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 ?language ?languageLabel WHERE {
  wd:Q34 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| language           | languageLabel |
| ------------------ | ------------- |
| Swedish (wd:Q9027) | Swedish (en)  |

The official language spoken in Sweden is Swedish.

[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 language do they speak in sweden yahoo?

[Assistant]
The user question seems to be asking about the language spoken in Sweden. The word "yahoo" appears to be extraneous or a typo, so I will focus on the main question: "What language do they speak in Sweden?"

Step 1: Identify the entity "Sweden" and the property related to the language spoken in a country.

Step 2: Search for the entity "Sweden" in Wikidata.

I will start by searching for the entity "Sweden" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Sweden, also known as Swedish Kingdom, Konungariket Sverige, SWE, se, Kingdom of Sweden (wd:Q34): country in Northern Europe
2. Sweden, also known as Kingdom of Sweden, Konungariket Sverige, se, Swedish Kingdom, Sverige (wd:Q34): country in Northern Europe
3. Sweden, also known as Sweden, Maine, Sweden, ME (wd:Q3450805): town in Oxford County, Maine, USA
4. Sweden, also known as Sweden, NY, Sweden, New York (wd:Q3709888): town in New York, USA
5. Sweden (wd:Q7654287): constituency of the European Parliament
6. Sweden, also known as Sweden, AR, Sweden, Arkansas (wd:Q7654280): unincorporated community in Jefferson County, Arkansas
7. Sweden, also known as Sweden, Missouri, Sweden, MO (wd:Q27985021): unincorporated community in Missouri
8. Sweden, also known as Sweden, Georgia (wd:Q65049788)
9. Curators of Sweden, also known as @sweden, twitter.com/sweden (wd:Q5194619): Swedish social media campaign, Twitter account
10. Sweden (wd:Q12004480): musical group from Oslo, Norway

[Assistant]
The entity "Sweden" as a country in Northern Europe is identified as wd:Q34.

Step 3: Identify the property for the language spoken in a country. Commonly, the property for official language is "official language" (wdt:P37).

Step 4: Construct a SPARQL query to find the official language(s) spoken in Sweden (wd:Q34). I will also include labels for readability.

I will now write and execute the SPARQL query.

[Tool]
Got 1 row and 2 columns:
| language           | languageLabel |
| ------------------ | ------------- |
| Swedish (wd:Q9027) | Swedish (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official language spoken in Sweden by using the property for official language (wdt:P37) on the entity Sweden (wd:Q34). The query also optionally fetches the English label for the language, which is Swedish. The answer provided is accurate and complete: Swedish is the official language spoken in Sweden. No further refinement is necessary.


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 ?genre ?genreLabel WHERE {
  wd:Q1203 wdt:P136 ?genre .
  OPTIONAL {
    ?genre rdfs:label ?genreLabel FILTER ( LANG( ?genreLabel ) = "en" )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| genre                            | genreLabel              |
| -------------------------------- | ----------------------- |
| rock music (wd:Q11399)           | rock music (en)         |
| experimental music (wd:Q1640319) | experimental music (en) |
| experimental rock (wd:Q1641839)  | experimental rock (en)  |
| blues rock (wd:Q193355)          | blues rock (en)         |
| psychedelic rock (wd:Q206159)    | psychedelic rock (en)   |
| ...                              | ...                     |
| pop music (wd:Q37073)            | pop music (en)          |
| pop rock (wd:Q484641)            | pop rock (en)           |
| beat music (wd:Q546264)          | beat music (en)         |
| rock and roll (wd:Q7749)         | rock and roll (en)      |
| hard rock (wd:Q83270)            | hard rock (en)          |

John Lennon sang various types of music including rock music, experimental music, experimental rock, blues rock, psychedelic rock, pop music, pop rock, beat music, rock and roll, and hard rock.

[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 type of music did john lennon sing?

[Assistant]
To answer the question about the type of music John Lennon sang, I need to identify the entity for John Lennon and then find the relevant property that describes the type or genre of music he performed.

Step 1: Search for the entity "John Lennon" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John Lennon, also known as John Winston Ono Lennon, John Ono Lennon (wd:Q1203): British musician (1940–1980), political activist, singer-songwriter, recording artist, record producer, peace activist, public figure, film director, film producer, prose writer, film actor, guitarist, composer, painter, pianist, singer, writer, actor, poet
2. Liverpool John Lennon Airport, also known as John Lennon, John Lennon airport, Liverpool Airport, Liverpool (John Lennon), LPL (wd:Q8727): airport in Liverpool, England
3. John Lennon Silva Santos, also known as John Lennon (wd:Q6244563): association football player, Brazilian footballer
4. John Brown Lennon, also known as John B. Lennon, John Lennon (wd:Q6223555): American labor leader (1850–1923), trade unionist
5. John Lennon, also known as J. John Lennon, Justin John Lennon (wd:Q11979004): Scottish tourism researcher, university teacher, tourism scholar
6. John Lennon (wd:Q65548791): Irish hurler born 1996
7. John Lennon (wd:Q6244553): British naval captain, military personnel
8. John Lennon (wd:Q12871620): 1855 - 3 Aug 1921
9. John Lennon (wd:Q125643070): 2005 edition of written work by Jordi Sierra i Fabra
10. John Lennon (wd:Q106781630): 2015 song by SCH

[Assistant] The entity for John Lennon as a British musician and singer-songwriter is wd:Q1203. Next, I will search for properties related to the type or genre of music he sang. I will search for properties related to "music genre" or "genre" for this entity.

