PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?occupation ) AS ?occupationCount ) WHERE {
  wd:Q7245 wdt:P106 ?occupation .
}

Using entities:
Mark Twain (wd:Q7245), also known as Quintus Curtius Snodgrass, Samuel Clemens, Samuel Langhorne Clemens, Samuel L. Clemens

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, etc.

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

Answer: Mark Twain had 12 occupations according to Wikidata (count of distinct values for property P106).

How many occupations did Mark Twain have?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many occupations did Mark Twain have?

[Assistant] Step 1: I'll search for the Wikidata item for "Mark Twain" to find the correct entity identifier.

[Tool]
Top 10 entity alternatives:
1. Mark Twain (wd:Q7245), also known as Quintus Curtius Snodgrass, Samuel Clemens, Samuel Langhorne Clemens, Samuel L. Clemens: American author and humorist (1835–1910) / has occupation science fiction writer / has occupation opinion journalist / has occupation children's writer / has occupation autobiographer / has occupation travel writer / has occupation prose writer / has occupation journalist / has occupation humourist / has occupation novelist / has occupation aphorist / has occupation humorist / has occupation teacher / has occupation writer / is instance of human
2. 2362 Mark Twain (wd:Q959983, matched via Mark Twain), also known as Mark Twain: is instance of asteroid / asteroid / asteroid / asteroid
3. Mark Twain (wd:Q6770075): is instance of Impact crater / is instance of impact crater / crater on Mercury
4. Mark Twain (wd:Q6770076): 2001 documentary film on the life of Mark Twain directed by Ken Burns / is instance of film
5. Mark Twain (wd:Q6770071), also known as Mark Twain, St. Louis: neighborhood of St. Louis, Missouri, United States / is instance of neighbourhood / is instance of neighborhood
6. Mark Twain (wd:Q66716403): 1873 article in Cartoon portraits and biographical sketches of men of the day / is instance of biographical article
7. Rosa 'Mark Twain' (wd:Q83668756, matched via Mark Twain), also known as Mark Twain: is instance of rose cultivar / rose cultivar
8. Samuel Clemens (wd:Q101095984, matched via Mark Twain), also known as Mark Twain: character in "Star Trek: The Next Generation"; fictional analog of author Mark Twain / is instance of human from Star Trek / has occupation writer / is instance of Human
9. Mark Twain (wd:Q116958637): bronze sculpture by unidentified artist / is instance of sculpture
10. Mark Twain (wd:Q20174185): painting by Charles Noel Flagg / painting by Charles Noel Flagg / is instance of painting

[Assistant] Step 2: I'll verify the property used for occupations in Wikidata (likely P106) by searching properties related to "occupation".

[Tool]
Top 10 property alternatives:
1. occupation (wd:P106 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. members have occupation (wd:P3989 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via member occupation), also known as consists of, group of, member occupation, member profession, members are, etc.: some or all members of this group share the occupation
3. field of work (wd:P101 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via work field), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
4. work location (wd:P937 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via place of work), also known as active in, conducts business at, conducts business in, did work at, did work from, etc.: location where persons or organisations were actively participating in employment, business or other work / is subproperty of significant place / location where persons were active / is subproperty of location
5. industry (wd:P452 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as branch, economic branch, field of action, field of exercise, sector, etc.: specific industry of company or organization / is subproperty of part of
6. owner of (wd:P1830 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via owns), also known as owns, owns property, shareholder of, P1830: entities owned by the subject / entities owned by the subject / entities owned by the subject
7. has subsidiary (wd:P355 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via owns), also known as daughter company, daughter organization, has imprint, imprint, owns, etc.: subsidiary of a company or organization; generally a fully ... division" (P199). Opposite of parent organization (P749). / subsidiary of a company or organization / is subproperty of has part(s) / is subproperty of owner of / is subproperty of has part
8. employer (wd:P108 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via working for), also known as employed by, of employer, organisation, organization, worked at, etc.: person or organization for which the subject works or worked / organisation for which the subject works or worked / organization for which the subject works or worked / is subproperty of affiliation
9. notable work (wd:P800 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via work), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
10. published in (wd:P1433 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via work), also known as album, article of, chapter of, essay of, music album, etc.: larger work that a given work was published in, like a journal, a website, a collection, a book or a music album / larger work that a given work was published in / is subproperty of part of

[Assistant] I'll run an initial query to list Mark Twain's occupations (property P106) and their English labels to verify the items returned. This helps ensure I'm using the correct entity (wd:Q7245) and property (wdt:P106) before counting. I'll now execute that query.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| occupation                            | occupationLabel             |
| ------------------------------------- | --------------------------- |
| aphorist (wd:Q3606216)                | aphorist (en)               |
| autobiographer (wd:Q18814623)         | autobiographer (en)         |
| children's writer (wd:Q4853732)       | children's writer (en)      |
| humorist (wd:Q12406482)               | humorist (en)               |
| journalist (wd:Q1930187)              | journalist (en)             |
| ...                                   | ...                         |
| prose writer (wd:Q12144794)           | prose writer (en)           |
| science fiction writer (wd:Q18844224) | science fiction writer (en) |
| teacher (wd:Q37226)                   | teacher (en)                |
| travel writer (wd:Q3579035)           | travel writer (en)          |
| writer (wd:Q36180)                    | writer (en)                 |

[Assistant] I'll run a final SPARQL COUNT query to compute the number of distinct occupations (property P106) for Mark Twain (wd:Q7245). This builds on the earlier check that P106 is the occupation property and that wd:Q7245 is Mark Twain. I'll now execute the query that counts distinct occupations.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?author ?authorLabel ?birthPlace ?birthPlaceLabel WHERE {
  wd:Q183883 wdt:P50 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
  ?author wdt:P19 ?birthPlace .
  OPTIONAL {
    ?birthPlace rdfs:label ?birthPlaceLabel FILTER ( LANG( ?birthPlaceLabel ) = "en" )
  }
}

Using entities:
The Catcher in the Rye (wd:Q183883), also known as Catcher in the Rye

Using properties:
place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.
author (wd:P50 as wdt), also known as co-author, creator, maker, playwright, poet, etc.

