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

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 start by looking at some examples.

[Tool]
Example 1:
Question:
Which television shows were created by John Cleese?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q5398426 .
  {
    ?uri wdt:P170 wd:Q25014 .
  } UNION {
    ?uri wdt:P170 / wdt:P527 wd:Q25014 .
  }
}

Using entities:
John Cleese, also known as John Marwood Cleese (wd:Q25014): English comedian and actor (born 1939), television actor, autobiographer, film producer, film director, screenwriter, stage actor, voice actor, film actor, comedian, writer, actor
television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

Example 2:
Question:
Give me the runtime of Toy Story.

SPARQL:
SELECT ?val WHERE {
  wd:Q171048 wdt:P2047 ?val .
}

Using entities:
Toy Story, also known as Toy Story 1 (wd:Q171048): 1995 American animated film

Using properties:
duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as wdt): length of time of an event or process

Example 3:
Question:
How many languages are spoken in Turkmenistan?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) as ?c ) WHERE {
  wd:Q874 wdt:P2936 ?uri .
}

Using entities:
Turkmenistan, also known as TKM, tm, Turkmenia (wd:Q874): country in Central Asia

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

[Assistant] From the examples, we can see that to find the author of a book, we need to identify the book and then look for the property that links the book to its author. Let's first search for the entity "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

[Assistant] The correct entity for "The Hellbound Heart" is `wd:Q3521239`. Now let's find out what property connects a book to its author. We can search for properties related to "author" or "written by".

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): use as qualifier to indicate how the object's value was given in the source, name

[Assistant] The property `wd:P50` seems to be the most relevant for connecting a book to its author. Let's confirm this by checking the triples where `wd:Q3521239` is the subject and `wd:P50` is the property.

[Tool]
Got 1 row and 3 columns:
| subject                           | property         | object                    |
| --------------------------------- | ---------------- | ------------------------- |
| The Hellbound Heart (wd:Q3521239) | author (wdt:P50) | Clive Barker (wd:Q298761) |

[Assistant]
The author of "The Hellbound Heart" is `wd:Q298761`, which corresponds to Clive Barker.

Now, let's construct the final SPARQL query to retrieve this information.

```sparql
SELECT ?author WHERE {
  wd:Q3521239 wdt:P50 ?author .
}
```

I will now execute this query to confirm the result.

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

[Assistant]
The author of "The Hellbound Heart" is Clive Barker, with the identifier `wd:Q298761`.

Here is the final SPARQL query and answer:

```sparql
SELECT ?author WHERE {
  wd:Q3521239 wdt:P50 ?author .
}
```

Answer: Clive Barker (wd:Q298761)

[Tool] Stopped generation process


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

No

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
Which companies produce hovercrafts?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?hovercraft wdt:P31 / wdt:P279 * wd:Q185757 ; wdt:P176 ?uri .
}

Using entities:
hovercraft, also known as ACV, air-cushion vehicle (wd:Q185757): vehicle capable of movement within ground effect at speed or stationary over all surfaces without contact

Using properties:
manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as wdt): (main or final) manufacturer or producer of this product
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
What is the timezone in San Pedro de Atacama?

SPARQL:
SELECT DISTINCT ?o1 WHERE {
  wd:Q187893 wdt:P421 ?o1 .
}

Using entities:
San Pedro de Atacama (wd:Q187893): town in Chile

Using properties:
located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt): time zone for this item

Example 3:
Question:
List the seven kings of Rome.

SPARQL:
SELECT * WHERE {
  ?res wdt:P39 wd:Q55375123 .
}

Using entities:
King of Rome, also known as Rex, rex Romae (wd:Q55375123): the chief magistrate of the ancient Roman Kingdom (for the medieval German title, use Q782985)

Using properties:
position held, also known as function, held position, holds position, job, office held (wd:P39 as wdt): subject currently or formerly holds the object position or public office

[Assistant] Based on the examples, we need to identify the entities and properties relevant to our question. We need to find out if "After Eight" is manufactured by "Unilever". Let's first search for the entities "After Eight" and "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

[Assistant] The top result for "After Eight" is the chocolate brand (wd:Q388973). Now let's search for "Unilever".