[Tool]
Top 10 property alternatives:
1. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
2. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
3. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as p/wdt): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
4. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
5. record label, also known as label, labels (wd:P264 as p/wdt): brand and trademark associated with the marketing of subject music recordings and music videos
6. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as p/wdt): identifier for a musical artist or author in the U.S. version of Apple Music
7. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as p/wdt): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)
8. MusicBrainz artist ID, also known as MB artist ID, MBID artist (wd:P434 as p/wdtn/wdt): identifier for an artist in the MusicBrainz open music encyclopedia
9. Songfacts artist ID (wd:P5287 as p/wdt): identifier for an artist on the Songfacts website
10. discography, also known as discography link, recording catalog (wd:P358 as p/wdt): item for list pages with discography of artist or band, list of works

No other items found

[Assistant] The property "genre" (wdt:P136) is the relevant property to describe the type or genre of music John Lennon sang. Now I will query the genres of music associated with John Lennon (wd:Q1203) using this property.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| genre                            | genreLabel              |
| -------------------------------- | ----------------------- |
| rock music (wd:Q11399)           | rock music (en)         |
| experimental music (wd:Q1640319) | experimental music (en) |
| experimental rock (wd:Q1641839)  | experimental rock (en)  |
| blues rock (wd:Q193355)          | blues rock (en)         |
| psychedelic rock (wd:Q206159)    | psychedelic rock (en)   |
| ...                              | ...                     |
| pop music (wd:Q37073)            | pop music (en)          |
| pop rock (wd:Q484641)            | pop rock (en)           |
| beat music (wd:Q546264)          | beat music (en)         |
| rock and roll (wd:Q7749)         | rock and roll (en)      |
| hard rock (wd:Q83270)            | hard rock (en)          |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the music genres associated with John Lennon using the property wdt:P136 (genre). The query returns the expected types of music he sang, including rock music, experimental music, blues rock, psychedelic rock, pop music, and others. The answer is comprehensive and matches the query results. The use of optional labels with language filtering is appropriate for readability. No further refinement is needed.


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 ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q39607 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfDeath                      | placeOfDeathLabel         |
| --------------------------------- | ------------------------- |
| place de la Concorde (wd:Q189503) | place de la Concorde (en) |

Antoine Lavoisier died at Place de la Concorde.

[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 antoine lavoisier die?

[Assistant] To answer the question "Where did Antoine Lavoisier die?", I need to identify the entity for Antoine Lavoisier in Wikidata and then find the property that corresponds to the place of death. I will start by searching for the entity "Antoine Lavoisier" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Antoine Lavoisier, also known as Lavoisier, Antoine Laurent Lavoisier, Antoine Laurent de Lavoisier, Antoine-Laurent de Lavoisier (wd:Q39607): French chemist, administrator, astronomer, biologist, physicist, economist, academic, chemist, lawyer, writer
2. Antoine Lavoisier (wd:Q59073688): scientific article published in Nature
3. Antoine Lavoisier (wd:Q18147111): sculpture by Jacques-Léonard Maillet
4. Antoine-Laurent Lavoisier (wd:Q21685186): encyclopedic article
5. résidence Antoine Lavoisier (wd:Q113413611): street in Pierrefitte-sur-Seine, France
6. Antoine de Lavoisier (wd:Q108838701)
7. Antoine Laurent Lavoisier (wd:Q74018917): scientific article published on 01 May 1956
8. Antoine Laurent Lavoisier (wd:Q69311401): scientific article published on 01 July 1973
9. Antoine Laurent Lavoisier (wd:Q41051602): scientific article
10. rue Antoine de Lavoisier (wd:Q112065256): street in Rungis, France

[Assistant] The entity for Antoine Lavoisier in Wikidata is wd:Q39607. Next, I will look for the property that corresponds to the place of death for this entity. I will search for properties related to "place of death" for Antoine Lavoisier.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as p/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
5. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
7. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
8. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception

No other items found

[Assistant] The property for the place of death is wd:P20. Now I will write a SPARQL query to get the place of death for Antoine Lavoisier (wd:Q39607) using the property wd:P20.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath                      | placeOfDeathLabel         |
| --------------------------------- | ------------------------- |
| place de la Concorde (wd:Q189503) | place de la Concorde (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death for Antoine Lavoisier using the property 'place of death' (wdt:P20). The query returns the identifier and the English label of the place, which is Place de la Concorde. The answer is accurate and complete according to the data from Wikidata. No further refinement is necessary.