Answer: Author: J. D. Salinger (wd:Q79904). Place of birth: New York City (wd:Q60).

Where was the author of The Catcher in the Rye born ?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Where was the author of The Catcher in the Rye born ?

[Assistant]
Plan:
1. Search for the Wikidata item for the book "The Catcher in the Rye".
2. From that item, find the author (property wdt:P50).
3. From the author item, get place of birth (wdt:P19).
I'll start by searching for the book entity.

[Tool]
Top 10 entity alternatives:
1. The Catcher in the Rye (wd:Q183883), also known as Catcher in the Rye: is instance of literary work / 1951 novel by J. D. Salinger / 1951 novel by J.D. Salinger
2. The Catcher in the Rye (wd:Q16689546): 2012 debut studio album by Ann / is instance of album
3. The Catcher in the Rye (wd:Q125291968): is instance of version, edition or translation / 2001 Back Bay edition
4. The Local Catcher in the City Rye (wd:Q120743842): scholarly article in Journal of Central South University (Social Science), no. 1, 2012 / is instance of scholarly article / is instance of academic article
5. The Catcher in the Rye in popular culture (wd:Q7721703): Influence of J.D. Salinger's 1951 novel / is instance of cultural depiction
6. Holden’s Characterization in The Catcher in the Rye (wd:Q119978837): is instance of scholarly article / is instance of academic article
7. The Language of 'The Catcher in the Rye' (wd:Q55969969): is instance of scholarly article / is instance of academic article
8. The Study of The Catcher in the Rye in China (wd:Q120699421): is instance of scholarly article / is instance of academic article
9. Researches in the West on The Catcher in the Rye (wd:Q120522027): scholarly article in Journal of Lanzhou University (Social Sciences), no. 2, 2014 / is instance of scholarly article / is instance of academic article
10. Catcher in the Rye (wd:Q5051738): is instance of musical group / Chinese punk rock band

[Assistant] Now I'll query Wikidata for the author (property P50) of the book item wd:Q183883. I'll request the author's IRI and label.

[Tool]
Got 1 row and 2 columns:
| author                     | authorLabel         |
| -------------------------- | ------------------- |
| J. D. Salinger (wd:Q79904) | J. D. Salinger (en) |

[Assistant] Next I'll query Wikidata for the place of birth (property P19) of the author wd:Q79904 (J. D. Salinger). I'll ask for the place IRI and its English label.

[Tool]
Got 1 row and 2 columns:
| birthPlace             | birthPlaceLabel    |
| ---------------------- | ------------------ |
| New York City (wd:Q60) | New York City (en) |

[Assistant] I will now finalize with the SPARQL query that returns the author and the author's place of birth (IRIs and labels), and provide the answer. According to the query, J. D. Salinger was born in New York City. I'll use the answer function to deliver the final SPARQL query and the result.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q213849 wdt:P31 ?inst .
  FILTER NOT EXISTS {
    wd:Q213849 wdt:P576 ?d
  }
}

Using entities:
ATI Technologies (wd:Q213849), also known as Array Technologies Incorporated

Using properties:
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
dissolved, abolished or demolished date (wd:P576 as wdt), also known as abolished, abolishment date, ceased date, ceased on, ceased publication, etc.

Answer: ASK returned false. Therefore, ATI Technologies (wd:Q213849) does not still exist. Wikidata shows a dissolution date (wdt:P576) of 2011-01-01 for wd:Q213849, and that it is owned by AMD (wd:Q128896).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Does the ATI Company still exist?

[Assistant] I will search Wikidata for entities matching "ATI Company" or "ATI" to identify the correct company item, then check its current existence by looking for a dissolution date, or whether it was merged or acquired. I'll start by searching for entities with the label "ATI" or "ATI Technologies".

[Tool]
Top 10 entity alternatives:
1. Ati (wd:Q755791): is instance of subprefecture of Chad / is instance of municipality of Chad / is instance of city / city
2. Aashaadha (wd:Q1105198, matched via Āṭi), also known as Ashadha, Āṭi: is subclass of month of the Gujarati calendar / is subclass of month of the Tamil calendar / is instance of calendar month / month in Hindu calender / is instance of masa
3. Artigas Airport (wd:Q1430852, matched via ATI), also known as ATI, SUAG: is instance of airport / airport
4. Ati (wd:Q3217458), also known as Ati language, Ati (Philippines): Malayo-Polynesian language spoken and native to the Ati people of Panay / is subclass of Malayo-Polynesian / is instance of language family / is instance of modern language / is subclass of Austronesian / is subclass of Philippine / is instance of language
5. Alan Turing Institute (wd:Q16826821, matched via ATI), also known as ATI, turing.ac.uk, Turing Institute: is instance of research institute / research institute in Britain
6. Boneh-ye Ati (wd:Q4941616, matched via ‘Āţī), also known as ‘Āţī, Boneh-ye ‘Āţī: is instance of village / village in Iran
7. Allegheny Technologies (wd:Q1361648, matched via ATI), also known as Allegheny Technologies Incorporated, ATI, ATI Metals: is instance of public company / is instance of enterprise / is instance of business / company
8. Computer Engineers Association of Spain (wd:Q5709317, matched via ATI), also known as ATI: is instance of professional association / is instance of non-profit organisation / is instance of non-profit organization / is instance of nonprofit organization / Spanish non-profit association
9. Aati (wd:Q106432253, matched via Ati), also known as Ati: Ancient Egyptian judge of the dead / is subclass of Assessors of Maat
10. Airmen Training Institution (wd:Q110130809, matched via ATI), also known as ATI: Bangladesh Air Force Airmen Training and Education Institution / is instance of military school

[Assistant] I'll search for "ATI Technologies" specifically to find the company that made graphics cards (commonly referred to as ATI) and check its current status—whether it was acquired or dissolved.

