PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?award ) AS ?count ) WHERE {
  wd:Q242643 wdt:P166 ?award .
  ?award wdt:P31 wd:Q194285 .
}

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

Naomi Novik won the Nebula Award 1 time.

[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 often did Naomi Novik win the nebula award?

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

[Tool]
Example 1:
Question:
Give me all Dutch parties.

SPARQL:
SELECT ?s1 WHERE {
  ?s1 wdt:P17 wd:Q55 .
  ?s1 wdt:P31 wd:Q7278 .
}

Using entities:
Netherlands, also known as 🇳🇱, the Netherlands, NL, nl, NED (wd:Q55): country in Northwestern Europe with territories in the Caribbean
political party, also known as political parties, parties (politics), party (politics), parties in politics, party in politics (wd:Q7278): organization that seeks to influence government policy and actio...nd be elected to directly take part on government or legislation

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
In which city is the headquarter of Air China?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q51747 wdt:P159 ?uri
}

Using entities:
Air China, also known as CCA, Air China Limited, CA (wd:Q51747): flag carrier of the People's Republic of China

Using properties:
headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place

Example 3:
Question:
What are the official languages of the Philippines?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q928 wdt:P37 ?uri .
}

Using entities:
Philippines, also known as ph, The Philippines, RP, Republic of the Philippines, Philippine Islands (wd:Q928): archipelagic country in Southeast Asia

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

[Assistant] The examples show how to query for awards won by an entity by using the entity and the property for awards. Now, I will search for the entity "Naomi Novik" in Wikidata to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Naomi Novik (wd:Q242643): science fiction writer, American writer, fantasy author, programmer, novelist, writer
2. Naomi (wd:Q2596433): Ruth's mother-in-law in the Book of Ruth
3. Naomi, also known as Trinity Starr, Trinity Fatu, Trinity, Nalgomi, Naomi Knight (wd:Q3119295): American professional wrestler, professional wrestler, celebrity, dancer, model
4. 6139 Naomi, also known as Naomi (wd:Q553669): asteroid
5. Naomi, also known as Naomi, PA, Naomi, Pennsylvania (wd:Q6964608): settlement in Pennsylvania, US
6. Naomi (wd:Q108444706): American television series
7. Novik (wd:Q1547078): 1911 Russian destroyer
8. Naomi, also known as Naomi (first name), Naomi (given name) (wd:Q18508449): female given name
9. Naomi (wd:Q6964620): novel by Junichiro Tanizaki
10. Naomi, also known as Florin Moldovan (wd:Q22957923): Romanian recording artist, songwriter and actress, songwriter, singer, actor

[Assistant] The entity for Naomi Novik is wd:Q242643. Next, I will search for properties related to the Nebula Award to find the appropriate property for awards or wins related to the Nebula Award.

[Tool]
Top 10 entity alternatives:
1. Nebula Award (wd:Q194285): literature prize for science fiction and fantasy works from the United States
2. Xingyun Award, also known as Chinese Nebula Award, World Chinese Science Fiction Association (wd:Q10891657): Chinese literary award
3. Nebula Awards 22, also known as Nebula Award Showcase (wd:Q30078063): 1988 anthology edited by George Zebrowski
4. Nebula Awards Showcase, also known as Nebula Winners, Nebula Award Stories (wd:Q28419278): series of annual science fiction and fantasy anthologies
5. Nebula Anthologies, also known as Nebula Award anthologies (wd:Q81185197): anthologies of Nebula-winning short fiction, along with a select...nners-up, published roughly annually since the award's inception
6. Nebula Award Weekend (wd:Q130712827): science fiction convention
7. Nebula Awards Weekend (wd:Q6985281)
8. Nebula Awards 20 (wd:Q30078081): 1985 anthology edited by George Zebrowski
9. Nebula Awards 21 (wd:Q30078078): 1986 anthology edited by George Zebrowski
10. Nebula Awards 23 (wd:Q30078049): 1989 anthology edited by Michael Bishop