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 ?college ?collegeLabel WHERE {
  wd:Q117425 wdt:P69 ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel FILTER ( LANG( ?collegeLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| college                               | collegeLabel                 |
| ------------------------------------- | ---------------------------- |
| University of Tulsa (wd:Q1848657)     | University of Tulsa (en)     |
| Will Rogers High School (wd:Q8003051) | Will Rogers High School (en) |

S. E. Hinton attended the University of Tulsa, which is the college she went to. She also attended Will Rogers High School, but that is a high school, not a college.

[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 college did se hinton go?

[Assistant]
The user is asking for the college that SE Hinton attended.

Step 1: Identify the entity "SE Hinton" in Wikidata.
Step 2: Identify the property related to education or college attended.
Step 3: Query the college attended by SE Hinton.

I will start by searching for the entity "SE Hinton" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Sebastian Hinton (wd:Q55532855): lawyer, inventor of the Jungle gym, lawyer
2. Sean Hinton (wd:Q115735561): Founder and Chief Executive Officer - SkyHive
3. Sedum hintonii (wd:Q15128167): species of plant
4. Sechium hintonii (wd:Q15537806): species of plant
5. Sebastiania hintonii (wd:Q15381122): species of plant
6. Sedum hintoniorum (wd:Q17773683): species of plant
7. Senecio hintonii (wd:Q15596264): species of plant
8. Senecio hintoniorum (wd:Q15596465): species of plant
9. Hinton Sewage Pond Dam (wd:Q34836139): dam in Caddo County, Oklahoma, United States of America
10. Salvia sect. Hintoniana (wd:Q129574204)

[Assistant] The search for "SE Hinton" did not return a direct match for the author SE Hinton. The closest relevant entities are not related to the author. I will try searching for just "Hinton" with a focus on authors or writers to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. writer, also known as penwoman, writers, penwomen, penmen, penman (wd:Q36180): person who uses written words to communicate ideas and to produce literary works
2. author, also known as authors, contributor, contributors (wd:Q482980): writer of an original work
3. Hinton, also known as Hinton, IA, Hinton, Iowa (wd:Q1846529): city in Iowa, United States
4. Hinton, also known as Hinton, West Virginia, Hinton, WV (wd:Q1814667): city in Summers County, West Virginia, United States
5. Hinton, also known as Hinton, OK, Hinton, Oklahoma (wd:Q2392475): human settlement in Caddo County, Oklahoma, United States of America
6. Hinton (wd:Q1016692): town in Alberta, Canada
7. Author! Author! (wd:Q646972): 1982 film by Arthur Hiller
8. Hinton, also known as Hinton, Gloucestershire (wd:Q9292337): village and civil parish in Gloucestershire, United Kingdom
9. Hinton, also known as Hinton, New South Wales, Hinton, New South Wales, Australia (wd:Q5767625): town in New South Wales, Australia
10. Hinton, also known as Hinton, Northamptonshire (wd:Q5767637): village in Northamptonshire, UK

[Assistant] The search for "Hinton author" did not return a direct match for SE Hinton either. I will try searching for "S E Hinton" to see if that yields a more specific result for the author.

[Tool]
Top 10 entity alternatives:
1. S. E. Hinton, also known as Susan Eloise Hinton (wd:Q117425): children's writer, American writer, autobiographer, screenwriter, film actor, novelist, writer
2. S. E. Hinton bibliography (wd:Q7387461)
3. Scott, Edward Hinton (wd:Q96779104): entry in the Royal Naval Biography
4. Eric Hinton Stewart (wd:Q75742435): (born 1899)
5. Edward Hinton Scott (wd:Q108103196): British Royal Navy officer, captain in 1838 (1789-?), naval officer
6. Scott, Edward Hinton (NBD) (wd:Q24022213): entry in the Naval Biographical Dictionary
7. High Stakes with Ed Hinton (wd:Q114502643): episode of The Roy Rogers Show (S6 E11)
8. Hinton Ampner C Of E Primary School (wd:Q26448924): school building in Hinton Ampner, Hampshire, England, UK
9. Hinton St George Church of England School (wd:Q66163957): school in Somerset, UK
10. Broad Hinton Church of England Primary School (wd:Q66164603): school in Wiltshire, UK

[Assistant] I found the entity for S. E. Hinton as wd:Q117425. Now I will look for the property related to the college or educational institution attended by this entity. Common properties for education include "educated at" (P69). I will check the statements of this entity to find the relevant property.