[Tool]
Top 10 entity alternatives:
1. ATI Technologies (wd:Q213849), also known as Array Technologies Incorporated: is instance of defunct organisation / is instance of defunct organization / is instance of technology company / Canadian technology corporation / is instance of enterprise / is instance of business
2. Atipa Technologies (wd:Q67904906): American hardware manufacturer / is instance of business
3. Atiki Ally Atiki (wd:Q118959000, matched via Atiki Atiki), also known as Atiki Ally, Atiki Atiki: Tanzanian professional basketball player / has occupation basketball player / is instance of human
4. Atiqullah Atifmal (wd:Q19271885): has occupation politician / is instance of human / Afghan politician / Afghan politician / Afghan politician
5. Atiyah, Atiya (wd:Q116366131): is instance of female given name / female given name / female given name / female given name
6. Atikah, Atika (wd:Q116366130): is instance of female given name / female given name / female given name / female given name
7. Atifah, Atifa (wd:Q116366128): is instance of female given name / female given name / female given name / female given name
8. Atif, Atif (wd:Q116364288): is instance of male given name / male given name / male given name / male given name
9. Atinga atinga (wd:Q61885138): is instance of taxon / species of fish
10. Atılım Atılgan (wd:Q90557612): researcher (ORCID 0000-0003-2944-6404) / has occupation researcher / is instance of human

[Assistant] I'll look up the Wikidata item for "defunct organisation" to confirm its identifier before using it in the query.

[Tool]
Top 10 entity alternatives:
1. organization (wd:Q43229, matched via organisation), also known as institution, organisation, organisations, organization in sociology, organizations: social entity established to meet needs or pursue goals / is instance of social science concept / is subclass of person or organization / is subclass of person or organisation / social entity with a collective goal / social entity with a collective goal / social entity with a collective goal / is subclass of group of humans / is subclass of complex system / is subclass of corporate body / is subclass of social system
2. international organization (wd:Q484652, matched via international organisation), also known as international organisation: organisation established by treaty between governments / organization established by treaty between governments / is subclass of organisation / is subclass of organization
3. non-governmental organization (wd:Q79913, matched via non-governmental organisation), also known as civil society organization, NGO, non-governmental organisation, nongovernmental organisation, nongovernmental organization, etc.: organisation that is neither a part of a government nor a private for-profit business / organization independent of any government, usually created to aid those in need / is subclass of non-profit organisation / is subclass of non-profit organization / is subclass of nonprofit organization / is instance of legal form
4. nonprofit organization (wd:Q163740, matched via non-profit organisation), also known as citizen sector organization, civil association, civil society organization, non-profit, nonprofit, etc.: organization operated for a collective benefit / is instance of type of organisation / is instance of type of organization / is instance of economic branch / is subclass of organisation / is subclass of organization / is instance of legal form / is instance of industry
5. public administration (wd:Q31728, matched via administrative organisation), also known as administration, administrative organisation, bureau, public policy and administration: generic term for the administrations that perform tasks of the state, including bodies governed by public law / is instance of academic discipline / is subclass of civil service / is subclass of Civil service / is instance of discipline
6. secret society (wd:Q276548, matched via secret organisation), also known as secret organisation, secret organization: club or organization whose activities and inner functioning are concealed from non-members / is subclass of organisation / is subclass of organization
7. advocacy group (wd:Q431603, matched via advocacy organisation), also known as activist group, activist organization, advocacy organisation, advocacy organization, interest group, etc.: groups using advocacy in order to influence public opinion and policy / is subclass of non-governmental organisation / is subclass of non-governmental organization / is subclass of special interest group / is subclass of human social group / is subclass of organisation / is subclass of organization
8. military organization (wd:Q15627509, matched via military organisation), also known as military organisation: structuring of the armed forces of a state / structuring of the armed forces of a state / is instance of type of organisation / is instance of type of organization / is subclass of armed organization / is subclass of armed organisation
9. Organisation Todt (wd:Q155433), also known as OT, Todt Organisation: Third Reich civil and military engineering group / is instance of paramilitary organization / is instance of paramilitary
10. charitable organization (wd:Q708676, matched via charitable organisation), also known as charitable organisation, charitable society, charities, charity, charity organisation, etc.: nonprofit organization with charitable purpose / is subclass of non-profit organization / is subclass of non-profit organisation / is subclass of nonprofit organization / is instance of legal form

[Assistant] I'll retrieve the statements (properties and values) for the Wikidata item for ATI Technologies (wd:Q213849) to see whether it has a dissolution date, was acquired, or has another property indicating it no longer exists.

[Tool]
Got 306 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                    | object                                                                                |
| ----------------------------- | --------------------------- | ------------------------------------------------------------------------------------- |
| ATI Technologies (wd:Q213849) | instance of (wdt:P31)       | business (wd:Q4830453)                                                                |
| ATI Technologies (wd:Q213849) | country (wdt:P17)           | Canada (wd:Q16)                                                                       |
| ATI Technologies (wd:Q213849) | Commons category (wdt:P373) | ATI Technologies                                                                      |
| ATI Technologies (wd:Q213849) | image (wdt:P18)             | <http://commons.wikimedia.org/wiki/Special:FilePath/Atitechnologiessiliconvalley.jpg> |
| ATI Technologies (wd:Q213849) | Freebase ID (wdt:P646)      | /m/01824j                                                                             |
| ATI Technologies (wd:Q213849) | inception (wdt:P571)        | 1985-08-01T00:00:00Z (xsd:dateTime)                                                   |
| ATI Technologies (wd:Q213849) | official name (wdt:P1448)   | ATI Technologies Inc. (en)                                                            |
| ATI Technologies (wd:Q213849) | official website (wdt:P856) | <http://www.ati.com/>                                                                 |
| ATI Technologies (wd:Q213849) | different from (wdt:P1889)  | ATI Systems (wd:Q76809554)                                                            |
| ATI Technologies (wd:Q213849) | owned by (wdt:P127)         | AMD (wd:Q128896)                                                                      |
| ...                           | ...                         | ...                                                                                |

[Assistant] I'll check if ATI Technologies (wd:Q213849) has a dissolution date (property P576) or is marked as instance of a defunct organisation, which would indicate it no longer exists. I'll list statements constrained to that subject and the P576 property.