[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

[Assistant]
The top result for "Unilever" is the British multinational consumer goods company (wd:Q157062).

Now that we have identified the entities, we need to check if "After Eight" (wd:Q388973) is manufactured by "Unilever" (wd:Q157062). We can use the `manufacturer` property (wdt:P176) to check this relationship.

Let's run a SPARQL query to see if "After Eight" is manufactured by "Unilever".

[Tool] False

[Assistant]
The SPARQL query returned `False`, indicating that "After Eight" is not manufactured by "Unilever".

Therefore, the answer to the question "Is After Eight manufactured by Unilever?" is **No**.

[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 Elon Musk are: Texas Institute of Technology & Science, Thud, X Corp., X Holdings Corp, xAI, Zip2, The Boring Company, Neuralink, X.com, PayPal.

[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 start by looking at some examples.

[Tool]
Example 1:
Question:
Who is the president of Eritrea?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q986 wdt:P35 ?uri
}

Using entities:
Eritrea, also known as er, ERI, Ertrā, IRI, Iritriyā (wd:Q986): country in the Horn of Africa

Using properties:
head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as wdt): official with the highest formal authority in a country/state, director / manager, chairperson

Example 2:
Question:
When was the last episode of the TV series Friends aired?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q79784 wdt:P582 ?uri .
}

Using entities:
Friends, also known as F.R.I.E.N.D.S, F.R.I.E.N.D.S. (wd:Q79784): American sitcom (1994–2004)

Using properties:
end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time

Example 3:
Question:
Give me all soccer clubs in Spain.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q476028 .
  ?uri wdt:P17 wd:Q29 .
}

Using entities:
Spain, also known as Kingdom of Spain (wd:Q29): country in southwestern Europe with territories in Africa
association football club, also known as association soccer club, F.C., FC, football club, soccer club (wd:Q476028): sports club devoted to association football (soccer)

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

[Assistant] From the examples, we can see how to structure a SPARQL query to find specific information about entities. In our case, we need to identify the person in charge of Tesla and then find the businesses they have founded. Let's start by identifying the entity for Tesla and the person in charge of it.

[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 automotive and energy company, is `wd:Q478214`. Next, we need to find the person in charge of Tesla. We can use the property "CEO" or "founder" to identify this person. Let's search for the CEO of Tesla.

[Tool]
Top 10 property alternatives:
1. chief executive officer, also known as executive director, CEO, chief executive (wd:P169 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): highest-ranking corporate officer appointed as the CEO within an organization, director / manager, corporate officer
2. chief operating officer, also known as COO (wd:P1789 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): the chief operating officer of an organization
3. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): position of the head of this item
4. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): presiding member of an organization, group or body, director / manager, significant person
5. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person who manages any kind of group, significant person
6. corporate officer, also known as executive officer (wd:P2828 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): person who holds a specific position, director / manager
7. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): founder or co-founder of this organization, religion, place or entity, creator
8. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): organization which is directed by this office
9. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): official with the highest formal authority in a country/state, director / manager, chairperson
10. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): senior official in an educational institution., director / manager, chairperson

[Assistant] The property for "CEO" is `wd:P169`. Now, let's use this property to find the CEO of Tesla, Inc. (`wd:Q478214`).

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

[Assistant] The CEO of Tesla, Inc. is Elon Musk (`wd:Q317521`). Next, we need to find the businesses that Elon Musk has founded. We can use the property "founded by" to identify these businesses.

[Tool]
Top 10 property alternatives:
1. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
4. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): location where a group or organization was formed, location of creation
5. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): text through which an institution or object has been created or established
6. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): organization or person that developed the item, creator
7. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): maker of this creative work or other object (where no more specific property exists)
9. discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory
10. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): owner of the subject

[Assistant] The property for "founded by" is `wd:P112`. Now, let's use this property to find the businesses that Elon Musk has founded.