[Tool]
Got 342 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                        | object                              |
| ------------------------- | ----------------------------------------------- | ----------------------------------- |
| S. E. Hinton (wd:Q117425) | instance of (wdt:P31)                           | human (wd:Q5)                       |
| S. E. Hinton (wd:Q117425) | occupation (wdt:P106)                           | writer (wd:Q36180)                  |
| S. E. Hinton (wd:Q117425) | sex or gender (wdt:P21)                         | female (wd:Q6581072)                |
| S. E. Hinton (wd:Q117425) | given name (wdt:P735)                           | Susan (wd:Q14936243)                |
| S. E. Hinton (wd:Q117425) | date of birth (wdt:P569)                        | 1948-07-22T00:00:00Z (xsd:dateTime) |
| S. E. Hinton (wd:Q117425) | country of citizenship (wdt:P27)                | United States (wd:Q30)              |
| S. E. Hinton (wd:Q117425) | family name (wdt:P734)                          | Hinton (wd:Q12791001)               |
| S. E. Hinton (wd:Q117425) | place of birth (wdt:P19)                        | Tulsa (wd:Q44989)                   |
| S. E. Hinton (wd:Q117425) | educated at (wdt:P69)                           | University of Tulsa (wd:Q1848657)   |
| S. E. Hinton (wd:Q117425) | languages spoken, written or signed (wdt:P1412) | English (wd:Q1860)                  |
| ...                       | ...                                             | ...                                 |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the educational institutions associated with S. E. Hinton, including both her college and high school. However, the user's question specifically asks for the college she attended, so the answer should clarify that the University of Tulsa is the college, while Will Rogers High School is a high school and not a college. The answer should explicitly state that the University of Tulsa is the college she attended to avoid confusion. The SPARQL query is appropriate, but the answer presentation can be improved for clarity.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified the educational institutions attended by S. E. Hinton using the property 'educated at' (wdt:P69). It returned both the University of Tulsa and Will Rogers High School, and correctly clarified that the University of Tulsa is the college she attended, while Will Rogers High School is a high school, not a college. The SPARQL query is appropriate and returns the correct identifiers and labels. The answer is accurate and complete for the user's question.


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 ?location ?locationLabel WHERE {
  wd:Q7184 wdt:P159 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| location                   | locationLabel         |
| -------------------------- | --------------------- |
| City of Brussels (wd:Q239) | City of Brussels (en) |

The NATO headquarters are located in the City of Brussels.

[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 are the nato headquarters located?

[Assistant]
To answer the question "Where are the NATO headquarters located?", I need to identify the entity for NATO and the property that indicates the location of its headquarters.

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

[Tool]
Top 10 entity alternatives:
1. NATO, also known as North Atlantic Treaty Organization, North Atlantic Treaty Organisation, NATO Alliance, North Atlantic Alliance (wd:Q7184): intergovernmental military alliance between 32 member states
2. .nato (wd:Q753137): top-level domain
3. NATO (wd:Q1940923): 1994 studio album by Laibach
4. National Association of Theatre Owners, also known as NATO (wd:Q2076915): American motion picture exhibition trade organization
5. nato wood, also known as mora, mora wood, nato (wd:Q3337031): the wood from tropical trees in the genus Mora
6. Nåtö (wd:Q24453737): island in Finland Proper, Finland
7. Nato (wd:Q6980174): human settlement in Madagascar
8. Nato (wd:Q10605515): island in Lemland, Åland Islands, Finland
9. Jeanne Natoire, also known as Mademoiselle Natoire, Mlle Natoire, Nato (wd:Q34725664): French Painter (c. 1700–1776), painter
10. naTo, also known as Cinématèque in der naTo (wd:Q1961846): cultural centre and cinema in Leipzig

[Assistant]
The entity for NATO is wd:Q7184, which represents the North Atlantic Treaty Organization.

Step 2: Search for properties related to the location of headquarters for the entity NATO (wd:Q7184). I will search for properties related to "headquarters location" or "location".

[Tool]
Top 10 property alternatives:
1. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
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. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
4. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as p/wdt): position of the head of this item
5. 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
6. corporate officer, also known as executive officer (wd:P2828 as p/wdt): person who holds a specific position, director / manager
7. street address, also known as postal address, physical address, mailing address, located at street address, full address (wd:P6375 as p/wdt): full street address where subject is located. Include building n...t country; use also P669 if the street has its own separate item
8. LittleSis organization ID, also known as LittleSis organisation ID, LittleSis organisation identifier, LittleSis organization identifier (wd:P3393 as p/wdt): organisation in the LittleSis who-knows-who of government and business database
9. 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
10. LinkedIn company or organization ID, also known as https://www.linkedin.com/company/, www.linkedin.com/company/, LinkedIn showcase, LinkedIn school ID, LinkedIn organization ID (wd:P4264 as p/wdt): identifier for an official company, school, organisation page, or showcase page, on LinkedIn, website username or ID

No other items found

[Assistant]
The property "headquarters location" (wdt:P159) is the most relevant to indicate the location of NATO's headquarters.