[Tool]
Got 1 row and 3 columns:
| subject                       | property                                           | object                              |
| ----------------------------- | -------------------------------------------------- | ----------------------------------- |
| ATI Technologies (wd:Q213849) | dissolved, abolished or demolished date (wdt:P576) | 2011-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] I'll run an ASK query that checks whether the Wikidata item for ATI Technologies (wd:Q213849) has no dissolution date (P576). If there's no dissolution date, that suggests the company still exists; if there is a dissolution date, the ASK will return false. I'm going to execute the ASK query now.

[Tool] False

[Assistant]
Final explanation before running the final SPARQL check:
- I identified "ATI Company" as likely referring to ATI Technologies (Wikidata: wd:Q213849).
- To determine if it still exists I checked for a dissolution date (property P576). If P576 exists, the company no longer exists.
- I will run an ASK query that returns true if ATI Technologies has no dissolution date (i.e., still exists), and false otherwise. I'll provide the ASK query and the conclusion based on its result.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?instrument ?instrumentLabel WHERE {
  wd:Q1779 wdt:P1303 ?instrument .
  OPTIONAL {
    ?instrument rdfs:label ?instrumentLabel FILTER ( LANG( ?instrumentLabel ) = "en" )
  }
}

Using entities:
Louis Armstrong (wd:Q1779), also known as Dipper, Louis Daniel Armstrong, Pops, Satch, Satchelmouth, etc.

Using properties:
instrument (wd:P1303 as wdt), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.

Got 3 rows and 2 columns:
| instrument           | instrumentLabel |
| -------------------- | --------------- |
| voice (wd:Q17172850) | voice (en)      |
| cornet (wd:Q202027)  | cornet (en)     |
| trumpet (wd:Q8338)   | trumpet (en)    |

Answer:
Louis Armstrong (wd:Q1779) played the following instruments (property P1303):
- wd:Q202027 — cornet ("cornet")
- wd:Q8338 — trumpet ("trumpet")
- wd:Q17172850 — voice ("voice")

What instruments did Louis Armstrong play?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What instruments did Louis Armstrong play?

[Assistant] Step 1: I'll search for the Wikidata item for "Louis Armstrong".

[Tool]
Top 10 entity alternatives:
1. Louis Armstrong (wd:Q1779), also known as Dipper, Louis Daniel Armstrong, Pops, Satch, Satchelmouth, etc.: American jazz musician, trumpeter and singer (1901–1971) / has occupation film score composer / has occupation radio personality / has occupation recording artist / has occupation street artist / has occupation jazz musician / has occupation film actor / has occupation songwriter / has occupation bandleader / has occupation trumpeter / has occupation conductor / has occupation writer / has occupation singer / has occupation actor / is instance of human
2. Louis Armstrong (wd:Q132754304): online exhibition from Louis Armstrong House and Archives, Queens College, City University of New York / is instance of online exhibition
3. Louis Armstrong (wd:Q100721665): college basketball player (1991–1992) Northern Iowa / has occupation basketball player / is instance of human
4. Louis Armstrong (wd:Q98823980): photograph by Lisette Model (MET, 2019.33) / is instance of photograph
5. Louis Armstrong Stadium (wd:Q1029132): tennis venue in New York City from 1978 to 2016 / is instance of tennis venue
6. Louis Armstrong Park (wd:Q931042): park in New Orleans, Louisiana, U.S. / is instance of Urban park / is instance of urban park
7. Louis Armstrong House (wd:Q6686652), also known as Louis Armstrong House Museum: NY location listed on National Register of Historic Places / is instance of African-American museum / is instance of historic house museum / is instance of biographical museum / is instance of music museum
8. Louise Armstrong (wd:Q6688616): has occupation human rights activist / has occupation children's writer / American writer and feminist / has occupation writer / is instance of human
9. Louis Armstrong Stadium (wd:Q47487977): tennis stadium opened in 2018, replacing a 1978 venue of the same name / is instance of tennis venue
10. Louis Armstrong Jazzfesztivál (wd:Q65218436): is instance of music festival

[Assistant] I'll search for the property on Wikidata that denotes instruments played (likely "instrument" or "instrument played").