[Assistant] The Nebula Award entity is wd:Q194285. Now, I will search for properties related to awards or wins for Naomi Novik (wd:Q242643) to find the property that indicates winning the Nebula Award.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
9. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
10. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation

No other items found

[Assistant] The property "award received" (wdt:P166) is the relevant property for awards or wins. Now, I will write a SPARQL query to count how many times Naomi Novik (wd:Q242643) won the Nebula Award (wd:Q194285) using the property "award received" (wdt:P166).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of times Naomi Novik has won the Nebula Award by checking the awards she received (wdt:P166) and filtering for instances of the Nebula Award (wd:Q194285). The query returns the count as 1, which matches the provided answer. The query follows best practices by returning the count directly and uses appropriate properties and entities. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q1211977 wdt:P170 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| creator                      | creatorLabel        |
| ---------------------------- | ------------------- |
| Michael Jacobs (wd:Q3308269) | Michael Jacobs (en) |
| Bob Young (wd:Q4934478)      | Bob Young (en)      |

The creators of the Dinosaurs TV show (wd:Q1211977) are Michael Jacobs and Bob Young.

[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 is the creator of the Dinosaurs tv show ?

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

[Tool]
Example 1:
Question:
Who is the mayor of Paris?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q90 wdt:P6 ?uri .
}

Using entities:
Paris, also known as City of Love, Lutetia, City of Light (wd:Q90): capital city and largest city of France

Using properties:
head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

Example 2:
Question:
What languages are spoken in Pakistan?

SPARQL:
SELECT * {
  wd:Q843 wdt:P2936 ?uri .
}

Using entities:
Pakistan, also known as Islamic Republic of Pakistan, PAK, pk, Republic of Pakistan (wd:Q843): sovereign state in South Asia

Using properties:
language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as wdt): language widely used (spoken or written) in this place or at this event or organisation

Example 3:
Question:
Who were the parents of Queen Victoria?

SPARQL:
SELECT ?uri WHERE {
  wd:Q9439 ?childof ?uri .
  VALUES ?childof {
    wdt:P22 wdt:P25
  }
}

Using entities:
Victoria, also known as Victoria, Queen of Great Britain, Victoria of the United Kingdom, Victoria Hanover, Alexandrina Victoria von Hannover, Victoria Alexandrina (wd:Q9439): Queen of the United Kingdom from 1837 to 1901, monarch

Using properties:
father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent

[Assistant] I will now search for the entity "Dinosaurs tv show" to find the exact entity representing this TV show in Wikidata.

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant] The search results did not directly return an entity specifically named "Dinosaurs tv show." I will try a more general search for "Dinosaurs" to see if the TV show is listed under that name.

[Tool]
Top 10 entity alternatives:
1. dinosaur, also known as dino, Dinosauria, dinosaurs (wd:Q430): clade of archosaurian reptiles (Archosauria)
2. Dinosaurs (wd:Q1211977): television program
3. Dinosaurs, also known as Dinosaurs: The Most Complete, Up... for Dinosaur Lovers of All Ages (wd:Q5186590): book by Thomas R. Holtz, Jr.
4. Dinosaurs (wd:Q18351859): 1987 novelette by Walter Jon Williams
5. Dinosaurs (wd:Q28419612): anthology of science fiction short works
6. Dinosaurs! (wd:Q28401115): 1990 anthology
7. Dinosaurs (wd:Q97359951): 2018 song by Australian musician Ruby Fields
8. Dinosaurs (wd:Q120970468): 2023 Indian Tamil-language action film by M. R. Madhavan
9. Dinosaurs (wd:Q58999596): scientific article published in Nature
10. Dinosaurs (wd:Q93927541): scholarly article authored by James Willis and published in British Journal of General Practice in 2007

