PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?partner ?gender WHERE {
  wd:Q6711 wdt:P451 ?partner .
  ?partner wdt:P21 ?gender .
}

The binary gender of Allen Ginsberg's partner, Peter Orlovsky, is male.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
Let's break down the question:

1. We need to identify Allen Ginsberg in Wikidata.
2. Find the partner(s) of Allen Ginsberg.
3. For each partner, determine their "binary gender" (likely "male" or "female").

First, I will search for Allen Ginsberg in Wikidata to get his entity ID.

[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)

[Assistant]
The correct entity for Allen Ginsberg, the poet, is wd:Q6711.

Next, I need to find the property that links Allen Ginsberg to his partner(s). I will search for properties related to "partner" for this entity.

[Tool]
Top 10 property alternatives:
1. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as wdt/p): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
2. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
3. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
4. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdt/p): person or organization for which the subject works or worked, affiliation
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/p): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
7. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
10. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works

No other items found

[Assistant]
The relevant properties for "partner" are:
- "unmarried partner" (wdt:P451)
- "spouse" (wdt:P26)

Since Allen Ginsberg was not married, "unmarried partner" (wdt:P451) is likely the most relevant. Next, I will check who is listed as his unmarried partner using this property.

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

[Assistant]
Allen Ginsberg's unmarried partner is Peter Orlovsky (wd:Q1983102).

Now, to answer the question, I need to determine the "binary gender" of Peter Orlovsky. I will search for the property related to "gender" and then check the value for Peter Orlovsky.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Assistant]
The property "sex or gender" (wd:P21) is the correct one to use for determining the binary gender of Peter Orlovsky.

Next, I will check the value of this property for 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 wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?member WHERE {
  wd:Q51885404 wdt:P527 ?member .
  ?member wdt:P569 ?dob .
}
ORDER BY DESC ( ?dob )
LIMIT 1

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

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
Let's break down the question:

1. We need to identify the entity for (G)I-dle (the K-pop group).
2. We need to find all members of (G)I-dle.
3. For each member, we need to get their date of birth.
4. We need to find the member with the most recent (youngest) date of birth.

First, I'll search for the entity representing (G)I-dle in Wikidata.

[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)

[Assistant]
The correct entity for the group (G)I-dle is wd:Q51885404.

Next, I need to find all members of (G)I-dle. To do this, I will look for properties related to "member" or "has member" for this entity.

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as wdt/p): number of entities that are part of an organization at a particular time
3. member category, also known as category for members (wd:P6365 as wdt/p): category item for members of the organization
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
6. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as wdt/p): name the subject is known by; preferably use a more specific subproperty if available
8. YouTube channel ID, also known as YouTube account, YouTube channel, YouTube channel identifier, official YouTube channel, youtube.com/channel/ (wd:P2397 as wdt/p): ID of the YouTube channel of a person or organisation (not to be...f the channel) The ID can also be used for music.youtube.com IDs, website username or ID
9. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as wdt/p): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Assistant]
The property "has part(s)" (wdt:P527) is often used to list members of a group or components of an entity. I will use this property to find all members of (G)I-dle.

Next, I will write a query to get all entities that are "parts" (members) of (G)I-dle, and for each, try to get their date of birth.

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

[Assistant]
From the results, the members of (G)I-dle and their dates of birth are:

- Jeon Soyeon: 1998-08-26
- Shuhua: 2000-01-06
- Song Yuqi: 1999-09-23
- Cho Mi-yeon: 1997-01-31
- Minnie: 1997-10-23
- Soojin: 1998-03-09

The youngest member is the one with the latest date of birth, which is Shuhua (2000-01-06).

Now, I will write a SPARQL query that returns the member with the latest date of birth.

[Tool]
Got 1 row and 1 column:
| ?member               |
| --------------------- |
| Shuhua (wd:Q55287305) |

[Tool] Stopped generation process


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

The author of The Hellbound Heart 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
Let's break down the question:

1. The user is asking for the author of "The Hellbound Heart".
2. I need to identify the entity for "The Hellbound Heart" in Wikidata.
3. Then, I need to find the property that links a written work to its author.