[Tool]
Top 10 property alternatives:
1. instrument (wd:P1303 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as instrument played, instrument(s), instruments, instrument taught, musical instrument, etc.: musical instrument that a person plays or teaches or used in a music occupation / is subproperty of uses
2. instrumentation (wd:P870 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via instruments), also known as arranged for, instruments, instruments called for, instruments employed, instruments used, etc.: combination of musical instruments employed in a composition or accompanying a (folk) dance
3. uses (wd:P2283 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via instrument played), also known as instrument played, item used, made use of, makes use of, trope used, etc.: item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520]) / item or concept used by the subject or in the operation
4. performer (wd:P175 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via musician), also known as actor, actress, artist, dancer, musical artist, etc.: actor, musician, band or other performer associated with this role or musical work / actor, musician, music group or other performer associated with this work / is subproperty of contributor to the creative work or subject
5. music created for (wd:P9899 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via music for), also known as album made for, composed for, composed for work, created for, is music for work, etc.: a work, event, etc. for which a musical composition was ... written; a film for which motion picture music was created) / is subproperty of created for
6. MIMO instrument ID (wd:P3763 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via Musical Instruments Museums Online instrument ID), also known as MIMO instrument identifier, Musical Instruments Museums Online instrument ID, Musical Instruments Museums Online instrument identifier, P3763: identifier for a musical instrument, on the instrument keyword thesaurus from Musical Instruments Museums Online
7. composer (wd:P86 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as composed by, film score by, musical score by, music by, songwriter, etc.: person(s) who wrote the music [for lyricist, use "lyrics by" (P676)] / person(s) who wrote the music; also use P676 for lyricist / person(s) who wrote the music; also use P676 for lyricist / is subproperty of creator
8. item operated (wd:P121 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via acop), also known as acop, aircraft carried, aircraft in fleet, aircraft operated, controls, etc.: equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / equipment, installation or service operated by the subject / is subproperty of uses
9. house publication (wd:P2813 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via mouthpiece), also known as has mouthpiece, house journal, house magazine, house organ, house periodical, etc.: media that speaks for an organization or a movement, and that is usually edited by its members
10. setlist (wd:P9793 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via music performed), also known as concert program, music performed, performance list, performances, set list, etc.: performances of songs or other music at an event; concert program / is subproperty of presented works

[Assistant] Step 2: I'll run a SPARQL query that retrieves the values of the "instrument" (P1303) property for Louis Armstrong (wd:Q1779). I'll also request English labels for the instruments via rdfs:label in an OPTIONAL clause so that the query returns IRIs and human-readable names.

[Tool]
Got 3 rows and 2 columns:
| instrument           | instrumentLabel |
| -------------------- | --------------- |
| voice (wd:Q17172850) | voice (en)      |
| cornet (wd:Q202027)  | cornet (en)     |
| trumpet (wd:Q8338)   | trumpet (en)    |

[Assistant] I'll now finalize by returning the SPARQL query I used (already executed above) and the answer derived from its results. The query returns the instrument items (IRIs) plus optional English labels.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?instances ?subclasses WHERE {
  {
    SELECT ( COUNT( DISTINCT ?i ) AS ?instances ) WHERE {
      ?i wdt:P31 wd:Q179651 .
    }
  }
  {
    SELECT ( COUNT( DISTINCT ?s ) AS ?subclasses ) WHERE {
      ?s wdt:P279 wd:Q179651 .
    }
  }
}

Using entities:
scale (wd:Q179651), also known as gamut, musical scale

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 1 row and 2 columns:
| instances    | subclasses   |
| ------------ | ------------ |
| 22 (xsd:int) | 26 (xsd:int) |

Answer: I interpreted "musical scale" as the Wikidata item scale (wd:Q179651). Counting items in Wikidata: there are 22 items that are instances of wd:Q179651 (wdt:P31) and 26 items that are subclasses of wd:Q179651 (wdt:P279). Note: these counts reflect Wikidata’s current content and may not represent every theoretical musical scale.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How many musical scales are there?

[Assistant] I will search Wikidata for the item representing "musical scale" to use it as a class in later queries. I'll run an entity search for "musical scale".

[Tool]
Top 10 entity alternatives:
1. scale (wd:Q179651, matched via musical scale), also known as gamut, musical scale: is instance of musical-structural concept / set of musical notes ordered by pitch / is subclass of scale
2. Japanese musical scale (wd:Q1683319): Scales used in Japanese traditional music / is instance of scale / is subclass of scale
3. A Perfect Musical Scale (wd:Q60136008): scientific article published in Nature / is instance of scholarly article / is instance of academic article
4. Synthetic Musical Scales (wd:Q58123356): is instance of scholarly article / is instance of academic article
5. MUSICAL INTELLIGENCE AND SCALE PREFERENCE. (wd:Q30335517): is instance of scholarly article / is instance of academic article / scientific article
6. Musical Scales / Something's Missing (wd:Q114551632): is instance of television series episode / episode of Dragon Tales (S3 E24)
7. Musical Scales with Pythagorean Intervals (wd:Q114036524): scientific article published in September 2020 / scientific article published in September 2020 / scientific article published in 2020 / is instance of scholarly article / is instance of academic article
8. Two-channel listening to musical scales (wd:Q31885720): is instance of scholarly article / is instance of academic article / scientific article
9. Rating scales for musical interests. (wd:Q30366718): is instance of scholarly article / is instance of academic article / scientific article
10. An illusion with musical scales (wd:Q56019595): is instance of scholarly article / is instance of academic article

[Assistant] I'll inspect the item wd:Q179651 (scale) to find its properties and whether it's the right class for musical scales. I'll list triples where wd:Q179651 is the subject.

[Tool]
Got 400 rows and 3 columns, showing the first 10 rows below:
| subject            | property                                       | object                                                           |
| ------------------ | ---------------------------------------------- | ---------------------------------------------------------------- |
| scale (wd:Q179651) | instance of (wdt:P31)                          | musical-structural concept (wd:Q116748678)                       |
| scale (wd:Q179651) | Commons category (wdt:P373)                    | Musical scales                                                   |
| scale (wd:Q179651) | subclass of (wdt:P279)                         | scale (wd:Q1959825)                                              |
| scale (wd:Q179651) | Freebase ID (wdt:P646)                         | /m/0b42b                                                         |
| scale (wd:Q179651) | GND ID (wdtn:P227)                             | <https://d-nb.info/gnd/4060402-0>                                |
| scale (wd:Q179651) | described by source (wdt:P1343)                | Small Brockhaus and Efron Encyclopedic Dictionary (wd:Q19180675) |
| scale (wd:Q179651) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                      |
| scale (wd:Q179651) | NL CR AUT ID (wdt:P691)                        | ph126170                                                         |
| scale (wd:Q179651) | topic's main category (wdt:P910)               | wd:Q7034249                                                      |
| scale (wd:Q179651) | Quora topic ID (wdt:P3417)                     | Scale-4                                                          |
| ...                | ...                                            | ...                                                              |

[Assistant] I'll search for entities matching specifically "musical scale" to find the exact class item.