[Assistant] The entity "Dinosaurs" with the identifier wd:Q1211977 is described as a television program. This is likely the TV show "Dinosaurs" that the user is referring to. Next, I will search for the property that indicates the creator of a TV show.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): founder or co-founder of this organization, religion, place or entity, creator
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): maker of this creative work or other object (where no more specific property exists)
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): notable scientific, artistic or literary work, or other work of significance among subject's works
7. possible creator, also known as creator (possible), attributed to (wd:P1779 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): for a creative work with considerable uncertainty about the author
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): organization or person that developed the item, creator
9. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): text through which an institution or object has been created or established

[Assistant] The property "creator" (wdt:P170) is used for the maker of a creative work, which fits the context of a TV show creator. I will now write a SPARQL query to find the creator of the TV show "Dinosaurs" (wd:Q1211977).

[Tool]
Got 2 rows and 2 columns:
| creator                      | creatorLabel        |
| ---------------------------- | ------------------- |
| Michael Jacobs (wd:Q3308269) | Michael Jacobs (en) |
| Bob Young (wd:Q4934478)      | Bob Young (en)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the creators of the Dinosaurs TV show using the property wdt:P170 (creator). It returns both the identifiers and English labels of the creators, which are Michael Jacobs and Bob Young. The answer is accurate and complete based on the query results. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?location ?locationLabel WHERE {
  wd:Q551416 wdt:P276 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

The Hambach Festival happened at Hambach Castle.

[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] Where did the Hambach Festival happen?

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

[Tool]
Example 1:
Question:
Who is the governor of Texas?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1439 wdt:P1313 wd:Q5589725 .
  wd:Q5589725 wdt:P1308 ?uri .
}

Using entities:
Texas, also known as Lone Star State, US-TX, TX, Texas, United States, Tex. (wd:Q1439): state of the United States of America
Governor of Texas, also known as Governor of the State of Texas, Texas Governor (wd:Q5589725): head of state and of government of the U.S. state of Texas

Using properties:
position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as wdt): persons who hold and/or held the position
office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as wdt): political office that is fulfilled by the head of the government of this item

Example 2:
Question:
What is the revenue of IBM?

SPARQL:
SELECT ?o1 WHERE {
  wd:Q37156 wdt:P2139 ?o1 .
}

Using entities:
IBM, also known as 18M, International Business Machines Corporation (Armonk, NY), International Business Machines Corporation, IBM Corporation, IBM Corp. (wd:Q37156): American multinational technology corporation

Using properties:
total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue

Example 3:
Question:
how much is the population densty rank of germany?

SPARQL:
SELECT ( COUNT( DISTINCT ?country ) as ?cnt ) {
  ?country wdt:P31 wd:Q6256 ; wdt:P1082 ?population ; wdt:P2046 ?area .
  wd:Q183 wdt:P1082 ?germanPopulation .
  wd:Q183 wdt:P2046 ?germanArea .
  BIND( ( ?population / ?area ) AS ?density ) BIND( ( ?germanPopulation / ?germanArea ) AS ?germanDensity ) FILTER ( ?density > ?germanDensity )
}

Using entities:
Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
country, also known as countries (wd:Q6256): distinct territorial body or political entity

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject
area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt): area occupied by an object
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] The question is about the location where the Hambach Festival happened. First, I need to identify the entity "Hambach Festival" in Wikidata. Then, I will look for properties related to the location or place of the event. I will start by searching for the entity "Hambach Festival."

[Tool]
Top 10 entity alternatives:
1. Hambach Festival (wd:Q551416): 1832 German festival
2. festival, also known as biennale, Fiesta Day, festivity, festival series, feast (wd:Q132241): organized set of events or activities focused on a theme (cultur...e.g. once a year) and lasts anywhere from several hours to weeks
3. party, also known as celebration, feast, festival, festivity, gala (wd:Q200538): social event
4. Hambach (wd:Q22391): commune in Moselle, France
5. Hambach, also known as Hambach (Diez) (wd:Q566907): municipality of Germany
6. Festival (wd:Q2443739): 1977 album from Santana
7. 120460 Hambach, also known as Hambach (wd:Q2641077): asteroid
8. Festival, also known as Festival Mushroom Records, Festival Records, FMR (wd:Q5445732): Australian record label
9. Festival (wd:Q5445695): 1996 South Korean drama film directed by Im Kwon-taek
10. Bumbershoot, also known as Seattle Arts Festival, Seattle Festival for the Arts, Mayor's Arts Festival, Festival, Bumbershoot: Seattle's Music & Arts Festival (wd:Q4997241): annual music and arts festival in Seattle, Washington, USA