Step 3: Construct a SPARQL query to find the headquarters location of NATO (wd:Q7184) using the property headquarters location (wdt:P159). I will also include the label of the location for better readability.

[Tool]
Got 1 row and 2 columns:
| location                   | locationLabel         |
| -------------------------- | --------------------- |
| City of Brussels (wd:Q239) | City of Brussels (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the headquarters location of NATO (wd:Q7184) using the property headquarters location (wdt:P159). The result is accurate and matches the known fact that NATO headquarters are located in the City of Brussels. The query also optionally retrieves the English label for the location, which is helpful for readability. The answer provided is correct and complete.


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 ?book ?bookLabel WHERE {
  ?book wdt:P50 wd:Q207 .
  ?book wdt:P577 ?publicationDate .
  FILTER ( YEAR( ?publicationDate ) = 2017 ) .
  OPTIONAL {
    ?book rdfs:label ?bookLabel FILTER ( LANG( ?bookLabel ) = "en" )
  }
}

The title of George Bush's new book is "Portraits of Courage" by George W. Bush, published in 2017.

[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 title of george bush's new book?

[Assistant]
To answer the question about the title of George Bush's new book, I need to identify which George Bush is being referred to (e.g., George H. W. Bush or George W. Bush) and then find the title of his most recent book.

Step 1: Search for entities named "George Bush" to identify the relevant individuals.

[Tool]
Top 10 entity alternatives:
1. George W. Bush, also known as GWB, POTUS 43, George Bush, President Bush, Bush Jr. (wd:Q207): President of the United States from 2001 to 2009, motivational speaker, rugby union player, military officer, autobiographer, businessperson, statesperson, politician, financier, painter
2. George H. W. Bush, also known as G H W Bush, George W. Bush Senior, GHWB, GHW Bush, G.H.W. Bush (wd:Q23505): President of the United States from 1989 to 1993, baseball player, aircraft pilot, autobiographer, naval officer, statesperson, entrepreneur, politician, diplomat
3. George Bush (wd:Q5537488): American biblical scholar and pastor (1796–1859), pastor, writer
4. George Bush, also known as George Edward Bush (wd:Q28445429): association football player (1883-1936), association football player
5. George Bush (wd:Q5537484): racing driver, engineer
6. George Bush, also known as Simmons (wd:Q107224832): person in the Aberdeen Register of Returned Convicts 1869-1939
7. George Bush (wd:Q47512688): painting by Daniel Bennett Schwartz
8. George Bush (wd:Q47509378): painting by Ronald N. Sherr
9. George Bush (wd:Q100766406): basketball player
10. George Bush [bushgeorg0026233] (wd:Q103871655): article in Electronic Enlightenment

[Assistant]
There are two prominent individuals named George Bush who are former Presidents of the United States: George W. Bush (wd:Q207) and George H. W. Bush (wd:Q23505). Both have been autobiographers, so either could have a new book.

Step 2: I will check for books authored by George W. Bush (wd:Q207) first.

[Tool] Got no rows and 3 columns

[Assistant] The property wdt:P50 (author) is not used directly on the entity for books authored by George W. Bush. Instead, I will search for works authored by George W. Bush using a different approach: I will search for entities with George W. Bush as the author (P50).

[Tool]
Got 400 rows and 3 columns, showing the first 10 rows below:
| subject                                                      | property         | object                   |
| ------------------------------------------------------------ | ---------------- | ------------------------ |
| Decision Points (wd:Q942966)                                 | author (wdt:P50) | George W. Bush (wd:Q207) |
| Mission Accomplished speech (wd:Q3316780)                    | author (wdt:P50) | George W. Bush (wd:Q207) |
| Executive Order 13224 (wd:Q5419884)                          | author (wdt:P50) | George W. Bush (wd:Q207) |
| Executive Order 13470 (wd:Q1383597)                          | author (wdt:P50) | George W. Bush (wd:Q207) |
| 41: A Portrait of My Father (wd:Q18786479)                   | author (wdt:P50) | George W. Bush (wd:Q207) |
| Proclamation 7750 of the President of the USA (wd:Q18330735) | author (wdt:P50) | George W. Bush (wd:Q207) |
| Presidential Radio Address - 26 July 2008 (wd:Q19052002)     | author (wdt:P50) | George W. Bush (wd:Q207) |
| Portraits of Courage (wd:Q29097574)                          | author (wdt:P50) | George W. Bush (wd:Q207) |
| A Charge to Keep (wd:Q4655824)                               | author (wdt:P50) | George W. Bush (wd:Q207) |
| Executive Order 13233 (wd:Q5419885)                          | author (wdt:P50) | George W. Bush (wd:Q207) |
| ...                                                          | ...              | ...                      |

[Assistant]
George W. Bush has authored several works including books such as "Decision Points" (wd:Q942966), "41: A Portrait of My Father" (wd:Q18786479), and "Portraits of Courage" (wd:Q29097574).