[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)                                     |

[Assistant]
The businesses founded by Elon Musk include:

- 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)

Here is the final SPARQL query and the answer:

```sparql
SELECT ?business WHERE {
  ?business wdt:P112 wd:Q317521
}
```

The businesses founded by Elon Musk are:
- Texas Institute of Technology & Science
- Thud
- X Corp.
- X Holdings Corp
- xAI
- Zip2
- The Boring Company
- Neuralink
- X.com
- PayPal

[Tool] Stopped generation process


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

The genre with the fewest English characters that Cage the Elephant belongs to 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 start by looking at some examples.

[Tool]
Example 1:
Question:
When did the Ming dynasty dissolve?

SPARQL:
SELECT DISTINCT ?date WHERE {
  wd:Q9903 wdt:P576 ?date .
}

Using entities:
Ming dynasty, also known as Ming period, Ming imperium, Ming China, Ming-era, Ming Empire (wd:Q9903): imperial dynasty of China from 1368 to 1644

Using properties:
dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

Example 2:
Question:
What is the total population of Melbourne, Florida?

SPARQL:
SELECT DISTINCT ?val WHERE {
  wd:Q949779 wdt:P1082 ?val .
}

Using entities:
Melbourne, also known as Melbourne, FL, Melbourne, Florida (wd:Q949779): city in Brevard County, Florida, United States of America

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject

Example 3:
Question:
What country is Mount Everest in?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q513 wdt:P17 ?uri .
}

Using entities:
Mount Everest, also known as Chomolungma, Chomolangma, Zhumulangma, World highest peak, Sagarmāthā (wd:Q513): Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Assistant]
Based on the examples, we need to identify the entity for "Cage the Elephant" and the property for "genre". Then we can construct a query to find the genre with the fewest English characters.

First, let's search for the entity "Cage the Elephant".

[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 "Cage the Elephant" is `wd:Q68061`. Now, let's find the property for "genre".

I will search for the property "genre" to ensure we have the correct property.

[Tool]
Top 10 property alternatives:
1. radio format, also known as format, radio station format, genre (wd:P415 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): ID of a music genre or style in AllMusic

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

Now, let's construct a SPARQL query to find the genres associated with "Cage the Elephant" and then determine which genre has the fewest English characters.

Here is the initial query to find the genres:

```sparql
SELECT ?genre ?genreLabel
WHERE {
  wd:Q68061 wdt:P136 ?genre .
  OPTIONAL { ?genre rdfs:label ?genreLabel . FILTER(LANG(?genreLabel) = "en") }
}
```

Let's execute this query to see the results.

[Tool]
Got 6 rows and 2 columns:
| genre                         | genreLabel            |
| ----------------------------- | --------------------- |
| 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)            |

[Assistant]
We have the genres associated with "Cage the Elephant". Now, we need to determine which genre has the fewest English characters. We can do this by adding a `MIN` function to our query and ordering the results by the length of the genre label.

Here is the updated query:

```sparql
SELECT ?genre ?genreLabel (STRLEN(?genreLabel) AS ?length)
WHERE {
  wd:Q68061 wdt:P136 ?genre .
  OPTIONAL { ?genre rdfs:label ?genreLabel . FILTER(LANG(?genreLabel) = "en") }
}
ORDER BY ASC(?length)
LIMIT 1
```

Let's execute this query to find the genre with the fewest English characters.

[Tool]
Got 1 row and 3 columns:
| genre            | genreLabel | length      |
| ---------------- | ---------- | ----------- |
| blues (wd:Q9759) | blues (en) | 5 (xsd:int) |

[Assistant]
The genre with the fewest English characters for "Cage the Elephant" is "blues".

Here is the final SPARQL query and the answer:

```sparql
SELECT ?genre ?genreLabel (STRLEN(?genreLabel) AS ?length)
WHERE {
  wd:Q68061 wdt:P136 ?genre .
  OPTIONAL { ?genre rdfs:label ?genreLabel . FILTER(LANG(?genreLabel) = "en") }
}
ORDER BY ASC(?length)
LIMIT 1
```

Answer: The genre with the fewest English characters that Cage the Elephant belongs to is "blues".

