qualifier) class of a given year/time period to which the person belonged in an educational institution
9. biological phase, also known as life cycle stage, life stage (wd:P4774 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): biological period or stage when this biological process or phenomenon occurs
10. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)

[Tool]
Got 1 row and 1 column:
| desc                                                                   |
| ---------------------------------------------------------------------- |
| cohort succeeding the Greatest Generation, born from 1928 to 1945 (en) |

[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 ?founder ?founderLabel WHERE {
  wd:Q479361 wdt:P112 ?founder .
  OPTIONAL {
    ?founder rdfs:label ?founderLabel FILTER ( LANG( ?founderLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| founder                      | founderLabel         |
| ---------------------------- | -------------------- |
| Fritz Mackensen (wd:Q448400) | Fritz Mackensen (en) |
| Hans am Ende (wd:Q561091)    | Hans am Ende (en)    |
| Otto Modersohn (wd:Q71425)   | Otto Modersohn (en)  |

The Worpswede artist colony was founded by Fritz Mackensen, Hans am Ende, and Otto Modersohn.

[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] Who founded the Worpswede artist colony ?

[Tool]
Top 10 entity alternatives:
1. Worpswede artist colony, also known as Worpswede circle (wd:Q479361): Artist's colony founded in Worpswede in 1889
2. art colony, also known as artist colony, artists' colony (wd:Q1558054): place where artists live and interact with each other
3. Worpswede colony (wd:Q103974815): encyclopedia article
4. Nagybánya art colony, also known as Nagybanya art colony, Nagybánya artists' colony, Nagybanya School, Nagybánya School (wd:Q591229)
5. Önningeby artists colony, also known as Önningebykolonin (wd:Q2687905): Finnish artists colony
6. Ekensund Artists' Colony (wd:Q1669854)
7. Ein Hod artist colony, also known as Artists Village of Ein Hod, Ein Hod artists village (wd:Q124390656)
8. Nishimui Art Village, also known as Nishimui Art Colony, Nishimui Artists' Colony (wd:Q38277516)
9. New Rochelle artist colony (wd:Q19877130)
10. Kirkcudbright Artists' Colony (wd:Q20713695): artists' community

[Tool]
Got 3 rows and 2 columns:
| founder                      | founderLabel         |
| ---------------------------- | -------------------- |
| Fritz Mackensen (wd:Q448400) | Fritz Mackensen (en) |
| Hans am Ende (wd:Q561091)    | Hans am Ende (en)    |
| Otto Modersohn (wd:Q71425)   | Otto Modersohn (en)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q860580 wdt:P112 ?founder1 .
  wd:Q860580 wdt:P112 ?founder2 .
  FILTER ( ?founder1 != ?founder2 ) .
  ?founder1 wdt:P69 ?univ .
  ?founder2 wdt:P69 ?univ .
  ?univ wdt:P31 wd:Q3918 .
}

Yes, at least two of the founders of Tencent were educated at the same university.

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

You have access to the following knowledge graphs:
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] Were at least two of the founders of tencent educated at the same university?

[Tool]
Top 10 entity alternatives:
1. Tencent, also known as Téngxùn Kònggǔ Yǒuxiàn Gōngsī, Teng xun (firma), Tencent Group, Téngxùn, Tengxun (wd:Q860580): Chinese multinational investment holding conglomerate
2. Tencent QQ, also known as QQ, Qq, QICQ, OPEN-ICQ, OpenICQ (wd:Q857640): instant messaging software service
3. Tencent Video, also known as v.qq.com, TencentVideo, WeTV (wd:Q28136991): video streaming service from China
4. Tencent Pictures (wd:Q22080095): Chinese film production company
5. Tencent Games, also known as Tencent Game (wd:Q39057776): division of Tencent Holdings
6. Tencent Music, also known as tencentmusic.com, Tencent Music Entertainment, Tencent Music Entertainment Group, TME (wd:Q56011958): Chinese music distribution company
7. Tencent Weibo (wd:Q3983400): Chinese microblogging website launched by Tencent in April 2010
8. WeGame, also known as Tencent Game Platform, Tencent Games Platform, Tencent Gaming Platform, Tencent WeGame, TGP (wd:Q10852223): video gaming platform of Tencent
9. QQ browser, also known as tbs, TBS, Tencent Browsing Service, Tencent Explorer, Tencent Traveler (wd:Q6862273): web browser
10. Tencent Comic (wd:Q22101513): Chinese animation and comics network