Step 3: I will check the publication dates of these books to identify the newest one. I will query the publication date (P577) for these three books.

[Tool]
Got 3 rows and 3 columns:
| book                                       | bookLabel                        | publicationDate                     |
| ------------------------------------------ | -------------------------------- | ----------------------------------- |
| Portraits of Courage (wd:Q29097574)        | Portraits of Courage (en)        | 2017-01-01T00:00:00Z (xsd:dateTime) |
| 41: A Portrait of My Father (wd:Q18786479) | 41: A Portrait of My Father (en) | 2014-11-11T00:00:00Z (xsd:dateTime) |
| Decision Points (wd:Q942966)               | Decision Points (en)             | 2010-11-09T00:00:00Z (xsd:dateTime) |

[Assistant]
The newest book authored by George W. Bush is "Portraits of Courage," published in 2017.

Step 4: I will also check if George H. W. Bush has any newer books to be sure. I will search for works authored by George H. W. Bush (wd:Q23505).

[Tool]
Got 382 rows and 3 columns, showing the first 10 rows below:
| subject                                 | property         | object                        |
| --------------------------------------- | ---------------- | ----------------------------- |
| Read my lips: no new taxes (wd:Q455923) | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Executive Order 12711 (wd:Q5419868)     | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Executive Order 13139 (wd:Q19104080)    | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| All the Best (wd:Q17511147)             | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Proclamation 6333 (wd:Q19074965)        | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Proclamation 6338 (wd:Q19075023)        | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Proclamation 6342 (wd:Q19075042)        | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Proclamation 6362 (wd:Q19075165)        | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Proclamation 6368 (wd:Q19075205)        | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| Proclamation 6381 (wd:Q19075280)        | author (wdt:P50) | George H. W. Bush (wd:Q23505) |
| ...                                     | ...              | ...                           |

[Assistant]
George H. W. Bush has authored several works including "Read my lips: no new taxes" (wd:Q455923) and "All the Best" (wd:Q17511147).

Step 5: I will check the publication dates of these two books to identify the newest one. I will query the publication date (P577) for these two books.

[Tool]
Got 1 row and 3 columns:
| book                        | bookLabel         | publicationDate                     |
| --------------------------- | ----------------- | ----------------------------------- |
| All the Best (wd:Q17511147) | All the Best (en) | 1999-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
The newest book authored by George H. W. Bush is "All the Best," published in 1999.

Since George W. Bush's newest book "Portraits of Courage" (2017) is more recent than George H. W. Bush's newest book (1999), the answer to the question about George Bush's new book title is "Portraits of Courage" by George W. Bush.

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies a book authored by George W. Bush published in 2017, which matches the user's question about George Bush's new book. However, the query filters for an exact publication date of '2017-01-01T00:00:00Z', which is too restrictive and might miss books published in 2017 but on different dates. It would be better to filter for books published in the year 2017 more generally (e.g., using a date range or year extraction). Also, the query should ensure it is specifically about George W. Bush (Q207) and not other George Bush entities. The answer is correct and complete, but the query can be improved for robustness.

[Assistant]
Thank you for the feedback. I will improve the SPARQL query to filter for books published in the year 2017 more generally by extracting the year from the publication date and matching it to 2017. This will make the query more robust while still focusing on George W. Bush (wd:Q207).

I will now update the SPARQL query accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies George W. Bush as the author (wdt:P50 wd:Q207) and filters for books published in 2017, which matches the known publication year of "Portraits of Courage." The query returns the book's identifier and English label, fulfilling the requirement to provide the title. The answer is accurate and complete based on the data retrieved from Wikidata. No further refinement is necessary.


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 ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q36844 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER ( LANG( ?placeOfBirthLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfBirth               | placeOfBirthLabel  |
| -------------------------- | ------------------ |
| Saint Michael (wd:Q819170) | Saint Michael (en) |

Wikidata does not have explicit information about where Rihanna was raised. The knowledge graph only provides her place of birth, which is Saint Michael, Barbados. Therefore, the place where Rihanna was raised is not specified 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] where was rihanna raised?

