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

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

Louis Armstrong played the following instruments: voice, cornet, and trumpet.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] What instruments did Louis Armstrong play?

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

[Tool]
Top 10 property alternatives:
1. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as p/wdt): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)
5. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
6. Pitchfork artist ID, also known as Pitchfork, Pitchfork ID (wd:P8819 as p/wdt): identifier for musical artists on the Pitchfork website
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
8. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as p/wdt): image of a person's signature, image
9. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
10. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

No other items found

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

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| count        |
| ------------ |
| 77 (xsd:int) |

There are 77 musical scales in Wikidata based on instances of the 'musical scale' class.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] How many musical scales are there?

[Tool]
Top 10 entity alternatives:
1. scale, also known as gamut, musical scale (wd:Q179651): set of musical notes ordered by pitch
2. musical scale (wd:L490906-S1)
3. Japanese musical scale (wd:Q1683319): Scales used in Japanese traditional music
4. minor scale; musical scale (wd:L739761-S2)
5. A Perfect Musical Scale (wd:Q60136008): scientific article published in Nature
6. Synthetic Musical Scales (wd:Q58123356)
7. type of musical scale (wd:L640378-S8)
8. MUSICAL INTELLIGENCE AND SCALE PREFERENCE. (wd:Q30335517): scientific article
9. sixth note in musical scale (wd:L739149-S1)
10. sixth note of musical scale (wd:L1405299-S1)

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 47 (xsd:int) |

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 77 (xsd:int) |

[Tool] Stopped generation process


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

The binary gender of the partner of Allen Ginsberg is male (wd:Q6581097).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

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

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

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

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

[Tool] Stopped generation process


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

Shuhua (wd:Q55287305) is the youngest member of (G)I-dle.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

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

[Tool]
Top 10 entity alternatives:
1. (G)I-dle Just Me ( )I-dle in Seoul, June 2022 (wd:Q124058812)
2. (G)I-dle Just Me ( )I-dle in Monterrey, 14 August 2022 (wd:Q124058808)
3. (G)I-dle Just Me ( )I-dle in San Francisco, 24 July 2022 (wd:Q124058817)
4. Just Me ( )I-dle World Tour (wd:Q111969635): 2022 concert tour by (G)I-dle

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

[Tool]
Got 6 rows and 3 columns:
| subject                 | property               | object                     |
| ----------------------- | ---------------------- | -------------------------- |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527) | Jeon Soyeon (wd:Q26707915) |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527) | Cho Mi-yeon (wd:Q56259927) |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527) | Song Yuqi (wd:Q55287306)   |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527) | Soojin (wd:Q61100297)      |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527) | Minnie (wd:Q56761923)      |
| (G)I-dle (wd:Q51885404) | has part(s) (wdt:P527) | Shuhua (wd:Q55287305)      |

[Tool]
Got 6 rows and 3 columns:
| member                     | memberLabel      | birthDate                           |
| -------------------------- | ---------------- | ----------------------------------- |
| Shuhua (wd:Q55287305)      | Shuhua (en)      | 2000-01-06T00:00:00Z (xsd:dateTime) |
| Song Yuqi (wd:Q55287306)   | Song Yuqi (en)   | 1999-09-23T00:00:00Z (xsd:dateTime) |
| Jeon Soyeon (wd:Q26707915) | Jeon Soyeon (en) | 1998-08-26T00:00:00Z (xsd:dateTime) |
| Soojin (wd:Q61100297)      | Soojin (en)      | 1998-03-09T00:00:00Z (xsd:dateTime) |
| Minnie (wd:Q56761923)      | Minnie (en)      | 1997-10-23T00:00:00Z (xsd:dateTime) |
| Cho Mi-yeon (wd:Q56259927) | Cho Mi-yeon (en) | 1997-01-31T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?author WHERE {
  wd:Q3521239 wdt:P50 ?author .
}

The author of The Hellbound Heart (wd:Q3521239) is Clive Barker (wd:Q298761).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Who's the author of The Hellbound Heart ?