[Assistant] The Hambach Festival corresponds to the entity wd:Q551416 in Wikidata. Now, I will search for properties related to the location or place of the event for this entity. I will search for properties of the Hambach Festival entity with the query "location" or "place."

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): 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. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
3. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
4. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
5. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/p): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdt/wdtn/p): identifier from an international authority file of names, subjects, and organizations
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as wdt/wdtn/p): identifier for an item in FactGrid
10. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdt/p): topic of which this item is an aspect; item that offers a broader perspective on the same topic

No other items found

[Assistant] The property "location" (wdt:P276) is the most relevant property for the location or place of the Hambach Festival (wd:Q551416). I will now write a SPARQL query to get the location where the Hambach Festival happened.

[Tool]
Got 1 row and 2 columns:
| location                    | locationLabel       |
| --------------------------- | ------------------- |
| Hambach Castle (wd:Q523286) | Hambach Castle (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the location of the Hambach Festival using the property P276 (location). The result identifies Hambach Castle as the location, which matches the known historical fact. The query also includes an optional label retrieval for better readability. The answer is accurate and complete for the user's question.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?domain ?domainLabel WHERE {
  wd:Q167685 wdt:P2925 ?domain .
  OPTIONAL {
    ?domain rdfs:label ?domainLabel FILTER ( LANG( ?domainLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| domain                    | domainLabel     |
| ------------------------- | --------------- |
| corridor (wd:Q1135449)    | corridor (en)   |
| time (wd:Q11471)          | time (en)       |
| dualism (wd:Q167312)      | dualism (en)    |
| doorway (wd:Q21263223)    | doorway (en)    |
| beginning (wd:Q529711)    | beginning (en)  |
| gate (wd:Q53060)          | gate (en)       |
| transition (wd:Q59627780) | transition (en) |
| sowing (wd:Q777671)       | sowing (en)     |

Janus was the god of corridor, time, dualism, doorway, beginning, gate, transition, and sowing.

[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 was Janus the god of?

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

[Tool]
Example 1:
Question:
How many airlines are members of the Star Alliance?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) as ?c ) WHERE {
  ?uri wdt:P114 wd:Q189709 .
}

Using entities:
Star Alliance, also known as Star Alliance Services (wd:Q189709): airline alliance headquartered in Frankfurt, Germany

Using properties:
airline alliance (wd:P114 as wdt): alliance the airline belongs to, member of

Example 2:
Question:
Which building after the Burj Khalifa has the most floors?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q12495 wdt:P1101 ?bkFloors .
  ?uri wdt:P1101 ?otherFloors .
  FILTER ( ?otherFloors > ?bkFloors )
}
ORDER BY ?otherFloors
LIMIT 1

Using entities:
Burj Khalifa, also known as 1 Sheikh Mohammed bin Rashid Boulevard, Burj Dubai, Khalifa Tower (wd:Q12495): skyscraper in Dubai, United Arab Emirates

Using properties:
floors above ground, also known as floor count, stories, storeys, number of floors, levels above ground (wd:P1101 as wdt): above ground floor count of a building (ground floor and attic included)

Example 3:
Question:
Which book has the most pages?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 / wdt:P279 * wd:Q571 .
  ?uri wdt:P1104 ?number .
}
ORDER BY DESC ( ?number )
LIMIT 1

Using entities:
book, also known as books (wd:Q571): medium for recording information (words or images) typically on bound pages or more abstractly in electronic or audio form

Using properties:
number of pages, also known as pagination, pp, pages, page count, numpages (wd:P1104 as wdt): number of pages in an edition of a written work; see allowed uni...t for valid values to use for units in conjunction with a number, number of parts of this work
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
The question is "What was Janus the god of?" We want to find the entity for Janus and then find the property that indicates what he was the god of.