[Assistant] To answer the question "Where was Rihanna raised?", I need to find the entity for Rihanna in Wikidata and then look for properties related to the place where she was raised. Typically, the property for "place of upbringing" or "place of residence during childhood" might be used. I will start by searching for the entity "Rihanna" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Rihanna, also known as Barbadian singer, Rihana, Robyn Fenty, Robyn Rihanna Fenty (wd:Q36844): Barbadian singer and actress, singer
2. Rihanna (wd:Q751012): 2010 photo-book
3. Rihanna (wd:Q17136804): female given name
4. Rihanna (wd:Q65090823): 2017 single by Yxng Bane
5. Rihanna (wd:Q17146308): single  by Orezi
6. Rihanna (wd:Q120757612): original song written by Camille Dhont, and performed by Camille
7. Rihanna (wd:Q119197664)
8. Rihanna (wd:Q119197546)
9. Rihanna (wd:Q120757609): vocal track by Camille; 2023 studio recording
10. Rihanna Twitter account, also known as @rihanna, twitter.com/rihanna (wd:Q65676172): Twitter account of Rihanna

[Assistant] The entity for Rihanna as a Barbadian singer and actress is wd:Q36844. Now I will search for properties related to the place where she was raised or grew up. I will look for properties related to "place raised" or "upbringing" for this entity.

[Tool]
Top 10 property alternatives:
1. wears, also known as wore, wearing, uniform, outfit, garment (wd:P3828 as p/wdt): clothing or accessory worn on subject's body, item operated
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
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. height, also known as heighth, size, depth over terrain (wd:P2048 as p/wdt): vertical length of an entity, length
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
8. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
9. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant] There is no direct property labeled as "raised" or "upbringing" for Rihanna in the property search. I will try to find if there is a property related to "place of upbringing" or "childhood residence" or similar for the entity Rihanna (wd:Q36844). I will try searching for properties related to "place" or "location" for Rihanna.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
4. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. 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
7. 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)
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. name in native language, also known as native name (wd:P1559 as p/wdt): name of a person in their native language, name

No other items found

[Assistant] There is no direct property for "place raised" or "place of upbringing" for Rihanna in the Wikidata properties for her entity. However, the place where a person was raised is often mentioned as "residence" or "childhood residence." I will check if there is a property related to "residence" or "childhood residence" for Rihanna.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
3. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
4. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
5. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
6. net worth, also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets (wd:P2218 as p/wdt): totality of wealth possessed by a person
7. 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)
8. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
9. Guardian topic ID, also known as Guardian, The Guardian topic, The Guardian topic ID (wd:P3106 as p/wdt): identifier for a topic at the Guardian newspaper website
10. 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

No other items found

[Assistant] There is no direct property for "residence" or "childhood residence" for Rihanna in the Wikidata properties for her entity. I will now check the place of birth for Rihanna, as sometimes the place where a person was raised is the same as their place of birth or mentioned in the description of the place of birth. I will query the place of birth for Rihanna (wd:Q36844).

[Tool]
Got 1 row and 2 columns:
| placeOfBirth               | placeOfBirthLabel  |
| -------------------------- | ------------------ |
| Saint Michael (wd:Q819170) | Saint Michael (en) |

[Assistant] Rihanna was born in Saint Michael. To find where she was raised, I will check if there is any information about her childhood or upbringing location in the form of a statement or qualifier related to her entity. I will look for any statements or qualifiers related to "childhood" or "upbringing" for Rihanna.

[Tool]
Got 1,517 rows and 3 columns, showing the first 10 rows below:
| subject             | property                         | object                                                                          |
| ------------------- | -------------------------------- | ------------------------------------------------------------------------------- |
| Rihanna (wd:Q36844) | instance of (wdt:P31)            | human (wd:Q5)                                                                   |
| Rihanna (wd:Q36844) | occupation (wdt:P106)            | singer (wd:Q177220)                                                             |
| Rihanna (wd:Q36844) | sex or gender (wdt:P21)          | female (wd:Q6581072)                                                            |
| Rihanna (wd:Q36844) | given name (wdt:P735)            | Rihanna (wd:Q17136804)                                                          |
| Rihanna (wd:Q36844) | date of birth (wdt:P569)         | 1988-02-20T00:00:00Z (xsd:dateTime)                                             |
| Rihanna (wd:Q36844) | Commons category (wdt:P373)      | Rihanna                                                                         |
| Rihanna (wd:Q36844) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Rihanna%20Fenty%202018.png> |
| Rihanna (wd:Q36844) | country of citizenship (wdt:P27) | Barbados (wd:Q244)                                                              |
| Rihanna (wd:Q36844) | family name (wdt:P734)           | Fenty (wd:Q37508393)                                                            |
| Rihanna (wd:Q36844) | place of birth (wdt:P19)         | Saint Michael (wd:Q819170)                                                      |
| ...                 | ...                              | ...                                                                             |

[Assistant] There is no direct property indicating where Rihanna was raised in the list of properties for her entity. However, it is known from general knowledge that Rihanna was raised in Barbados. Since the place of birth is Saint Michael, Barbados, it is likely she was raised there as well. I will provide the answer based on this information.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The question asks where Rihanna was raised, but the SPARQL query only retrieves her place of birth (wdt:P19). Place of birth is not necessarily the same as where someone was raised. To answer the question correctly, the query should look for a property that indicates where Rihanna was raised or grew up. Unfortunately, Wikidata does not have a direct property for 'place raised' or 'place grew up'. However, sometimes this information can be found in the 'residence' (wdt:P551) or 'hometown' (wdt:P74) properties, or in the biographical text. The current query does not address the question properly and thus the answer is incomplete and potentially misleading. I recommend refining the query to check for these properties or to clarify that the place of birth is not necessarily the place where Rihanna was raised.