[Tool]
Top 10 entity alternatives:
1. The Hellbound Heart (wd:Q3521239): novella by Clive Barker
2. The Hellbound Heart (wd:Q131862610): 2008 HarperVoyager edition
3. Holiday Peak, also known as The Heart (wd:Q5880456): mountain in the Antarctic
4. The Heart, also known as Heart, Kokoro (wd:Q19567789): 1955 Japanese film directed by Kon Ichikawa
5. Das Herz, also known as The Heart (wd:Q49139357): opera by Hans Pfitzner
6. The Heart (wd:Q110895729): film by Kaneto Shindo
7. The Heart (wd:Q124421885): work by Hippocrates
8. The Heart, also known as Hjärtat (wd:Q10524935): 1987 film
9. The Heart, also known as Srdce (wd:Q12055804): opera by Josef Bohuslav Foerster
10. The Heart, also known as Hjärtat (wd:Q61672477): 2018 film

[Tool]
Top 10 property alternatives:
1. author, also known as writer, written by, poet, playwright, maker (wd:P50 as p/wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
2. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as p/wdt): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
3. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. Open Library ID, also known as Open Library book ID, OpenLibrary work ID, Open Library work ID, OpenLibrary identifier, Open Library identifier (wd:P648 as wdt/p/wdtn): identifier for a work ("W"), edition ("M") or author ("A") for book data of the Internet Archive
8. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as p/wdt): structure of a creative work
9. has edition or translation, also known as version, translation(s), released as, modified as, has version (wd:P747 as p/wdt): item that is an edition or translation of this item
10. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))

No other items found

[Tool]
Got 1 row and 1 column:
| author                    |
| ------------------------- |
| Clive Barker (wd:Q298761) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q388973 wdt:P176 wd:Q157062 .
}

False. After Eight is manufactured by Nestlé, not Unilever.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Is After Eight manufactured by Unilever?

[Tool]
Top 10 entity alternatives:
1. After Eight, also known as After Eight mint chocolate (wd:Q388973): chocolate brand of Nestle
2. Polar Bear, also known as After Eight, Peppermint Paddy (wd:Q7209010): mint chocolate cocktail
3. After Eight (wd:Q60786577): 1982 debut studio album by Taco
4. Dahlia 'Twyning's After Eight', also known as Twyning's After Eight (wd:Q83544826): Dahlia cultivar
5. 8 Man After, also known as Eightman After (wd:Q115948406): 1993 original video animation series
6. DeltaD, also known as after eight protein, delta-like protein D, dld, aei (wd:Q29825141): protein found in Danio rerio
7. Quarter After Eight (wd:Q15762559): journal
8. Twelve after Eight (wd:Q131628059): journal article from 'Journal of Medical Humanities' published in 2015
9. Chernobyl: eight years after (wd:Q56608399): scientific article published on 01 October 1994
10. After Eighty Study (wd:Q63818230): clinical trial

[Tool]
Top 10 entity alternatives:
1. Unilever (wd:Q157062): British multinational consumer goods company
2. Unilever, also known as UNVR, Unilever Tbk, Lever Zeepfabrieken N.V., PT Unilever  Tbk (wd:Q7885208): British company in
3. Unilever Headquarters, also known as Unilever, Weena 455 (wd:Q125679337): office building at Weena 455, Centrum, Rotterdam, the Netherlands
4. T.H. Estabrooks Co. Ltd., also known as Brooke Bond, Unilever (wd:Q116708935): Canadian business.
5. Hindustan Unilever, also known as Unilever (India), HUL, Hindustan Unilever Limited (wd:Q1619376): Indian consumer goods company
6. Unilever House (wd:Q2494434): grade II listed office building in City of London, United kingdom
7. Unilever Philippines, also known as Unilever (Philippines) (wd:Q18159894): Philippine subsidiary of Unilever
8. Unilever Pakistan, also known as Unilever Pakistan Limited (wd:Q7885211): Pakistani subsidiary of a foreign company
9. Unilever Gloucester, also known as Walls Ice Cream Factory (wd:Q96412295): food manufacturing site in Gloucester, England, UK
10. Unilever (Bydgoszcz) (wd:Q25415517): business enterprise

[Tool]
Got 1 row and 2 columns:
| manufacturer        | manufacturerLabel |
| ------------------- | ----------------- |
| Nestlé (wd:Q160746) | Nestlé (en)       |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?business ?businessLabel WHERE {
  ?business wdt:P112 wd:Q317521 ; wdt:P31 / wdt:P279 * wd:Q4830453 .
  OPTIONAL {
    ?business rdfs:label ?businessLabel FILTER ( LANG( ?businessLabel ) = "en" )
  }
}