Step 1: Search for the entity "Janus" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Janus, also known as Ianus Quadrifrons, Ianus, Ianus Bifrons, Ianuspater (wd:Q167685): Roman deity
2. Janus, also known as Saturn X, S/1979 S 2, S/1980 S 2, S/1966 S 2, S/1980 S 1 (wd:Q17754): moon of Saturn
3. Alec Trevelyan, also known as 006, Janus (wd:Q2832397): Bond Villain, terrorist, 00 Agent
4. Princess (chess), also known as janus, princess, NB, knight+bishop compound, knight–bishop compound (wd:Q646328): fairy chess piece that can move like a bishop or a knight
5. Janus (wd:Q14499258): genus of sawflies
6. Janus (wd:Q314214): German musical group
7. Janus (wd:Q38360520): two-headed tortoise
8. Janus, also known as Janus (first name), Janus (given name) (wd:Q12319119): male given name
9. Janus (wd:Q17015237): album by Boyfriend
10. Janus, also known as Aurora (wd:Q6155938): science fiction fanzine produced by Janice Bogstad and Jeanne Gomoll

[Assistant] The entity "Janus" as a Roman deity is wd:Q167685. Now, let's find properties related to what Janus was the god of. We can search for properties of the entity wd:Q167685 with a query like "god of" or "domain".

[Tool]
Top 10 property alternatives:
1. domain of saint or deity, also known as saint or deity domain, divine patron, sacred domain, patron saint of, patron of (wd:P2925 as wdt/p): domain(s) which this saint or deity controls or protects
2. worshipped by, also known as deity of (wd:P1049 as wdt/p): religion or group/civilization that worships a given deity, part of
3. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/p): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
4. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as wdt/p): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
5. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/p): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdt/p): object depicting this subject (object being creative works such as books, films, paintings)
7. iconographic symbol, also known as attribute, has attribute (wd:P4185 as wdt/p): identifying element typically depicted as accompanying or worn by this religious figure, hero, fictional or historical character
8. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdt/p): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. Hederich encyclopedia article, also known as Hederich article, Gründliches mythologisches Lexikon ID (wd:P2272 as wdt/p): entry in Hederich’s encyclopedia of mythology, 3rd edition (1770), via zeno.org

No other items found

[Assistant] The property "domain of saint or deity" (wdt:P2925) seems to be the most relevant for what Janus was the god of. Let's query the value of this property for Janus (wd:Q167685).

[Tool]
Got 8 rows and 2 columns:
| domain                    | domainLabel     |
| ------------------------- | --------------- |
| corridor (wd:Q1135449)    | corridor (en)   |
| time (wd:Q11471)          | time (en)       |
| dualism (wd:Q167312)      | dualism (en)    |
| doorway (wd:Q21263223)    | doorway (en)    |
| beginning (wd:Q529711)    | beginning (en)  |
| gate (wd:Q53060)          | gate (en)       |
| transition (wd:Q59627780) | transition (en) |
| sowing (wd:Q777671)       | sowing (en)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the domains associated with Janus as a deity using the property 'domain of saint or deity' (wdt:P2925). The query returns the expected domains such as corridor, time, dualism, doorway, beginning, gate, transition, and sowing, which aligns well with the known attributes of Janus. The answer is complete and accurate based on the data retrieved from Wikidata. The query also correctly includes labels for readability without affecting the core identifiers in the results. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?workLocation ) AS ?count ) WHERE {
  wd:Q153793 wdt:P937 ?workLocation .
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 12 (xsd:int) |

Georges Braque has worked at 12 distinct locations according to the work location property in Wikidata.