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Tool]
Got 5 rows and 3 columns:
| subject              | property              | object                       |
| -------------------- | --------------------- | ---------------------------- |
| Tencent (wd:Q860580) | founded by (wdt:P112) | Ma Huateng (wd:Q1739008)     |
| Tencent (wd:Q860580) | founded by (wdt:P112) | Zhang Zhidong (wd:Q15934341) |
| Tencent (wd:Q860580) | founded by (wdt:P112) | Chen Yidan (wd:Q20689208)    |
| Tencent (wd:Q860580) | founded by (wdt:P112) | Zeng Liqing (wd:Q18653685)   |
| Tencent (wd:Q860580) | founded by (wdt:P112) | Daniel Xu (wd:Q18659347)     |

[Tool]
Got 9 rows and 2 columns:
| founder                      | univ                                              |
| ---------------------------- | ------------------------------------------------- |
| Zhang Zhidong (wd:Q15934341) | Shenzhen University (wd:Q1945756)                 |
| Zhang Zhidong (wd:Q15934341) | South China University of Technology (wd:Q835366) |
| Ma Huateng (wd:Q1739008)     | Shenzhen University (wd:Q1945756)                 |
| Ma Huateng (wd:Q1739008)     | Shenzhen Middle School (wd:Q7494378)              |
| Zeng Liqing (wd:Q18653685)   | Xidian University (wd:Q649906)                    |
| Daniel Xu (wd:Q18659347)     | Shenzhen University (wd:Q1945756)                 |
| Daniel Xu (wd:Q18659347)     | Nanjing University (wd:Q683580)                   |
| Chen Yidan (wd:Q20689208)    | Shenzhen University (wd:Q1945756)                 |
| Chen Yidan (wd:Q20689208)    | Shenzhen Middle School (wd:Q7494378)              |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?airport ) AS ?count ) WHERE {
  ?airport wdt:P31 wd:Q644371 ; wdt:P131 + wd:Q1055 .
}

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

There is 1 international airport located within the city of Hamburg.

[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 international airports are located within the city of Hamburg ?

[Tool]
Top 10 entity alternatives:
1. international airport (wd:Q644371): airport serving international destinations
2. International Airport (wd:Q55614529): 1985 film directed by Don Chaffey
3. Domodedovo International Airport, also known as Moscow-Domodedovo Airport, UUDD, Moscow International Airport, Moscow Domodedovo Airport, Moscow Airport (wd:Q186614): international airport serving Moscow, Russia
4. John F. Kennedy International Airport, also known as Kennedy International Airport, New York International Airport, KJFK, JFK International Airport, Kennedy International (wd:Q8685): international airport in New York, United States
5. John F. Kennedy International Airport, also known as Idlewild Airport, Kennedy International, JFK International Airport, KJFK, JFK Airport (wd:Q8685): international airport in New York, United States
6. Sheremetyevo International Airport, also known as Moscow Airport, Moscow International Airport, Sheremetyevo Airport, SVO, UUEE (wd:Q192733): international airport serving Moscow, Russia
7. Istanbul-Atatürk, also known as LTBA, Istanbul Atatürk Airport, Istanbul Ataturk Airport, ISL, Atatürk International Airport (wd:Q86473): international airport in Istanbul, Turkey
8. Dubai International Airport, also known as DXB, OMDB (wd:Q193439): international airport in Dubai, United Arab Emirates
9. Singapore Changi Airport, also known as WSSS, Changi Airport Singapore, SIN, Changi Airport, Changi International Airport (wd:Q32159): international airport in Singapore
10. Tokyo International Airport, also known as Haneda Airport, HND, RJTT (wd:Q204853): international airport serving Tokyo, Japan