Got 17 rows and 2 columns, showing the first 5 and last 5 rows below:
| business                        | businessLabel        |
| ------------------------------- | -------------------- |
| Thud (wd:Q115815194)            | Thud (en)            |
| X Corp. (wd:Q117617480)         | X Corp. (en)         |
| X Corp. (wd:Q117617480)         | X Corp. (en)         |
| X Corp. (wd:Q117617480)         | X Corp. (en)         |
| X Holdings Corp (wd:Q117705742) | X Holdings Corp (en) |
| ...                             | ...                  |
| Neuralink (wd:Q29043471)        | Neuralink (en)       |
| X.com (wd:Q30686532)            | X.com (en)           |
| PayPal (wd:Q483959)             | PayPal (en)          |
| PayPal (wd:Q483959)             | PayPal (en)          |
| PayPal (wd:Q483959)             | PayPal (en)          |

The businesses founded by Elon Musk (the CEO of Tesla, wd:Q317521) are:

• Thud (wd:Q115815194)
• X Corp. (wd:Q117617480)
• X Holdings Corp (wd:Q117705742)
• xAI (wd:Q120599684)
• SpaceX (wd:Q193701)
• OpenAI (wd:Q21708200)
• The Boring Company (wd:Q28874479)
• Neuralink (wd:Q29043471)
• X.com (wd:Q30686532)
• PayPal (wd:Q483959)

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Which businesses are founded by the person in charge of Tesla?

[Tool]
Top 10 entity alternatives:
1. Nikola Tesla, also known as Tesla, Nicola Tesla (wd:Q9036): Serbian-American inventor (1856–1943), mechanical engineer, electrical engineer, electrician, physicist, futurist, inventor
2. Tesla, Inc., also known as Tesla, Tesla Inc. (wd:Q478214): American automotive, energy storage and solar power company
3. tesla, also known as T (wd:Q163343): SI unit of magnetic flux density
4. Tesla (wd:Q1428953): American hard rock band
5. Nvidia Tesla, also known as NVidia Tesla, NVIDIA Tesla, Tesla (wd:Q16258100): Nvidia's brand name for their products targeting stream processing and/or general purpose GPU
6. Tesla (wd:Q88053410): 2020 film directed by Michael Almereyda
7. Tesla (wd:Q2406220): lunar crater
8. Tesla, also known as TESLA, Tesla (Czech Republic) (wd:Q1548225): Czech manufacturer of electronical and electrical equipment (est.1991)
9. Tesla, also known as NVIDIA Tesla, Nvidia Tesla, NVidia Tesla (wd:Q1050485): GPU microarchitecture designed by NVIDIA
10. Tesla, also known as Tesla, West Virginia, Tesla, WV (wd:Q7705502): unincorporated community in Braxton County, West Virginia

[Tool]
Top 10 property alternatives:
1. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): founder or co-founder of this organization, religion, place or entity, creator
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): notable scientific, artistic or literary work, or other work of significance among subject's works
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): time when an entity begins to exist; for date of official opening use P1619, start time
4. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
5. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): maker of this creative work or other object (where no more specific property exists)
6. author, also known as writer, written by, poet, playwright, maker (wd:P50 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
7. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location where a group or organization was formed, location of creation
8. discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory
9. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): most specific known birth location of a person, animal or fictional character, location

[Tool]
Top 10 property alternatives:
1. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as p/wdt): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
2. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as p/wdt): presiding member of an organization, group or body, director / manager, significant person
3. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as p/wdt): founder or co-founder of this organization, religion, place or entity, creator
4. board member, also known as member of the board, member of the board of directors (wd:P3320 as p/wdt): member(s) of the board for the organization
5. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
6. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
7. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
8. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of