First, I'll search for "The Hellbound Heart" in Wikidata to get its entity.

[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

[Assistant]
The top result, wd:Q3521239, is "The Hellbound Heart", a novella by Clive Barker. This is the correct entity.

Next, I need to find the property that links a written work to its author. I'll search for properties related to "author".

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): subject who suggested or proposed this concept or immaterial invention
2. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): 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
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): notable scientific, artistic or literary work, or other work of significance among subject's works
5. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
6. used by, also known as armiger, user, played by, of (wd:P1535 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): item or concept that makes use of the subject (use sub-properties when appropriate)
7. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): person, profession, organization or entity that operates the equipment, facility, or service, used by
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): maker of this creative work or other object (where no more specific property exists)
9. author last names, also known as author last name, surnames, surname, last names, last name (wd:P9688 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): qualifier to provide string representation of family or primary ...presented in a bibliographic reference file (for example BibTeX), family name
10. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): use as qualifier to indicate how the object's value was given in the source, name

[Assistant]
The property "author" (wd:P50) is the main creator(s) of a written work and is the most appropriate property to use.

Now, I'll write a SPARQL query to find the author of "The Hellbound Heart" (wd:Q3521239) using the property "author" (wd:P50). I'll also try to get the label of the author for clarity.

[Tool]
Got 1 row and 2 columns:
| ?author                   | ?authorLabel |
| ------------------------- | ------------ |
| Clive Barker (wd:Q298761) | Clive Barker |

[Tool] Stopped generation process


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

No, After Eight is not manufactured by Unilever. According to Wikidata, it is manufactured by Nestlé.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] Is After Eight manufactured by Unilever?

[Assistant]
Let's break down the question:

1. "After Eight" is a product (specifically, a chocolate mint).
2. The question is asking if Unilever is the manufacturer of After Eight.

Step 1: Identify the entities for "After Eight" and "Unilever" in Wikidata.
Step 2: Identify the property for "manufacturer".
Step 3: Write an ASK query to check if Unilever is the manufacturer of After Eight.

Let's start by searching for "After Eight" in Wikidata.

[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]
Top 10 property alternatives:
1. manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): (main or final) manufacturer or producer of this product
2. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
3. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
4. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): place where the item was conceived or made; where applicable, location of final assembly, significant place
5. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
6. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): maker of this creative work or other object (where no more specific property exists)
7. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
8. brand, also known as main brand (wd:P1716 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): commercial brand associated with the item
9. author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): 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
10. serial number, also known as s/n, serial code, MSN, manufacturer serial number, construction number (wd:P2598 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): an identifier for a specific object among the same product. Not a product code or model number

[Tool] False

[Tool]
Got 1 row and 1 column:
| ?manufacturer       |
| ------------------- |
| Nestlé (wd:Q160746) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?business WHERE {
  ?business wdt:P112 wd:Q317521
}

The businesses founded by the person in charge of Tesla (Elon Musk) are: Texas Institute of Technology & Science, Thud, X Corp., X Holdings Corp, xAI, Zip2, The Boring Company, Neuralink, X.com, and PayPal, among others.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
Let's break down the question:

1. We need to identify the person in charge of Tesla.
2. Then, we need to find the businesses (companies) that this person has founded.

Step 1: Identify the entity for Tesla and find its "person in charge" (likely CEO or similar role).
Step 2: Identify the property for "founded by" and use it to find businesses founded by that person.

First, I'll search for "Tesla" in Wikidata to get its entity.

[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

[Assistant]
The correct entity for Tesla (the company) is wd:Q478214.

Next, I need to find the property that indicates the "person in charge" of a company. This could be "CEO", "chairperson", "head of organization", or similar. I will search for properties related to "person in charge" for Tesla, Inc.