[Tool]
Top 10 entity alternatives:
1. Hamburg Airport, also known as Hamburg-Fuhlsbüttel Airport, Hamburg Airport “Helmut Schmidt”, EDDH, HAM (wd:Q27706): airport in Fuhlsbüttel, Hamburg, Germany
2. Hamburg Finkenwerder Airport, also known as Airbus Hamburg-Finkenwerder, EDHI, Finkenwerder Airport, XFW (wd:Q663819): aircraft manufacturing plant and associated private airport in the Finkenwerder quarter of southwest Hamburg, Germany
3. Hamburg Airport station (wd:Q5644290): railway station in Germany
4. Hamburg Airport Classics (wd:Q1572874)
5. Hamburg Inc Airport, also known as 4G2, Hamburg Inc Aerodrome (wd:Q34959585)
6. Hamburg : Airport, also known as A9 n35_Sm2 (wd:Q104725193): folder of the 20th Century Press Archives
7. Hamburg Airport S-Bahn line (wd:Q1430696): railway line in Germany
8. Novo Hamburgo Airport, also known as SSNH (wd:Q12694211): Brazilian airport
9. Hamburg : Airport, individual, also known as A9 n35_Sm2.II (wd:Q104725196): folder of the 20th Century Press Archives
10. Hamburg : Airport, general, also known as A9 n35_Sm2.I (wd:Q104725195): folder of the 20th Century Press Archives

[Tool]
Got 1 row and 3 columns:
| subject                     | property                                                    | object                  |
| --------------------------- | ----------------------------------------------------------- | ----------------------- |
| Hamburg Airport (wd:Q27706) | located in the administrative territorial entity (wdt:P131) | Hamburg-Nord (wd:Q1627) |

[Tool]
Top 10 entity alternatives:
1. Hamburg, also known as Free and Hanseatic City of Hamburg, Hamburg, Germany, Hamburg, Freie und Hansestadt (wd:Q1055): city and state in the North of Germany
2. Hamburger SV, also known as Hamburg SV, HSV, H.S.V., Hamburg Sport Club, HamburgerSV (wd:Q51974): German sports club based in Hamburg, with its largest branch being its football department
3. Hamburg, also known as Hamburg, IA, Hamburg, Iowa (wd:Q998718): city in Fremont County, Iowa, United States
4. Hamburg, also known as Hamburg, AR, Hamburg, Arkansas (wd:Q79657): city in Ashley County, Arkansas, United States
5. Hamburg, also known as Hamburg, Minnesota, Hamburg, MN (wd:Q1005682): city in Carver County, Minnesota, United States
6. Hamburg, also known as Hamburg, New Jersey, Hamburg, NJ (wd:Q1082931): borough in Sussex County, New Jersey, United States
7. Hamburg, also known as Hamburg, New York, Hamburg, NY (wd:Q742785): town in Erie County, New York, United States
8. Hamburg, also known as Hamburg, IL (wd:Q2672139): village in Calhoun County, Illinois, United States
9. Hamburg, also known as Hamburg, PA, Hamburg, Pennsylvania (wd:Q1181264): borough in Berks County, Pennsylvania, United States
10. Hamburg, also known as Hamburgh (wd:Q939795): breed of chicken developed in Germany and Holland prior to 1700

[Tool]
Got 2 rows and 3 columns:
| subject                     | property              | object                             |
| --------------------------- | --------------------- | ---------------------------------- |
| Hamburg Airport (wd:Q27706) | instance of (wdt:P31) | international airport (wd:Q644371) |
| Hamburg Airport (wd:Q27706) | instance of (wdt:P31) | commercial airport (wd:Q21836433)  |

[Tool]
Got 2 rows and 3 columns:
| subject                                   | property              | object                                |
| ----------------------------------------- | --------------------- | ------------------------------------- |
| Hamburg Finkenwerder Airport (wd:Q663819) | instance of (wdt:P31) | factory (wd:Q83405)                   |
| Hamburg Finkenwerder Airport (wd:Q663819) | instance of (wdt:P31) | German special airfield (wd:Q2301048) |

[Tool]
Got 2 rows and 3 columns:
| subject                                   | property                                                    | object                   |
| ----------------------------------------- | ----------------------------------------------------------- | ------------------------ |
| Hamburg Finkenwerder Airport (wd:Q663819) | located in the administrative territorial entity (wdt:P131) | Harburg (wd:Q1635)       |
| Hamburg Finkenwerder Airport (wd:Q663819) | located in the administrative territorial entity (wdt:P131) | Hamburg-Mitte (wd:Q1626) |

[Tool]
Got 1 row and 2 columns:
| airport                     | airportLabel         |
| --------------------------- | -------------------- |
| Hamburg Airport (wd:Q27706) | Hamburg Airport (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?date WHERE {
  wd:Q15787 wdt:P575 ?date .
}

HIV was first identified in 1983 (P575: 1983-01-01T00:00:00Z).