No other items found

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

[Tool]
Top 10 entity alternatives:
1. business (wd:Q4830453): organization undertaking commercial, industrial, or professional activity
2. Business (wd:Q549433): song by Eminem
3. The Business, also known as Business (wd:Q1516843): 2005 film by Nick Love
4. Business (wd:Q2928733): 1960 film by Maurice Boutel
5. .business (wd:Q20571393): top-level domain
6. business assets, also known as business, goodwill (wd:Q3075818)
7. Business (wd:Q4086508): Ukrainian newspaper
8. business (wd:Q12569854)
9. business activity, also known as enterprise, commerce, business, business affairs (wd:Q19862406): economic activity done by a businessperson
10. Business (wd:Q5001666): debut EP from New Jersey, rock band Jet Lag Gemini

[Tool]
Got 1 row and 1 column:
| person                 |
| ---------------------- |
| Elon Musk (wd:Q317521) |

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

[Tool] Got no rows and 1 columns

[Tool]
Got 10 rows and 2 columns:
| business                          | businessLabel           |
| --------------------------------- | ----------------------- |
| Thud (wd:Q115815194)              | Thud (en)               |
| X Corp. (wd:Q117617480)           | X Corp. (en)            |
| X Holdings Corp (wd:Q117705742)   | X Holdings Corp (en)    |
| xAI (wd:Q120599684)               | xAI (en)                |
| SpaceX (wd:Q193701)               | SpaceX (en)             |
| OpenAI (wd:Q21708200)             | OpenAI (en)             |
| The Boring Company (wd:Q28874479) | The Boring Company (en) |
| Neuralink (wd:Q29043471)          | Neuralink (en)          |
| X.com (wd:Q30686532)              | X.com (en)              |
| PayPal (wd:Q483959)               | PayPal (en)             |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre ?label WHERE {
  wd:Q68061 wdt:P136 ?genre .
  ?genre rdfs:label ?label
  FILTER ( LANG( ?label ) = "en" ) .
}
ORDER BY STRLEN( STR( ?label ) )
LIMIT 1

The genre with the fewest English characters is “blues”.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Which genre that Cage the Elephant belongs to has the fewest english characters?

[Tool]
Top 10 entity alternatives:
1. Cage the Elephant (wd:Q68061): American rock band from Bowling Green, Kentucky
2. Cage the Elephant (wd:Q1950243): debut album by the American rock band Cage the Elephant
3. The Cage, also known as Cage, Cage, The, Pilot: The Cage (wd:Q20909): 1986 episode of Star Trek: The Original Series directed by Robert Butler
4. The Cage, also known as La Cage (wd:Q3206978): 1975 film by Pierre Granier-Deferre
5. The Cage, also known as Cage (wd:Q41016691): 2017 film by Akram Khan
6. The Cage, also known as Cage, La Cage (wd:Q7720935): 1963 film by Robert Darène
7. West Fourth Street Courts, also known as West 4th Street Courts, The Cage (wd:Q7985184): athletic venue in Manhattan, New York
8. The Cage (wd:Q3520180): album by Tygers of Pan Tang
9. The Elephant (wd:Q31645050): hill in New Zealand
10. The Cage, also known as Colivia (wd:Q29581150): Romanian film

[Tool]
Top 10 property alternatives:
1. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
2. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
6. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as p/wdt): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
9. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
10. record label, also known as label, labels (wd:P264 as p/wdt): brand and trademark associated with the marketing of subject music recordings and music videos

No other items found

[Tool]
Got 6 rows and 2 columns:
| genre                         | label                 |
| ----------------------------- | --------------------- |
| alternative rock (wd:Q11366)  | alternative rock (en) |
| indie rock (wd:Q183504)       | indie rock (en)       |
| psychedelic rock (wd:Q206159) | psychedelic rock (en) |
| garage rock (wd:Q211573)      | garage rock (en)      |
| punk rock (wd:Q3071)          | punk rock (en)        |
| blues (wd:Q9759)              | blues (en)            |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?startTime WHERE {
  wd:Q81214 wdt:P580 ?startTime .
}

The first sperm whales are recorded to have existed starting around 3,600,000 BCE (approx. 3.6 million years ago).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] When did the first sperm whales exist?