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?start_time WHERE {
  wd:Q3382003 wdt:P580 ?start_time
}

The first sperm whales existed around 5.3 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 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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Where did Abraham Lincoln die?

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

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

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

Example 2:
Question:
Where does Piccadilly start?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1124023 wdt:P559 ?uri
}

Using entities:
Piccadilly (wd:Q1124023): road in the City of Westminster, London, England

Using properties:
terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as wdt): the feature (intersecting road, train station, etc.) at the end of a linear feature

Example 3:
Question:
Which museum exhibits The Scream by Munch?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q471379 wdt:P527 / wdt:P276 ?uri .
  ?uri wdt:P31 wd:Q207694
}

Using entities:
art museum, also known as museums of art, museum of art, art museums (wd:Q207694): building or space for the exhibition of art (for institution, use Q3196771)
The Scream, also known as Scream (wd:Q471379): group of paintings by Edvard Munch

Using properties:
location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

[Assistant] Based on the examples, we need to identify the entity for sperm whales and the property for the time when they first existed. Let's start by searching for the entity "sperm whale".

[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 correct entity for sperm whale is the first option: "sperm whale, also known as cachalot, Physeter macrocephalus (wd:Q81214)". Now let's find the property that indicates when the first sperm whales existed. We can try searching for properties related to "first appearance" or "origin".

[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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): performer or performing group for the first performance of a work

[Assistant] The property "time of earliest written record" (wd:P1249) seems relevant, but it might not be the best fit since it refers to the first written record rather than the biological origin. A better property might be "inception" (wd:P571), which refers to the time when an entity begins to exist. Let's check if the sperm whale entity has a value for this property.

[Tool] Got no rows and 1 columns

[Assistant] It appears that the sperm whale entity does not have a value for the "inception" property. Let's try another approach by searching for properties related to "origin" or "evolution" to see if there is a more suitable property.

[Tool]
Top 10 property alternatives:
1. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
2. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): place where the item was conceived or made; where applicable, location of final assembly, significant place
3. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): location where a group or organization was formed, location of creation
4. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
6. derived from lexeme, also known as derived from, etymology, history of a word, loaned from, origin of a word (wd:P5191 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): most direct lexeme(s) this one has developed from
7. EA games ID, also known as Origin ID (wd:P8261 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): identifier for a product on the Electronic Arts digital store
8. derived from organism type, also known as derived from organism of taxon, originated from individual of taxon, taxon of origin (wd:P9072 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): the taxon that the organism from which the subject cell line was...cause cell lines are derived only once from a single individual)
9. stated in, also known as cited from, stated on, stated at, source of claim, originating source (wd:P248 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): to be used in the references field to refer to the information d...805; for the type of document in which a claim is made use P3865
10. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): underlying cause, entity that ultimately resulted in this effect, follows

[Assistant] None of these properties seem to directly indicate the time when the first sperm whales existed. However, the property "indigenous to" (wd:P2341) might be useful if it points to a location where sperm whales originated. Let's check if the sperm whale entity has a value for this property.

[Tool] Got no rows and 1 columns

[Assistant] It seems that the sperm whale entity does not have a value for the "indigenous to" property either. Given that we are looking for the time when the first sperm whales existed, we might need to look into the evolutionary history or fossil records of sperm whales. Let's search for properties related to "evolution" or "fossil" to see if there is a more suitable property.