[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 locations has Georges Braque worked at (work location)?

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

[Tool]
Example 1:
Question:
List all the musicals with music by Elton John.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 / wdt:P279 * wd:Q58483083 ; wdt:P86 wd:Q2808 .
}

Using entities:
Elton John, also known as Reggie Dwight, Rockaday Johnnie, Reg Dwight, Prince Rhino, Sir Elton Hercules John (wd:Q2808): British singer, songwriter and musician, HIV/AIDS activist, recording artist, keyboardist, film actor, composer, musician, lyricist, pianist, singer
dramatico-musical work, also known as musico-dramatic work, dramatic-musical work, dramatic musical work (wd:Q58483083): opera, musical play or show, revue or pantomime for which music ...ecially written; for ballet use "choreographic work" (Q58483088)

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator

Example 2:
Question:
Where did Abraham Lincoln die?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q91 wdt:P20 ?uri .
}

Using entities:
Abraham Lincoln, also known as President Lincoln, Uncle Abe, Honest Abe, Abe Lincoln (wd:Q91): president of the United States from 1861 to 1865, military officer, statesperson, postmaster, politician, farmer, writer, lawyer

Using properties:
place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location

Example 3:
Question:
In which country does the Nile start?

SPARQL:
SELECT DISTINCT ?res WHERE {
  wd:Q3392 wdt:P885 / wdt:P17 ?res .
}

Using entities:
Nile, also known as Bahr en Nīl, Nahr an Nil, Nahr an Nīl, Nile River, Nīl River (wd:Q3392): major river in northeastern Africa

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as wdt): main source of a river, stream or lake

[Assistant]
From the examples, I see that to find locations where a person worked, we need to identify the entity for Georges Braque and the property for "work location."

Step 1: Search for the entity "Georges Braque" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Georges Braque, also known as george braque, George Braque, George B., Giorgio Braque, S Braque (wd:Q153793): French painter and sculptor (1882-1963), jewelry designer, scenographer, lithographer, draftsperson, printmaker, collagist, sculptor, designer, painter, artist
2. Georges Braque (wd:Q3102361): 1950 film by André Bureau
3. Braque, Georges (wd:Q103894433): encyclopedia article
4. Braque, Georges (wd:Q104007781)
5. Georges Braque (wd:Q110890954): 1949 exhibition at Museum of Modern Art
6. Georges Braque (wd:Q19887374): painting by René Robert Bouché
7. Georges Braque (wd:Q60308502): exhibition in Paris in 1908
8. Georges Braque (wd:Q60400752): 1919 exhibition in Paris
9. Georges Braque (wd:Q79875976): photograph by Man Ray (American, 1890-1976) (2019.26)
10. allée Georges Braque (wd:Q113370081): alley in La Courneuve, France

[Assistant] The entity for Georges Braque as a French painter and sculptor is wd:Q153793. Next, I will search for properties related to "work location" for this entity.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdt/p): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
3. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
4. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
5. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as wdt/p): professional collaborator, significant person
6. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdt/p): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
7. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as wdt/p): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
8. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as wdt/p): collection that has works of this person or organisation (use archives at [P485] for archives)
9. BAnQ authority ID, also known as B2Q author ID, B2Q authority ID, B2Q subject ID, B2Q work ID, BanQ ID (wd:P3280 as wdt/p): identifier for an authority record for authors, works, and subje...ngs in the Bibliothèque et Archives nationales du Québec (BAnQ).
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant] The property "work location" (wdt:P937) is the correct property for locations where persons worked. Now I will write a SPARQL query to count the number of distinct work locations for Georges Braque (wd:Q153793).