[Tool]
Top 10 property alternatives:
1. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
2. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
3. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
4. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work

No other items found

[Tool]
Top 10 property alternatives:
1. taxon range, also known as geographic range of taxon, taxon geographic range, range of taxon, range, geographic range (wd:P9714 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): geographic area(s) where a taxon is found
2. temporal range end, also known as geologic time frame end, geologic time range end (wd:P524 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the end of a process such as a geological unit or extinction of a life form relative to the geologic time scale, end time
3. temporal range start, also known as geochronologic start, geologic time range start (wd:P523 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the start of a process or appearance of a life form or geological unit relative to the geologic time scale, start time
4. taxon range map image, also known as distribution map (taxa), spread map, range map, occurrence data map (wd:P181 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): range map of a taxon, image
5. image of function, also known as function range, image, range, function image (wd:P2396 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): set of values that a mathematical function actually takes
6. codomain, also known as codomain of a function, function codomain, range, to (wd:P1571 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): codomain of a function
7. vehicle range, also known as operational range, range, maximum range (wd:P2073 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): distance a vehicle can travel without refuelling, length
8. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): range or subrange to which the geographical item belongs, geomorphological unit
9. fossil found in this unit (wd:P1137 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): fossils that are found in this stratigraphic unit
10. main food source, also known as diet, eats, ecology (Fossilworks field  name), food plant, food source (wd:P1034 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): species, genus or family that an organism depends on for nutrition

[Tool]
Top 10 entity alternatives:
1. sperm whale, also known as cachalot, Physeter macrocephalus (wd:Q81214): largest species of toothed whale
2. Sperm Whale, also known as Nahang-e-Anbar (wd:Q20111251): 2015 film directed by Saman Moghadam
3. Sperm whale (wd:Q115479916): water colour painting of a sperm whale
4. sperm whale, also known as cachalot (wd:Q113680749): fictional monster from Dungeons & Dragons
5. sperm whale (wd:L591643-S1)
6. pygmy sperm whale, also known as Kogia breviceps (wd:Q244300): species of mammal
7. dwarf sperm whale, also known as Kogia sima (wd:Q42669): species of mammal
8. macroraptorial sperm whale, also known as raptorial sperm whale (wd:Q56274847): highly predatory whales of the sperm whale superfamily (Physeteroidea) of the Miocene epoch
9. Sperm Whale Head (wd:Q21903224): point in Australia
10. High-finned sperm whale, also known as high-finned cachalot (wd:Q99565665): species of whale (Cryptid)

[Tool] Got no rows and 2 columns

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
5. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
6. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
7. MeSH descriptor ID, also known as MeSH ID, MeSH Unique ID, UI (wd:P486 as wdt/p/wdtn): identifier for Descriptor or Supplementary concept in the Medical Subject Headings controlled vocabulary
8. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
9. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdt/p/wdtn): identifier from an international authority file of names, subjects, and organizations
10. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as p/wdt): level in a taxonomic hierarchy, instance of

No other items found

[Tool]
Top 10 property alternatives:
1. fossil found in this unit (wd:P1137 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): fossils that are found in this stratigraphic unit
2. Fossilworks reference ID, also known as Fossilworks article ID, Fossilworks paper ID (wd:P7720 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a reference (scholarly articles) in the Fossilworks database
3. Fossilworks taxon ID (wd:P842 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for an animal, plant, or microorganism in the Fossilworks database
4. age estimated by a dating method, also known as stellar age, geological age, dating (wd:P7584 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): estimation of the age of a star, geological feature, fossil or object
5. Paleobiology Database taxon ID, also known as PaleoBioDB ID, PaleoDB ID, PBDB ID (wd:P10907 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a fossil taxon in the Paleobiology Database
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. found in taxon, also known as present in taxon, found in species (wd:P703 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the taxon in which the item can be found, part of
8. taxonomic type, also known as genotype, species typica, type, type genus, type species (wd:P427 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): type genus or species: [in zoology:] nominal genus or species th...t is the name-bearing type of this nominal species or subspecies
9. Paleobiology Database reference ID, also known as Paleobiology Database ID for the journal article (wd:P12793 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for bibliographic references in the Paleobiology Database
10. derived from organism type, also known as derived from organism of taxon, originated from individual of taxon, taxon of origin (wd:P9072 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the taxon that the organism from which the subject cell line was...cause cell lines are derived only once from a single individual)

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                 | property              | object                                 |
| ----------------------- | --------------------- | -------------------------------------- |
| sperm whale (wd:Q81214) | start time (wdt:P580) | -3600000-01-01T00:00:00 (xsd:dateTime) |