[Tool]
Top 10 property alternatives:
1. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as wdt/p): 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 wdt/p): presiding member of an organization, group or body, director / manager, significant person
3. board member, also known as member of the board, member of the board of directors (wd:P3320 as wdt/p): member(s) of the board for the organization
4. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt/p): owner of the subject
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdt/p): founder or co-founder of this organization, religion, place or entity, creator
6. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
7. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
8. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as wdt/p): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
9. owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt/p): entities owned by the subject
10. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdt/p): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite

No other items found

[Assistant]
The most relevant property for "person in charge" is "chief executive officer" (CEO), which is property wd:P169.

Next, I will list the value of this property for Tesla, Inc. (wd:Q478214) to find out who the CEO is.

[Tool]
Got 1 row and 3 columns:
| subject                  | property                           | object                 |
| ------------------------ | ---------------------------------- | ---------------------- |
| Tesla, Inc. (wd:Q478214) | chief executive officer (wdt:P169) | Elon Musk (wd:Q317521) |

[Assistant]
The CEO (person in charge) of Tesla, Inc. is Elon Musk (wd:Q317521).

Now, I need to find the businesses (companies) founded by Elon Musk. For this, I will use the property "founded by" (wd:P112) and search for entities where Elon Musk is the founder.

I will construct a query to find all entities (likely businesses) where "founded by" (wdt:P112) is Elon Musk (wd:Q317521).

[Tool]
Got 13 rows and 1 column, showing the first 5 and last 5 rows below:
| ?business                                               |
| ------------------------------------------------------- |
| Texas Institute of Technology & Science (wd:Q109332244) |
| Thud (wd:Q115815194)                                    |
| X Corp. (wd:Q117617480)                                 |
| X Holdings Corp (wd:Q117705742)                         |
| xAI (wd:Q120599684)                                     |
| ...                                                     |
| Zip2 (wd:Q28222602)                                     |
| The Boring Company (wd:Q28874479)                       |
| Neuralink (wd:Q29043471)                                |
| X.com (wd:Q30686532)                                    |
| PayPal (wd:Q483959)                                     |

[Tool]
Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?business                                               | ?businessLabel                          |
| ------------------------------------------------------- | --------------------------------------- |
| Texas Institute of Technology & Science (wd:Q109332244) | Texas Institute of Technology & Science |
| Thud (wd:Q115815194)                                    | Thud                                    |
| X Corp. (wd:Q117617480)                                 | X Corp.                                 |
| X Holdings Corp (wd:Q117705742)                         | X Holdings Corp                         |
| xAI (wd:Q120599684)                                     | xAI                                     |
| ...                                                     | ...                                     |
| Zip2 (wd:Q28222602)                                     | Zip2                                    |
| The Boring Company (wd:Q28874479)                       | The Boring Company                      |
| Neuralink (wd:Q29043471)                                | Neuralink                               |
| X.com (wd:Q30686532)                                    | X.com                                   |
| PayPal (wd:Q483959)                                     | PayPal                                  |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?genre ?genreLabel ( STRLEN( REPLACE( ?genreLabel , "[^A-Za-z]" , "" ) ) AS ?englishCharCount ) WHERE {
  wd:Q68061 wdt:P136 ?genre .
  ?genre rdfs:label ?genreLabel .
  FILTER ( lang( ?genreLabel ) = "en" )
}
ORDER BY ?englishCharCount
LIMIT 1

The genre that Cage the Elephant belongs to 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
Let's break down the question:

1. We need to identify the entity "Cage the Elephant" in Wikidata.
2. We need to find all genres (likely "genre" property) associated with this band.
3. For each genre, we need to get its English label and count the number of English characters (A-Z, a-z).
4. We need to select the genre with the fewest English characters in its label.

First, I'll search for "Cage the Elephant" in Wikidata to get its entity ID.

[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

[Assistant]
The correct entity for the band "Cage the Elephant" is wd:Q68061.

Next, I need to find the genres associated with this band. The property for genre is likely "genre", but I'll verify the exact property by searching for properties related to "genre".