[Assistant] Thank you for the feedback. I understand that the place of birth is not necessarily the same as the place where Rihanna was raised. I will refine the query to check for properties such as "residence" (wdt:P551) and "hometown" (wdt:P74) for Rihanna (wd:Q36844) to see if there is any information about where she was raised or grew up.

[Tool] Got no rows and 4 columns

[Assistant] There are no values for the properties "residence" (wdt:P551) or "hometown" (wdt:P74) for Rihanna in Wikidata. Since there is no direct property indicating where Rihanna was raised, I will clarify in the answer that the place of birth is known but the place where she was raised is not explicitly stated in Wikidata.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The system correctly identified Rihanna's place of birth as Saint Michael, Barbados, but the user's question specifically asks where Rihanna was raised, which is not necessarily the same as place of birth. The current query only retrieves the place of birth (wdt:P19) and does not attempt to find the place where Rihanna was raised. To improve, the system should attempt to find properties related to where a person was raised or grew up, such as 'residence' (wdt:P551) or other relevant properties. If no explicit data is found, the system should clearly state that the information about where Rihanna was raised is not available in Wikidata. This would provide a more complete and accurate answer to the user's question.

[Assistant] I understand the importance of distinguishing between place of birth and place where Rihanna was raised. I have already checked the properties "residence" (wdt:P551) and "hometown" (wdt:P74) and found no information for Rihanna in Wikidata. To be thorough, I will also check for any other properties that might indicate where she grew up or was raised, such as "location of upbringing" or similar. If no such information is found, I will clearly state that the place where Rihanna was raised is not available in Wikidata. I will start by searching for properties related to "upbringing" or "grew up" for Rihanna.

[Tool]
Top 10 property alternatives:
1. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
3. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
4. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
5. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
8. wears, also known as wore, wearing, uniform, outfit, garment (wd:P3828 as p/wdt): clothing or accessory worn on subject's body, item operated
9. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
10. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as p/wdt): language or languages a person has learned from early childhood, languages spoken, written or signed

No other items found

[Assistant] There are no properties directly related to "upbringing" or "where Rihanna was raised" for the entity Rihanna (wd:Q36844) in Wikidata. Since there is no explicit information about where Rihanna was raised or grew up in Wikidata, I will provide a clear answer stating this fact along with the known place of birth.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?start ?end WHERE {
  wd:Q91 p:P39 ?statement .
  ?statement ps:P39 wd:Q11696 ; pq:P580 ?start ; pq:P582 ?end .
}

Abraham Lincoln was president from March 4, 1861, to April 15, 1865.

[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 abe lincoln president?

[Assistant]
To answer the question "When was Abe Lincoln president?" I need to find the entity for Abe Lincoln and then find the time period during which he held the position of president.

Step 1: Search for the entity "Abe Lincoln" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. 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
2. Abe Lincoln, also known as Abram Lincoln (wd:Q4666410): American jazz trombonist (1907-2000), jazz musician
3. Abraham Lincoln, also known as Abe Lincoln (wd:Q4669012): named passenger train
4. Abe Lincoln (wd:Q49395851): mine in Santa Fe County, New Mexico, United States
5. Abe Lincoln (wd:Q63889409): musical character in the musical Abe
6. Abe Lincoln Mine (wd:Q49395856): mine in Lincoln County, Nevada, United States of America
7. Abe Lincoln Playground (wd:Q34631707)
8. Abe Lincoln Mountain (wd:Q49008420)
9. Abe Lincoln Mine (wd:Q49395859): mine in Colfax County, New Mexico, United States of America
10. Abe Lincoln Mine (wd:Q49395857): mine in Pershing County, Nevada, United States of America

[Assistant]
The entity for Abraham Lincoln, the president of the United States from 1861 to 1865, is wd:Q91. Now I need to find the time period during which he was president. This is typically represented by the property "position held" (P39) with the value "President of the United States" (Q11696), and the qualifiers for start time (P580) and end time (P582).

Step 2: Query the time period when Abraham Lincoln was president of the United States.

[Tool]
Got 1 row and 2 columns:
| start                               | end                                 |
| ----------------------------------- | ----------------------------------- |
| 1861-03-04T00:00:00Z (xsd:dateTime) | 1865-04-15T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the start and end dates of Abraham Lincoln's presidency from Wikidata using the position held property (P39) and the relevant position item for President of the United States (Q11696). The answer given is accurate and matches the query result. The query follows best practices by returning the actual date values and uses appropriate qualifiers for start and end times. No further refinement is necessary.