[Tool]
Top 10 property alternatives:
1. taxon range, also known as geographic range of taxon, taxon geographic range, range of taxon, range, geographic range (wd:P9714 as p/wdt): geographic area(s) where a taxon is found
2. taxon range map image, also known as distribution map (taxa), spread map, range map, occurrence data map (wd:P181 as p/wdt): range map of a taxon, image
3. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
4. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as p/wdt): level in a taxonomic hierarchy, instance of
7. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
10. main food source, also known as diet, eats, ecology (Fossilworks field  name), food plant, food source (wd:P1034 as p/wdt): species, genus or family that an organism depends on for nutrition

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Physeteroidea, also known as Physiteroidea (wd:Q21446362): superfamily of whales (Cetacea)
2. Macroraptorial sperm whales (Cet...roidea) from the Miocene of Peru (wd:Q55868672): scholarly article by Olivier Lambert et al published September 2016 in Zoological Journal of the Linnean Society
3. ‘Aulophyseter’ rionegrensis (Cet...gonia (Argentina): a reappraisal (wd:Q110669611): scholarly article published in 2020
4. A new stem-sperm whale (Cetacea,... from the Latest Miocene of Peru (wd:Q54086928): scholarly article by Olivier Lambert et al published August 2008 in Comptes Rendus Palevol
5. A fossil sperm whale (Cetacea, P...ru, equatorial southwest Pacific (wd:Q55983268): scholarly article by Erich M. G. Fitzgerald published July 2011 in Journal of Vertebrate Paleontology
6. First record of a macroraptorial...a) from the Miocene of Argentina (wd:Q128652853): scholarly article
7. A Sperm Whale (Cetacea: Physeter...ntina. Environment and Taphonomy (wd:Q63383487): article
8. Fossil Pygmy Sperm Whales (Odont...ma and Early Pliocene of Florida (wd:Q127715972): scholarly article
9. A new longirostrine sperm whale ...o Basin (southern coast of Peru) (wd:Q106699541): scholarly article by Olivier Lambert et al published 21 September 2020 in Journal of Systematic Palaeontology
10. New finds of giant raptorial spe...nce of Zeeland, the Netherlands) (wd:Q100681272): scientific article published in 2017

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): earliest date at which an event could have happened. Use as qualifier for other date properties
2. time of earliest written record, also known as date of first written record, earliest record, first attestation, first attested, first historic record (wd:P1249 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): first time a subject was mentioned in writing
3. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): latest possible time that something could have occurred. Use as qualifier for other date properties
4. first attested from, also known as first attested in, first known use, form of word first attested in (wd:P6684 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): to indicate the first ''known'' usage of a word
5. longest observed lifespan, also known as maximum age, oldest recorded individual, oldest observed, maximum life span, highest observed lifespan (wd:P4214 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): age of the oldest specimen of a taxon for which the age can be verified
6. earliest end date, also known as end date (earliest) (wd:P8554 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): (qualifier) earliest date on which the statement could have begun to no longer be true, earliest date, end time
7. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): work in which a fictional/mythical character or entity first appeared, present in work
8. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
9. date of baptism, also known as christened, time of christening, time of baptism, date of christening, date of baptism in early childhood (wd:P1636 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date when a person was baptized. For times when only baptism rec...were available, this can be a good substitute for date of birth., start time
10. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date or point in time when the item was discovered or invented

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P106 wd:Q11397897 ; wdt:P172 wd:Q2292830 ; wdt:P26 ?spouse .
  ?spouse wdt:P31 wd:Q2035494 .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}

The swordfighter is Aragorn (wd:Q180322).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] which swordfighter in the lord of the rings marry a half-elven and belong to rangers of the north?