[Tool]
Top 10 property alternatives:
1. radio format, also known as format, radio station format, genre (wd:P415 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): describes the overall content broadcast on a radio station
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): structure of a creative work
5. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): identifier of a music genre, style, or scene on the Every Noise at Once website
6. MusicBrainz genre ID, also known as MB genre ID (wd:P8052 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): identifier for a genre on the MusicBrainz open music encyclopedia
7. for color scheme, also known as color mode, uses colour scheme, uses color scheme, theme, prefers colour scheme (wd:P8798 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): which color scheme this statement is designed for
8. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
9. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): primary topic of a work (see also P180: depicts), depicts
10. AllMusic genre/style ID, also known as AllMusic style identifier, AllMusic theme identifier, AllMusic theme ID, AllMusic style ID, AllMusic style/genre ID (wd:P9185 as wdt/ps/psn/pq/psv/p/pqn/pr/wdtn/prv/pqv/prn): ID of a music genre or style in AllMusic

[Assistant]
The correct property for genre is wd:P136.

Now, I will retrieve all genres (wdt:P136) associated with "Cage the Elephant" (wd:Q68061). For each genre, I will also retrieve its English label.

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

[Assistant]
The genres associated with Cage the Elephant are:
- alternative rock
- indie rock
- psychedelic rock
- garage rock
- punk rock
- blues

Now, I need to count the number of English characters (A-Z, a-z) in each genre's English label and select the one with the fewest. I will use SPARQL string functions to count the number of English letters in each label and then select the genre with the minimum count.

I'll construct a query that:
1. Gets all genres and their English labels.
2. Counts the number of English letters in each label.
3. Orders by this count and selects the genre with the fewest English characters.

Let's build this query.

[Tool]
Got 1 row and 3 columns:
| ?genre           | ?genreLabel | ?englishCharCount |
| ---------------- | ----------- | ----------------- |
| blues (wd:Q9759) | blues       | 5                 |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?fossilworks_id ?paleobio_id WHERE {
  VALUES ?item {
    wd:Q81214
  }
  OPTIONAL {
    ?item wdt:P842 ?fossilworks_id
  }
  OPTIONAL {
    ?item wdt:P10907 ?paleobio_id
  }
}

Wikidata does not directly state when the first sperm whales existed. However, the sperm whale (Physeter macrocephalus) has identifiers in the Fossilworks and Paleobiology Database, which contain fossil range information. You can use these IDs to look up the first appearance of sperm whales in those databases.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] When did the first sperm whales exist?

[Assistant]
To answer this question, I need to determine:

1. The entity for "sperm whale" in Wikidata.
2. The property that describes the "first appearance" or "first existence" of a species (likely something like "first appearance" or "first fossil record").
3. Whether there is a specific date or period associated with the first appearance of sperm whales.

I'll start by searching for the entity "sperm whale" in Wikidata.

[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)

[Assistant]
The main entity for the sperm whale (Physeter macrocephalus) is wd:Q81214. There is also an entity for "macroraptorial sperm whale" (wd:Q56274847), which refers to ancient predatory sperm whales from the Miocene epoch, but the primary species is wd:Q81214.

Next, I need to find the property that indicates the "first appearance" or "first existence" of a species. I'll search for properties related to "first appearance".

[Tool]
Top 10 property alternatives:
1. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): work in which a fictional/mythical character or entity first appeared, present in work
2. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): participant for whom this is their debut appearance in a series of events
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. introduced in, also known as added in, introduced by, first published in, first appeared in (wd:P10695 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): work that introduced this concept
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
6. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): date or point in time when a work was first published or released, point in time
7. 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): first time a subject was mentioned in writing
8. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
9. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): date when a bill was introduced into a legislature, inception
10. first performance by, also known as first performed by, premiered by, world premiere by, world premiere performed by, world premier performance by (wd:P11849 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): performer or performing group for the first performance of a work

[Assistant]
The property "first appearance" (wd:P4584) is mainly for fictional characters. For species, the relevant property is usually "extinction" (for last appearance) or a property like "fossil range" or "first fossil record." None of the above directly mention paleontological first appearance.

To be thorough, I'll search for properties related to "fossil range" or "first fossil record" to see if there is a more appropriate property for the first existence of a species.