[Tool]
Top 10 property alternatives:
1. develops from, also known as antecedent anatomical structure, developed from, evolved from, evolves from (wd:P3094 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): this class of items develops from another class of items (biology)
2. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): new work of art (film, book, software, etc.) derived from major part of this work
3. nature of statement, also known as validity of statement, status of statement, refine statement, precisely, modality of statement (wd:P5102 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): (qualifier only) the underlying circumstances of this statement
4. from narrative universe, also known as from narrative, in continuity, from universe, in cycle, in world of (wd:P1080 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): subject's fictional entity is in the object narrative. See also P1441 (present in work) and P1445 (fictional universe described in), part of
5. sequenced genome URL, also known as genome, genome URL (wd:P6800 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): sequenced and assembled genome for this taxon, URL
6. EEPS ID, also known as EEPS identifier, Encyclopedia of Evolutionary Psychological Science ID, Encyclopedia of Evolutionary Psychological Science identifier (wd:P7738 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): identifier of an entry in the Encyclopedia of Evolutionary Psychological Science
7. child, also known as has son, kids, mother of, kid, issue (wd:P40 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
8. development of anatomical structure, also known as development (wd:P4843 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): biological development of this anatomical structure
9. derived from organism type, also known as derived from organism of taxon, originated from individual of taxon, taxon of origin (wd:P9072 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): the taxon that the organism from which the subject cell line was...cause cell lines are derived only once from a single individual)
10. created for, also known as cause of creation, commissioned for, made for, occasion, on the occasion of (wd:P9883 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): a work, event, etc. for which the subject work was created (e.g.... play was created for; a film that a screenplay was written for)

[Assistant] None of these properties seem to directly indicate the time when the first sperm whales existed. However, the property "develops from" (wd:P3094) might be useful if it points to an ancestral form of sperm whales. Let's check if the sperm whale entity has a value for this property.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the sperm whale entity does not have a value for the "develops from" property either. Given that we are looking for the time when the first sperm whales existed, we might need to look into the fossil records or scientific literature on the evolution of sperm whales.

Let's try searching for properties related to "fossil" or "fossil record" to see if there is a more suitable property.

[Tool]
Top 10 property alternatives:
1. fossil found in this unit (wd:P1137 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): identifier for a reference (scholarly articles) in the Fossilworks database
3. Fossilworks taxon ID (wd:P842 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): the taxon that the organism from which the subject cell line was...cause cell lines are derived only once from a single individual)

[Assistant]
The property "age estimated by a dating method" (wd:P7584) seems relevant for finding the time when the first sperm whales existed. Let's check if the sperm whale entity or any related entities have a value for this property.

First, let's see if the sperm whale entity itself has a value for this property.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the sperm whale entity does not have a value for the "age estimated by a dating method" property. Let's try to find related entities or fossils that might provide this information.

We can search for fossils or fossil records related to sperm whales. Let's start by searching for entities related to "sperm whale fossil" or "sperm whale evolution".

[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]
None of the top results are specifically about sperm whale fossils. However, the entity "macroraptorial sperm whale" (wd:Q56274847) is described as a highly predatory whale from the Miocene epoch, which might be relevant to the evolutionary history of sperm whales.

Let's check if this entity has a value for the "age estimated by a dating method" property (wd:P7584).

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the "macroraptorial sperm whale" entity also does not have a value for the "age estimated by a dating method" property.

Given that we are looking for the time when the first sperm whales existed, we might need to look into the broader context of the evolution of sperm whales. Let's try to find the earliest known fossil of sperm whales or related species.

We can search for entities related to "earliest sperm whale fossil" or "oldest sperm whale fossil".

[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]
Unfortunately, the search for "earliest sperm whale fossil" did not yield any relevant results. Let's try a different approach by searching for the earliest known fossil of any sperm whale or related species.

We can search for entities related to "sperm whale fossil" and then filter for the oldest one. Let's list the properties of the sperm whale entity to see if there are any relevant properties that might lead us to the earliest fossil.