[Tool]
Top 10 entity alternatives:
1. Rangers of the North (wd:Q2292830): Human group from J. R. R. Tolkien's legendarium
2. Rangers of the North: The Kingdom of Arthedain (wd:Q65058758)
3. Edinburgh, also known as Edina, Modern Athens, Edinburgh, Scotland, Edinburg, Dùn Èideann (wd:Q23436): capital city of Scotland, UK
4. Manchester, also known as Cottonopolis, Warehouse City, Manchester, UK, Manchester, Lancashire, Manchester, England (wd:Q18125): major city in Greater Manchester, England, UK
5. Walter Scott, also known as Somnambulus, The Great Unknown, Sir Walter Scott, Bart., Wizard of the North, Walter Skott (wd:Q79025): Scottish novelist, poet and playwright (1771–1832), short story writer, literary critic, musicologist, poet lawyer, translator, biographer, playwright, historian, novelist, linguist, lawyer, writer, judge, poet
6. Carl XII of Sweden, also known as Alexander of the North, Madman of the North, Charles XII, Carl XII von Holstein-Gottorp, King of Sweden (wd:Q52934): The fifth and last emperor of Sweden (1697–1718), military leader, monarch
7. Battle of Mogadishu, also known as Battle of Bakara Market, Day of the Rangers, Black Hawk Down (wd:Q52226): battle fought on 3 and 4 October 1993, in Mogadishu, Somalia
8. Nanook of the North (wd:Q918401): 1922 film by Robert J. Flaherty
9. Angel of the North, also known as The Angel of the North (wd:Q1325290): sculpture by Antony Gormley
10. Norm of the North (wd:Q16253705): 2016 film directed by Trevor Wall

[Tool]
Top 10 entity alternatives:
1. Arwen, also known as Arwen Evenstar, Arwen Undómiel, Evenstar, Undómiel (wd:Q206018): fictional character from J.R.R. Tolkien's legendarium
2. Arwen (wd:Q20000157): female given name
3. Arwen, also known as IMO 9411288 (wd:Q105767295): ship built in 2007
4. Arwen, also known as Arwen (surname), Arwen (family name) (wd:Q107378676): family name
5. Arwen, also known as Arwen, S.T., S.H., M.H. (wd:Q123871625): Indonesian politician (born 1958 in Pekanbaru), politician
6. Arwen (wd:Q18940704): street in Geldrop, the Netherlands
7. ARWEN 37 (wd:Q2819392): non-lethal launcher
8. Arwen Humphreys (wd:Q110682386): television actor, voice actor, actor
9. Arwen Elys Dayton, also known as Arwen Dayton (wd:Q61731671): American science fiction, fantasy and speculative fiction writer, science fiction writer, screenwriter, writer
10. Arwen Colles (wd:Q4802554): colles on Titan

[Tool]
Top 10 entity alternatives:
1. Aragorn, also known as Strider, Thorongil, Telcontar, Elessar, Aragorn II (wd:Q180322): fictional character from J.R.R. Tolkien's legendarium, military leader, swordfighter
2. Aragorn I, also known as Aragorn (wd:Q2608783): fictional character from J.R.R. Tolkien's legendarium
3. Aragorn (wd:Q3549229): fictional winged horse in the Marvel Universe
4. Aragorn (wd:Q4783733): racehorse
5. Aragorn (wd:Q2450588): music from Hardy Mertens
6. Aragorn (wd:Q18241882): rock group
7. Aragorn, also known as Aragorn, Geldrop (wd:Q18939906): street in Geldrop, the Netherlands
8. Mount Aragorn (wd:Q22413859): mountain in British Columbia, Canada
9. Aragorn (Strider) (wd:Q63882948): musical character in the musical Lord of the Rings by A. R. Rahman
10. Aragorn Place, also known as Aragon Place (wd:Q110528035): residential street

[Tool]
Top 10 entity alternatives:
1. swordfighter, also known as sword-fighter, swordsman, swordsmen, swordswoman (wd:Q11397897): person who fights with a sword
2. The tale of the sword - swords a...ordfighters in Bronze Age Europe (wd:Q56826244): scholarly article by Kristian Kristiansen published in November 2002
3. Tales of Hoards and Swordfighter...ia: The Brand New and the Broken (wd:Q58587763): scholarly article by Lene Melheim published in January 2014

[Tool]
Got 1 row and 3 columns:
| subject              | property             | object                               |
| -------------------- | -------------------- | ------------------------------------ |
| Aragorn (wd:Q180322) | member of (wdt:P463) | Fellowship of the Ring (wd:Q2071479) |

[Tool]
Got 2 rows and 3 columns:
| subject              | property              | object                        |
| -------------------- | --------------------- | ----------------------------- |
| Aragorn (wd:Q180322) | occupation (wdt:P106) | military leader (wd:Q1402561) |
| Aragorn (wd:Q180322) | occupation (wdt:P106) | swordfighter (wd:Q11397897)   |