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 12 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the distinct work locations (wdt:P937) for Georges Braque (wd:Q153793) and returns the count as 12. The query follows the rules by returning the count directly and uses the appropriate property and entity. The answer is clear, concise, and matches the query result. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?official_website WHERE {
  wd:Q30588383 wdt:P856 ?official_website .
}

The official website of NPR's Tiny Desk Concert is https://www.npr.org/series/tiny-desk-concerts/.

[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 website of NPR's “Tiny Desk Concert”?

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

[Tool]
Example 1:
Question:
Who wrote the book The pillars of the Earth?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1163227 wdt:P50 ?uri .
}

Using entities:
The Pillars of the Earth, also known as The Pillars of the Earth (Kingsbridge, #1) (wd:Q1163227): 1989 novel by Ken Follett

Using properties:
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator

Example 2:
Question:
How many programming languages are there?

SPARQL:
SELECT ( COUNT( DISTINCT ?sub ) AS ?count ) WHERE {
  ?sub wdt:P31 / wdt:P279 * wd:Q9143 .
}

Using entities:
programming language, also known as coding language, computer language, computer programming, computer programming language (wd:Q9143): language for communicating instructions to a machine

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Which classes does the Millepede belong to?

SPARQL:
SELECT ?uri WHERE {
  wd:Q11185669 wdt:P279 ?uri .
}

Using entities:
millipede (wd:Q11185669): common name of myriapods

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

[Assistant] I have seen from the examples that to find the website of an entity, we need to find the entity first and then find the property for the official website. Now I will search for the entity "NPR's Tiny Desk Concert" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. NPR Tiny Desk Concerts (wd:Q30588383): video series of concerts held by NPR Music
2. Tiny Desk Concerts - Audio (wd:Q101367084): podcast from NPR
3. concert, also known as gig, live music, live concert (wd:Q182832): live performance of music
4. Nepalese rupee, also known as NPR, Rupee (1932-date) (wd:Q202895): Currency of Nepal
5. desk (wd:Q1064858): case furniture used as a worksurface, often in a home or office setting
6. concerto, also known as Concert (wd:Q9748): musical composition usually in three parts
7. NPR, also known as National Public Radio (wd:Q671510): American nonprofit media organization
8. Le Concert, also known as Concert (wd:Q1169399): 2009 film by Radu Mihăileanu
9. non-photorealistic rendering, also known as NPR (wd:Q259326): computer-graphics-rendering technique that does not aim toward photorealism
10. The Concert, also known as Concert (wd:Q20077964): 1921 film by Victor Schertzinger

[Assistant] The entity "NPR Tiny Desk Concerts" corresponds to wd:Q30588383 which is a video series of concerts held by NPR Music. Now I will search for the property that represents the official website of this entity.

[Tool]
Top 10 property alternatives:
1. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): 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
2. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
5. list of episodes, also known as episodes list, episode list (wd:P1811 as wdt/p): link to the article with the list of episodes for this series, has list
6. YouTube playlist ID, also known as playlist YouTube, YouTube Music Playlist ID, YT playlist (wd:P4300 as wdt/p): identifier for a playlist (official) on YouTube containing videos for this item
7. MusicBrainz series ID, also known as MBS, MB series ID, MusicBrainz ID, Series ID, Series MBID (wd:P1407 as wdt/wdtn/p): identifier for a series per the MusicBrainz open music encyclopedia
8. Google Knowledge Graph ID, also known as MREID, Google Knowledge Panel ID, Google knowledge panel, kgmid (wd:P2671 as wdt/wdtn/p): identifier for Google Knowledge Graph API, starting with "/g/". For IDs starting with "/m/", use Freebase ID (P646)

No other items found

[Assistant] The property for the official website is wdt:P856. Now I will write a SPARQL query to get the official website of NPR Tiny Desk Concerts (wd:Q30588383).