[Tool]
Top 10 entity alternatives:
1. scale (wd:Q179651, matched via musical scale), also known as gamut, musical scale: is instance of musical-structural concept / set of musical notes ordered by pitch / is subclass of scale
2. Japanese musical scale (wd:Q1683319): Scales used in Japanese traditional music / is instance of scale / is subclass of scale
3. A Perfect Musical Scale (wd:Q60136008): scientific article published in Nature / is instance of scholarly article / is instance of academic article
4. Synthetic Musical Scales (wd:Q58123356): is instance of scholarly article / is instance of academic article
5. High School Musical: The Musical: The Series (wd:Q61816815, matched via High School Musical The Musical), also known as High School Musical The Musical, High School Musical The Series, HSMTMTS: 2019 American mockumentary web television series / is instance of television series / is instance of serial
6. The Musical of Musicals (wd:Q7752781): is instance of dramatico-musical work / musical
7. MUSICAL INTELLIGENCE AND SCALE PREFERENCE. (wd:Q30335517): is instance of scholarly article / is instance of academic article / scientific article
8. Musical pleasure and musical emotions (wd:Q91633325): scientific article published on 15 February 2019 / scientific article published on 15 February 2019 / scientific article published on 15 February 2019 / is instance of scholarly article / is instance of academic article
9. Riemann's Musical Dictionary / Musical Forms (wd:Q27771301): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedic article
10. Musical instrument and keyboard musical instrument (wd:Q123046386): is instance of United States patent / US patent 11322121

[Assistant] I'll inspect wd:Q116748678 (musical-structural concept) to see if it's the class we should use. I'll list triples for that entity.

[Tool]
Got 36 rows and 3 columns, showing the first 10 rows below:
| subject                                    | property               | object                                                                 |
| ------------------------------------------ | ---------------------- | ---------------------------------------------------------------------- |
| musical-structural concept (wd:Q116748678) | subclass of (wdt:P279) | musical concept (wd:Q115211517)                                        |
| musical-structural concept (wd:Q116748678) | wdt:P31279             | musical concept (wd:Q115211517)                                        |
| musical-structural concept (wd:Q116748678) | schema:description     | conceito relativo a estrutura da obra musical composta (pt)            |
| musical-structural concept (wd:Q116748678) | schema:name            | conceito estrutural da música (pt)                                     |
| musical-structural concept (wd:Q116748678) | rdf:type               | wikibase:Item                                                          |
| musical-structural concept (wd:Q116748678) | rdfs:label             | conceito estrutural da música (pt)                                     |
| musical-structural concept (wd:Q116748678) | skos:altLabel          | musical concept of structure of work (en)                              |
| musical-structural concept (wd:Q116748678) | skos:prefLabel         | conceito estrutural da música (pt)                                     |
| musical-structural concept (wd:Q116748678) | subclass of (p:P279)   | s:Q116748678-145d85ec-4cc7-d5fd-47ac-4d1b72d295af                      |
| musical-structural concept (wd:Q116748678) | schema:description     | concept musicologique relatif à la structure d'une œuvre musicale (fr) |
| ...                                        | ...                    | ...                                                                    |

[Assistant]
The item "scale" (wd:Q179651) seems to be appropriate; it is described as 'musical scale'. The user's question "How many musical scales are there?" is ambiguous: they might mean "how many distinct scales exist in music theory" which is not precisely defined. On Wikidata, "scale" has instances like specific named scales (major scale, minor scale, etc.) or perhaps subclasses. I need to clarify what to count: items that are instances of scale (wd:Q179651) or subclasses of it. I'll count both: number of items with wdt:P31 wd:Q179651 (instances) and number with wdt:P279 wd:Q179651 (subclasses). I'll run queries to count each. First, count instances (P31).
I'll run a COUNT query for items that are instance of (P31) scale (wd:Q179651).

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 22 (xsd:int) |

[Assistant] 22 items are instances of 'scale' (wd:Q179651). Now I'll count subclasses (P279).

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 26 (xsd:int) |

[Assistant] I'll run a final SPARQL query that returns two counts in one result: (1) number of items that are instances of the Wikidata item "scale" (wd:Q179651) and (2) number of items that are subclasses of "scale". This covers the two reasonable ways to count "musical scales" on Wikidata. Now I'll provide the final SPARQL query and the computed answer based on the query results.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?partner ?partnerLabel ?gender ?genderLabel WHERE {
  wd:Q6711 ( wdt:P451 | wdt:P26 ) ?partner .
  ?partner wdt:P21 ?gender .
  OPTIONAL {
    ?partner rdfs:label ?partnerLabel FILTER ( LANG( ?partnerLabel ) = "en" )
  }
  OPTIONAL {
    ?gender rdfs:label ?genderLabel FILTER ( LANG( ?genderLabel ) = "en" )
  }
}

Using entities:
Allen Ginsberg (wd:Q6711), also known as Irwin Allen Ginsberg

Using properties:
sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.
spouse (wd:P26 as wdt), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.
unmarried partner (wd:P451 as wdt), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.

Answer: The partner is Peter Orlovsky (wd:Q1983102) and his binary gender (sex or gender, P21) is male (wd:Q6581097).

What is the binary gender of the partner of Allen Ginsberg ?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What is the binary gender of the partner of Allen Ginsberg ?

[Assistant] Step 1: I'll search for Allen Ginsberg's Wikidata entity.