[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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): range map of a taxon, image
5. image of function, also known as function range, image, range, function image (wd:P2396 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): codomain of a function
7. vehicle range, also known as operational range, range, maximum range (wd:P2073 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): range or subrange to which the geographical item belongs, geomorphological unit
9. fossil found in this unit (wd:P1137 as ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): 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 ps/p/psn/pqv/psv/pr/pq/prv/pqn/prn/wdtn/wdt): species, genus or family that an organism depends on for nutrition

[Assistant]
The property "temporal range start" (wd:P523) is described as "the start of a process or appearance of a life form or geological unit relative to the geologic time scale, start time." This is the most appropriate property for the first existence of a species.

Now, I will check if the sperm whale entity (wd:Q81214) has a value for "temporal range start" (wd:P523).

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the main sperm whale entity (wd:Q81214) does not have a "temporal range start" (wdt:P523) value directly associated with it. However, sometimes paleontological data is attached to higher taxonomic groups or to related fossil taxa.

There is also an entity for "macroraptorial sperm whale" (wd:Q56274847), which refers to ancient sperm whales. I will check if this entity has a "temporal range start" property, as it might provide information about the earliest known sperm whales.

[Tool] Got no rows and 3 columns

[Assistant]
The "macroraptorial sperm whale" entity (wd:Q56274847) also does not have a "temporal range start" value. Since neither the modern sperm whale nor this fossil group has the property, I should check if the higher taxonomic group "Physeteroidea" (the sperm whale superfamily) has this information.

I'll search for the entity "Physeteroidea" to proceed.

[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

[Assistant] The superfamily "Physeteroidea" is wd:Q21446362. I will now check if this entity has a "temporal range start" (wdt:P523) property, which could indicate the first existence of sperm whales as a group.

[Tool] Got no rows and 3 columns

[Assistant]
The "Physeteroidea" superfamily (wd:Q21446362) also does not have a "temporal range start" value. Since none of the relevant entities have this property, I should check if there is another property, such as "fossil range" or "first fossil record," that might be used instead.

I'll search for properties related to "fossil" for the sperm whale entity.

[Tool]
Top 10 property alternatives:
1. Fossilworks taxon ID (wd:P842 as wdt/p): identifier for an animal, plant, or microorganism in the Fossilworks database
2. Paleobiology Database taxon ID, also known as PaleoBioDB ID, PaleoDB ID, PBDB ID (wd:P10907 as wdt/p): identifier for a fossil taxon in the Paleobiology Database
3. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as wdt/p): level in a taxonomic hierarchy, instance of
4. main food source, also known as diet, eats, ecology (Fossilworks field  name), food plant, food source (wd:P1034 as wdt/p): species, genus or family that an organism depends on for nutrition
5. parent taxon, also known as higher taxon, taxon parent (wd:P171 as wdt/p): closest parent taxon of the taxon in question, subclass of
6. iNaturalist taxon ID (wd:P3151 as wdt/p): identifier in iNaturalist
7. taxon name, also known as correct name (ICNafp), Latin name of a taxon (deprecated), scientific name of a taxon, taxonomic name, valid name (ICZN) (wd:P225 as wdt/p): correct scientific name of a taxon (according to the reference given)
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. this taxon is source of, also known as this taxon is the source of, this taxon is a source of, natural product, taxon is source of, secretes (wd:P1672 as wdt/p): links a taxon to natural products it produces. Note that it does...s may vary. Some products may be yielded by more than one taxon.
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant]
The only fossil-related properties for the sperm whale entity are external database identifiers (Fossilworks taxon ID and Paleobiology Database taxon ID), not temporal data. Since Wikidata does not seem to have a direct property for the first existence or fossil range of sperm whales, I will check these external databases for possible information.

However, within the constraints of SPARQL and Wikidata, the best I can do is to provide the identifiers for these databases, which can then be used to look up the fossil range externally.

I will write a SPARQL query to retrieve the Fossilworks and Paleobiology Database taxon IDs for the sperm whale (wd:Q81214), as these are the best available links to the information requested.

[Tool] Stopped generation process