[Tool]
Got 1 row and 1 column:
| official_website                                 |
| ------------------------------------------------ |
| <https://www.npr.org/series/tiny-desk-concerts/> |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official website (wdt:P856) of the NPR Tiny Desk Concerts (wd:Q30588383) from Wikidata. The returned URL matches the known official website for the Tiny Desk Concert series. The query is simple, precise, and returns the expected result. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?officialLanguage ?officialLanguageLabel WHERE {
  wd:Q794 wdt:P37 ?officialLanguage .
  OPTIONAL {
    ?officialLanguage rdfs:label ?officialLanguageLabel FILTER ( LANG( ?officialLanguageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| officialLanguage   | officialLanguageLabel |
| ------------------ | --------------------- |
| Persian (wd:Q9168) | Persian (en)          |

The official language of Iran is Persian.

[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 official language of iran?

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

[Tool]
Example 1:
Question:
How many children did Benjamin Franklin have?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) as ?c ) WHERE {
  wd:Q34969 wdt:P40 ?uri .
}

Using entities:
Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Ben Franklin, Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer

Using properties:
child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative

Example 2:
Question:
Who was the father of Queen Elizabeth II?

SPARQL:
SELECT ?uri WHERE {
  wd:Q9682 wdt:P22 ?uri .
}

Using entities:
Elizabeth II, also known as Her Royal Highness The Princess Elizabeth of the United Kingdom, HM Queen Elizabeth II, Lilibet, Princess Elizabeth, Duchess of Edinburgh, Princess Elizabeth of York (wd:Q9682): Queen of the United Kingdom from 1952 to 2022, monarch

Using properties:
father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent

Example 3:
Question:
Who created Batman?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q2695156 wdt:P170 ?uri .
}

Using entities:
Batman, also known as the Bat-Man, the Batman, the Caped Crusader, the Bat, Sir Hemingford Grey (wd:Q2695156): fictional character in DC Comics, chief executive officer, businessperson, martial artist, philanthropist, vigilante, detective, superhero

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)

[Assistant]
The question is about the official language of Iran. To answer this, I need to identify the entity for Iran and the property that represents the official language of a country.

Step 1: Search for the entity "Iran" in Wikidata.
Step 2: Search for properties related to "official language" or "language" that could be used for a country.

I will start with step 1 and search for the entity "Iran".

[Tool]
Top 10 entity alternatives:
1. Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia
2. Qajar Iran, also known as Guarded Domains of Persia, Sublime State of Persia, Qajar Persia, Persia, Iran (wd:Q63158027): country in Western Asia (1789–1925)
3. Iran (wd:Q2043606): village in North Ossetia, Russia
4. Iran, also known as Īrān (wd:Q10859757): Iranian newspaper
5. IRAN, also known as Iran: Journal of the British Institute of Persian Studies (wd:Q5973372): academic journal
6. Irane Man, also known as Iran (wd:Q100939484): 2018 studio by Homayoun Shajarian & Sohrab Pournazeri
7. IRAN (wd:Q108434787): herbarium
8. Iran, also known as Iran (first name), Iran (given name) (wd:Q21286079): male given name
9. Iran, also known as IMO 5327817 (wd:Q101778560): ship built in 1941
10. Iran (wd:Q96382820): About Iran

[Assistant] The entity for the country Iran is wd:Q794. Now I will search for properties related to "official language" or "language" that could be used for a country. I will search for properties with the query "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language widely used (spoken or written) in this place or at this event or organisation
8. 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 ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): language in which the writer has written their work, languages spoken, written or signed

[Assistant] The property "official language" (wdt:P37) is the most relevant property for the official language of a country. Now I will write a SPARQL query to get the official language of Iran (wd:Q794) using the property official language (wdt:P37).

[Tool]
Got 1 row and 2 columns:
| officialLanguage   | officialLanguageLabel |
| ------------------ | --------------------- |
| Persian (wd:Q9168) | Persian (en)          |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language of Iran using the property P37 (official language) from the Wikidata entity for Iran (Q794). It also optionally retrieves the English label for the language. The answer 'The official language of Iran is Persian.' is accurate and matches the query result. The query follows the rules by returning the identifier and label, and the answer is complete and correct.