[Tool]
Got 3 rows and 3 columns:
| subject            | property              | object                                 |
| ------------------ | --------------------- | -------------------------------------- |
| Arwen (wd:Q206018) | instance of (wdt:P31) | half-elven (wd:Q2035494)               |
| Arwen (wd:Q206018) | instance of (wdt:P31) | literary character (wd:Q3658341)       |
| Arwen (wd:Q206018) | instance of (wdt:P31) | fantasy film character (wd:Q117289741) |

[Tool]
Got 1 row and 3 columns:
| subject            | property         | object               |
| ------------------ | ---------------- | -------------------- |
| Arwen (wd:Q206018) | spouse (wdt:P26) | Aragorn (wd:Q180322) |

[Tool]
Got 86 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                            | object                                     |
| ---------------------------------- | ----------------------------------- | ------------------------------------------ |
| Rangers of the North (wd:Q2292830) | instance of (wdt:P31)               | Middle-earth people (wd:Q17412916)         |
| Rangers of the North (wd:Q2292830) | subclass of (wdt:P279)              | Dúnedain (wd:Q748994)                      |
| Rangers of the North (wd:Q2292830) | topic's main category (wdt:P910)    | wd:Q8395468                                |
| Rangers of the North (wd:Q2292830) | from narrative universe (wdt:P1080) | Tolkien's legendarium (wd:Q81738)          |
| Rangers of the North (wd:Q2292830) | Freebase ID (wdt:P646)              | /m/029n8q                                  |
| Rangers of the North (wd:Q2292830) | Comic Vine ID (wdt:P5905)           | 4060-59180                                 |
| Rangers of the North (wd:Q2292830) | Tolkien Gateway ID (wdt:P11935)     | Rangers_of_the_North                       |
| Rangers of the North (wd:Q2292830) | schema:description                  | grupa z legendarium J. R. R. Tolkiena (pl) |
| Rangers of the North (wd:Q2292830) | schema:name                         | Dírhael (cs)                               |
| Rangers of the North (wd:Q2292830) | rdf:type                            | wikibase:Item                              |
| ...                                | ...                                 | ...                                        |

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. armament, also known as armed with, ship armament, weapon, wields (wd:P520 as p/wdt): equippable weapon item for the subject, has facility
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as p/wdt): generic character type that this fictional character represents, manifestation of
7. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
10. enemy, also known as opponent, rival, archvillain, archrival, archnemesis (wd:P7047 as p/wdt): opponent character or group of this fictive character or group, significant person

No other items found

[Tool]
Got 1 row and 3 columns:
| subject              | property                | object                             |
| -------------------- | ----------------------- | ---------------------------------- |
| Aragorn (wd:Q180322) | ethnic group (wdt:P172) | Rangers of the North (wd:Q2292830) |

[Tool]
Top 10 entity alternatives:
1. The Lord of the Rings, also known as Lord of the Rings, LotR, TLotR (wd:Q15228): 1954–1955 fantasy novel trilogy by J. R. R. Tolkien
2. The Lord of the Rings trilogy, also known as Lord of the Rings, LotR, The Lord of the Rings (wd:Q190214): 2001-2003 three films directed by Peter Jackson
3. Sauron, also known as Necromancer, Mairon, Lord of the Rings, Aulendil, Gorthaur (wd:Q2281): fictional character from J.R.R. Tolkien's legendarium, fictional tyrant, necromancer
4. The Lord of the Rings, also known as Lord of the Rings (wd:Q378913): 1978 animated film by Ralph Bakshi
5. Lord of the Rings (wd:Q905691): stage musical
6. Lord of the Rings (wd:Q1194258): board game
7. Symphony No. 1 "The Lord of the Rings", also known as The Lord of the Rings (wd:Q268133): musical work; symphony in five movements composed by Johan de Meij
8. Themes of The Lord of the Rings (wd:Q7781266): Academic analyses of The Lord of the Rings
9. The Lord of the Rings (wd:Q3227050): 1981 British radio drama series
10. The Lord of the Rings (wd:Q3227049): 1979 radio series

[Tool] Stopped generation process