[Tool]
Top 10 entity alternatives:
1. Allen Ginsberg (wd:Q6711), also known as Irwin Allen Ginsberg: American poet and writer (1926–1997) / has occupation autobiographer / has occupation photographer / has occupation screenwriter / has occupation playwright / has occupation musician / has occupation teacher / has occupation diarist / has occupation writer / is instance of human / has occupation poet
2. Allen Ginsberg (wd:Q102249265): Ph.D. Rutgers University, New Brunswick 1986 / is instance of human
3. Allen Ginsberg Library (wd:Q117833470): this entity is a library in the state of colorado. it was identified and verified by the chr task force / is instance of library
4. Untitled (Allen Ginsberg) (wd:Q76558858): print in the National Gallery of Art (NGA 155538) / is instance of work of art / is instance of Work of art
5. Ginsberg, Allen (1926-1997), poet (wd:Q103859353): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedia article
6. Allen Ginsberg no number (wd:Q64163104): photograph in the National Gallery of Art (NGA 88333) / is instance of photograph
7. Allen Ginsberg no number (wd:Q64163102): photograph in the National Gallery of Art (NGA 88336) / is instance of photograph
8. Allen Ginsberg no number (wd:Q64163079): photograph in the National Gallery of Art (NGA 88334) / is instance of photograph
9. Allen Ginsberg no number (wd:Q64162264): photograph in the National Gallery of Art (NGA 88332) / is instance of photograph
10. Allen Ginsberg no number (wd:Q64162725): photograph in the National Gallery of Art (NGA 88330) / is instance of photograph

[Assistant]
Allen Ginsberg is wd:Q6711.

Step 2: Find his partners — look for property "partner" (P451) or "spouse" (P26) or "significant other". Search properties of the entity for partner.

[Tool]
Top 10 property alternatives:
1. unmarried partner (wd:P451 as p/wdt, matched via partner), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.: someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / is subproperty of significant person
2. spouse (wd:P26 as p, matched via partner), also known as common-law husband, common-law spouse, common-law wife, husband, husbands, etc.: the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / the subject has the object as their spouse (husband, wife, ... Use "unmarried partner" (P451) for non-married companions / is subproperty of significant person / is subproperty of relative
3. member of (wd:P463 as p/wdt, matched via membership), also known as band member of, in musical group, member of musical group, membership, of organization, etc.: organisation, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / is subproperty of part of
4. father (wd:P22 as p/wdt, matched via parent), also known as child of, dad, daddy, daughter of, has father, etc.: male parent of the subject. For stepfather, use "stepparent' (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / is subproperty of parent
5. ethnic group (wd:P172 as p, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
6. employer (wd:P108 as p/wdt), also known as employed by, of employer, organisation, organization, worked at, etc.: person or organization for which the subject works or worked / organisation for which the subject works or worked / organization for which the subject works or worked / is subproperty of affiliation
7. birth name (wd:P1477 as p/wdt, matched via né), also known as birthname, bn, bname, born as, full birth name, etc.: full name of a person at birth, if different from their ... John Peter Doe for Joe Doe, Ann Smith for Ann Miller) / full name of a person at birth, if different from their current, generally used name / full name of a person at birth, if different from their current name / is subproperty of name
8. field of work (wd:P101 as p/wdt, matched via purpose), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
9. occupation (wd:P106 as p/wdt, matched via profession), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
10. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category

No other items found

[Assistant] I'll list Allen Ginsberg's P451 (unmarried partner) and P26 (spouse) statements to find partners.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                     | object                       |
| ------------------------- | ---------------------------- | ---------------------------- |
| Allen Ginsberg (wd:Q6711) | unmarried partner (wdt:P451) | Peter Orlovsky (wd:Q1983102) |

[Assistant] He has unmarried partner Peter Orlovsky (wd:Q1983102). The question asks: "What is the binary gender of the partner of Allen Ginsberg ?" So they want binary gender (male/female) of that partner. We need to find Peter Orlovsky's gender (P21) and map to binary. Let's check P21 for Peter Orlovsky.

[Tool]
Got 1 row and 3 columns:
| subject                      | property                | object             |
| ---------------------------- | ----------------------- | ------------------ |
| Peter Orlovsky (wd:Q1983102) | sex or gender (wdt:P21) | male (wd:Q6581097) |

[Assistant]
Step-by-step plan:
- I will build and run a SPARQL query that finds Allen Ginsberg's partner(s) (properties P451 "unmarried partner" and P26 "spouse") and then retrieves their sex or gender (P21).
- I will execute the query to verify the result includes the partner's identifier and their gender identifier and label.

Now I will execute the SPARQL query that gets Allen Ginsberg's partner and that partner's sex or gender. The query will return the partner's IRI and the gender IRI (plus English labels as optional).

[Tool]
Got 1 row and 4 columns:
| partner                      | partnerLabel        | gender             | genderLabel |
| ---------------------------- | ------------------- | ------------------ | ----------- |
| Peter Orlovsky (wd:Q1983102) | Peter Orlovsky (en) | male (wd:Q6581097) | male (en)   |

[Assistant]
The query returned Peter Orlovsky as partner and his gender is male (wd:Q6581097). This answers the question: binary gender is male.

I'll now finalize by sending the final SPARQL query and the answer using the answer function. I must include the SPARQL query used.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?member ?memberLabel ?dob WHERE {
  wd:Q51885404 wdt:P527 ?member .
  ?member wdt:P569 ?dob .
  OPTIONAL {
    ?member rdfs:label ?memberLabel .
    FILTER ( LANG( ?memberLabel ) = "en" )
  }
}
ORDER BY DESC ( ?dob )
LIMIT 1

Using entities:
(G)I-dle (wd:Q51885404), also known as (G)I-DLE

Using properties:
has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.
date of birth (wd:P569 as wdt), also known as birth date, birthdate, birth year, birthyear, born, etc.

Answer: The youngest member of (G)I-dle is Shuhua (wd:Q55287305), born 2000-01-06.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] who is the youngested member in g-idle?

[Assistant] Step 1 — I'll search Wikidata for the entity representing the K-pop group "(G)I-DLE". I will call the entity search and then inspect the results to find the correct Q-id. I'll explain my reasoning before and after the call.