[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 was HIV first identified?

[Tool]
Top 10 entity alternatives:
1. HIV, also known as AIDS virus, human immunodeficiency virus (wd:Q15787): human retrovirus, cause of AIDS
2. Hiv (wd:Q5959052): village in Iran
3. .hiv (wd:Q20573587): top level domain
4. human immunodeficiency virus infectious disease, also known as HIV+, HIV infection, HIV infections, HIV-positive (wd:Q18556697): disease affecting the human immune system
5. HIV/AIDS in Ethiopia, also known as HIV (wd:Q65409016): Ethiopia faces an epidemic among sub-populations and geographic areas
6. HyperChem Input File, also known as HIV, .hin, HyperChem molecule file format, HIV molecule file format (wd:Q28530466): file format
7. HIV (wd:Q87558374): scientific article published on 01 August 2014
8. HIV (wd:Q93531156)
9. HIV. (wd:Q43247940): scientific article published in February 1998
10. HIV. (wd:Q45982420): scientific article published in February 2001

[Tool]
Top 10 property alternatives:
1. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as p/wdt): date or point in time when the item was discovered or invented
2. pronunciation audio, also known as listen, audio pronunciation (wd:P443 as p/wdt): audio file with pronunciation, audio
3. 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).
4. 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
5. 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)
6. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as p/wdt): effect of this item, followed by
7. on focus list of Wikimedia project, also known as WikiProject, Wikimedia project focus list, part of Wikimedia project, item created or edited for Wikimedia project, item created or edited as part of Wikimedia project (wd:P5008 as p/wdt): property to indicate that an item is of particular interest for ... they are not notable for Wikidata. See also P6104, P972, P2354.
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as p/wdt/wdtn): identifier from an international authority file of names, subjects, and organizations
10. external data available at URL, also known as data, external data URL, URL with external data (wd:P1325 as p/wdt): URL where external data on this item can be found

No other items found

[Tool]
Got 1 row and 3 columns:
| subject         | property                                  | object                              |
| --------------- | ----------------------------------------- | ----------------------------------- |
| HIV (wd:Q15787) | time of discovery or invention (wdt:P575) | 1983-01-01T00:00:00Z (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 ?developer ?developerLabel WHERE {
  wd:Q533822 wdt:P178 ?developer .
  OPTIONAL {
    ?developer rdfs:label ?developerLabel .
    FILTER ( LANG( ?developerLabel ) = "en" )
  }
}

The query returns Christiane Fellbaum (wd:Q4558744) as the developer of WordNet.

[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] Who developed WordNet?

[Tool]
Top 10 entity alternatives:
1. WordNet, also known as Princeton WordNet (wd:Q533822): Princeton University's computational lexicon of English, a seman...nodes connected by hypernymy, hyponymy, holonymy, meronymy, etc.
2. word net, also known as wordnet (wd:Q2594143): network of words connected by semantic relationships (synonyms, antonyms, hypernyms, hyponyms, meronyms, holonyms)
3. WordNet (wd:Q125949755)
4. WordNet (wd:Q98000414): chapter in book from 2010
5. WordNet: An Electronic Lexical Database, also known as WordNet, WordNet.  An  Electronic Lexical Database (wd:Q35839029): book edition published in 1998 with Fellbaum as editor
6. Arabic WordNet, also known as AWN (wd:Q28136431)
7. Estonian Wordnet (wd:Q31277898)
8. Malayalam WordNet (wd:Q25112033): WordNet for Malayalam language by CUSAT
9. Chinese WordNet, also known as CWN (wd:Q65924663): Huang et al. wordnet in Chinese
10. GF WordNet (wd:Q112258758): a lexical resource which combines WordNet resources from many languages and makes them compatible within GF