[Tool]
Top 10 entity alternatives:
1. (G)I-dle (wd:Q51885404), also known as (G)I-DLE: is instance of musical group / is instance of girl group / South Korean girl group / South Korean girl group / South Korean girl group / South Korean band
2. (G)I-DLE: I-TALK (wd:Q98844809), also known as I-Talk: original program made by Cube Entertainment, showing behind-the-scenes footage of MVs as series / is instance of Korean variety show / is instance of film
3. Hwaa (wd:Q104600483, matched via Hwaa ((G)I-dle song)), also known as Hwaa ((G)I-dle song), Hwaa (song): is instance of musical work/composition / 2021 single by (G)I-dle
4. Moon (wd:Q104969991, matched via Moon ((G)I-dle song)), also known as Moon ((G)I-dle song), Moon (G-Idle song): is instance of musical work/composition / 2021 single by (G)I-dle
5. Last Dance (wd:Q106584541, matched via Last Dance ((G)I-dle song)), also known as Last Dance ((G)I-dle song), Last Dance (G-Idle song): song written and composed by Kriz and Soyeon, adapted by GroovyRoom; recorded 2021 by (G)I-dle / is instance of musical work/composition
6. I-Land: Who Am I (wd:Q96381600, matched via 2020 (G)I-dle Online Concert 'I-Land: Who Am I'), also known as 2020 (G)I-dle Online Concert 'I-Land: Who Am I': 2020 (G)I-dle online concert / is instance of concert
7. (G)I-dle Just Me ( )I-dle in Seoul, June 2022 (wd:Q124058812): is instance of concert
8. (G)I-dle at 2020 Tainan Christmas & New Year Eve Party (wd:Q124058809)
9. (G)I-dle Just Me ( )I-dle in Monterrey, 14 August 2022 (wd:Q124058808): is instance of concert
10. (G)I-dle Just Me ( )I-dle in San Francisco, 24 July 2022 (wd:Q124058817): is instance of concert

[Assistant] I'll search for properties of the (G)I-dle entity that could list its members (e.g., "member", "has part", etc.). I'll call the property search for that entity. I'll explain before and after the call.

[Tool]
Top 10 property alternatives:
1. member count (wd:P2124 as p/wdt, matched via membership), also known as amount of members, count of members, membership, number of members, total members, etc.: number of entities that are part of an organization at a particular time / number of people who are part of an organisation at a particular time
2. has part(s) (wd:P527 as p/wdt, matched via has member), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".
3. member category (wd:P6365 as p/wdt), also known as category for members, P6365: category item for members of the organization
4. location of formation (wd:P740 as p/wdt, matched via from), also known as comes from, formation location, formation place, formed in, founded in, etc.: location where a group or organisation was formed / location where a group or organization was formed / is subproperty of location of creation
5. social media followers (wd:P8687 as p/wdt, matched via followers), also known as follow count, follower count, follower number, followers, follow number, etc.: number of subscribers on a particular social media website ... time" and property for account. For Twitter, use numeric id.
6. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
7. logo image (wd:P154 as p/wdt, matched via mark), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon
8. different from (wd:P1889 as p/wdt, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
9. name (wd:P2561 as p/wdt), also known as aka, also known as, be known as, be referred as, known as, etc.: name the subject is known by; preferably use a more specific subproperty if available
10. inception (wd:P571 as p/wdt, matched via formation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time

No other items found

[Assistant] I'll list triples where (G)I-dle (wd:Q51885404) is subject to see how members are recorded. I'll call the list function.

[Tool]
Got 378 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                               | object                                                                                |
| ----------------------- | -------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| (G)I-dle (wd:Q51885404) | instance of (wdt:P31)                  | musical group (wd:Q215380)                                                                                |
| (G)I-dle (wd:Q51885404) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11f5bxxppw>                                                                                |
| (G)I-dle (wd:Q51885404) | Commons category (wdt:P373)            | (G)I-dle                                                                                |
| (G)I-dle (wd:Q51885404) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/20241130%20%28G%29I-dle%20MMA%202024%20Red%20Carpet.jpg> |
| (G)I-dle (wd:Q51885404) | inception (wdt:P571)                   | 2018-01-01T00:00:00Z (xsd:dateTime)                                                                          |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527)                 | Jeon Soyeon (wd:Q26707915)                                                                                |
| (G)I-dle (wd:Q51885404) | country of origin (wdt:P495)           | South Korea (wd:Q884)                                                                                |
| (G)I-dle (wd:Q51885404) | official website (wdt:P856)            | <http://www.cubeent.co.kr/cube_gidle>                                                                        |
| (G)I-dle (wd:Q51885404) | genre (wdt:P136)                       | K-pop (wd:Q213665)                                                                                |
| (G)I-dle (wd:Q51885404) | different from (wdt:P1889)             | Gidle (wd:Q847181)                                                                                |
| ...                     | ...                                    | ...                                                                                |

[Assistant] I'll run a SPARQL query that gets all items linked as parts (wdt:P527) of (G)I-dle (wd:Q51885404), retrieves their dates of birth (wdt:P569), and orders by birth date descending so the most recently born (youngest) is first. I'll also include English rdfs:label as an optional field. Then I'll limit to 1 result. I'll execute that query now.

[Tool]
Got 1 row and 3 columns:
| member                | memberLabel | dob                                 |
| --------------------- | ----------- | ----------------------------------- |
| Shuhua (wd:Q55287305) | Shuhua (en) | 2000-01-06T00:00:00Z (xsd:dateTime) |

[Assistant] I will provide the final SPARQL query I executed (which returns the member IRIs and their birth dates) and the answer based on the query result. The query selects members linked via wdt:P527, retrieves their birth dates (wdt:P569), orders by birth date descending (youngest first), and limits to 1. I already executed this query and it returned Shuhua (wd:Q55287305) born 2000-01-06. Now I will finalize with the answer.

[Tool] Stopping