[Tool]
Top 10 property alternatives:
1. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as p/wdt): organization or person that developed the item, creator
2. software version identifier, also known as software release number, software version number, software release version, software update identifier, software update number (wd:P348 as p/wdt): numeric or nominal identifier of a version of a software program or file format, current or past, has edition or translation, edition number
3. used by, also known as armiger, user, played by, of (wd:P1535 as p/wdt): item or concept that makes use of the subject (use sub-properties when appropriate)
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
5. copyright license, also known as content licence, content license, copyright licence, licence, license (wd:P275 as p/wdt): license under which this copyrighted work is released
6. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
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)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject              | property             | object                            |
| -------------------- | -------------------- | --------------------------------- |
| WordNet (wd:Q533822) | developer (wdt:P178) | Christiane Fellbaum (wd:Q4558744) |

[Tool]
Got 1 row and 2 columns:
| developer                         | developerLabel           |
| --------------------------------- | ------------------------ |
| Christiane Fellbaum (wd:Q4558744) | Christiane Fellbaum (en) |

[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 ?highestPoint ?highestPointLabel WHERE {
  wd:Q20 wdt:P610 ?highestPoint .
  OPTIONAL {
    ?highestPoint rdfs:label ?highestPointLabel .
    FILTER ( LANG( ?highestPointLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| highestPoint              | highestPointLabel |
| ------------------------- | ----------------- |
| Galdhøpiggen (wd:Q203942) | Galdhøpiggen (en) |

The highest point of Norway (wd:Q20) is Galdhøpiggen (wd:Q203942).

[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 highest point of Norway?

[Tool]
Top 10 property alternatives:
1. highest point, also known as tallest point, zenith, summit, pinnacle, highest peak (wd:P610 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): point with highest elevation in a region or path, has part(s)
2. maximum operating altitude, also known as ceiling, maximum altitude, service ceiling (wd:P2254 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): ceiling or maximum density altitude at which an aircraft can operate, elevation above sea level
3. maximum temperature record, also known as highest temperature (wd:P6591 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): maximum temperature reached at this location, temperature
4. 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
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. coordinates of northernmost point, also known as coordinate of northernmost point, extreme point north, farthest north, most northerly, northerly (wd:P1332 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): northernmost point of a location. For an administrative entity this includes offshore islands
7. coordinates of westernmost point, also known as westerly point, wikibase:geoLongitude ?W, westernmost point coordinates, most western, extreme west (wd:P1335 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): westernmost point of a location
8. maximum sustained winds, also known as strongest sustained winds, wind speed, sustained winds, maximum wind speed, highest wind speed (wd:P2895 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): maximum sustained wind evaluated by agency
9. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): subject's ordinal position as qualitatively evaluated relative to other members of a group
10. coordinates of easternmost point, also known as coordinate of easternmost point, easterly, easternmost point coordinates, extreme point east, farthest east (wd:P1334 as psv/prn/p/pr/ps/pq/wdt/pqn/prv/psn/pqv/wdtn): easternmost point of a location

[Tool]
Top 10 entity alternatives:
1. Norway, also known as Kingdom of Norway (wd:Q20): country in Northern Europe
2. Norway, also known as Norway, Iowa, Norway, IA (wd:Q1913264): city in Iowa, United States
3. Norway, also known as Norway, MI, Norway, Michigan (wd:Q2480177): city in Dickinson County, Michigan, United States
4. Norway, also known as Norway, SC, Norway, South Carolina (wd:Q3243583): town in South Carolina
5. Kingdom of Norway, also known as Norway, Norwegian Empire (wd:Q2196956): former Kingdom from 872 to 1397
6. Norway, also known as Norway, Maine, Norway, ME (wd:Q2734330): town in Maine, USA
7. Norway, also known as Norway, IN, Norway, Indiana (wd:Q2118814): census-designated place in Indiana
8. Kingdom of Norway, also known as Norway, Norwegian Kingdom (wd:Q2597352): short-lived monarchy in Northern Europe (1814)
9. Norway, also known as Norway, New York, Norway, NY (wd:Q944765): town in New York, USA
10. Norway, also known as Norway, WI (wd:Q3046928): town in Wisconsin, USA

[Tool]
Got 1 row and 1 column:
| point                     |
| ------------------------- |
| Galdhøpiggen (wd:Q203942) |

[Tool] Stopped generation process