[Tool]
Got 780 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                       | object                                                                                |
| ----------------------- | ---------------------------------------------- | -------------------------------------------------------------------------------------------- |
| sperm whale (wd:Q81214) | instance of (wdt:P31)                          | taxon (wd:Q16521)                                                                            |
| sperm whale (wd:Q81214) | Commons category (wdt:P373)                    | Physeter macrocephalus                                                                       |
| sperm whale (wd:Q81214) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Mother%20and%20baby%20sperm%20whale.jpg> |
| sperm whale (wd:Q81214) | subclass of (wdt:P279)                         | whale (wd:Q1865281)                                                                          |
| sperm whale (wd:Q81214) | parent taxon (wdt:P171)                        | Physeter (wd:Q3382003)                                                                       |
| sperm whale (wd:Q81214) | taxon name (wdt:P225)                          | Physeter macrocephalus                                                                       |
| sperm whale (wd:Q81214) | taxon rank (wdt:P105)                          | species (wd:Q7432)                                                                           |
| sperm whale (wd:Q81214) | short name (wdt:P1813)                         | P. macrocephalus (mul)                                                                       |
| sperm whale (wd:Q81214) | described by source (wdt:P1343)                | Brockhaus and Efron Encyclopedic Dictionary (wd:Q602358)                                     |
| sperm whale (wd:Q81214) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                                                |
| ...                     | ...                                            | ...                                                                                |

[Assistant]
From the list of properties for the sperm whale entity, we don't see any direct references to fossils or the earliest known existence. However, we can try to find the earliest known fossil of any species in the sperm whale family or superfamily.

Let's search for the parent taxon of the sperm whale and then look for the earliest known fossil of any species within that taxon.

First, let's find the parent taxon of the sperm whale.

[Tool]
Got 1 row and 1 column:
| parentTaxon            |
| ---------------------- |
| Physeter (wd:Q3382003) |

[Assistant]
The parent taxon of the sperm whale is "Physeter" (wd:Q3382003). Now, let's search for the earliest known fossil of any species within the "Physeter" genus or related taxa.

We can start by listing the properties of the "Physeter" genus to see if there are any relevant properties or related entities that might lead us to the earliest fossil.

[Tool]
Got 241 rows and 3 columns, showing the first 10 rows below:
| subject                | property                               | object                                                                                |
| ---------------------- | -------------------------------------- | -------------------------------------------------------------------------------------------- |
| Physeter (wd:Q3382003) | instance of (wdt:P31)                  | taxon (wd:Q16521)                                                                            |
| Physeter (wd:Q3382003) | Commons category (wdt:P373)            | Physeter                                                                                |
| Physeter (wd:Q3382003) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Mother%20and%20baby%20sperm%20whale.jpg> |
| Physeter (wd:Q3382003) | parent taxon (wdt:P171)                | Physeteridae (wd:Q1574757)                                                                   |
| Physeter (wd:Q3382003) | taxon name (wdt:P225)                  | Physeter                                                                                |
| Physeter (wd:Q3382003) | taxon rank (wdt:P105)                  | genus (wd:Q34740)                                                                            |
| Physeter (wd:Q3382003) | start time (wdt:P580)                  | -5300000-01-01T00:00:00 (xsd:dateTime)                                                       |
| Physeter (wd:Q3382003) | taxon author citation (wdt:P6507)      | Linnaeus, 1758                                                                               |
| Physeter (wd:Q3382003) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/121qyn_w>                                                                  |
| Physeter (wd:Q3382003) | GBIF taxon ID (wdt:P846)               | 2440349                                                                                |
| ...                    | ...                                    | ...                                                                                |

[Assistant]
The "Physeter" genus has a start time property (wdt:P580) with a value of -5300000-01-01T00:00:00, which indicates that the genus started around 5.3 million years ago. This is a good indication of when the first sperm whales might have existed.

To confirm this and ensure we are getting the earliest known fossil, let's check if there are any specific fossils or species within the "Physeter" genus that have a more precise age estimate.

We can search for entities related to "Physeter" and check if any of them have a value for the "age estimated by a dating method" property (wd:P7584).

[Tool] Got no rows and 2 columns

[Assistant]
It seems that none of the species within the "Physeter" genus have a value for the "age estimated by a dating method" property. However, the start time of the "Physeter" genus (around 5.3 million years ago) provides a reasonable estimate for when the first sperm whales existed.

Since we have no more specific fossil data, we can use this start time as our answer. Let's formulate the final SPARQL query to retrieve this information and provide the answer.

Here is the final SPARQL query:

```sparql
SELECT ?start_time WHERE {
  wd:Q3382003 wdt:P580 ?start_time
}
```

This query will return the start time of the "Physeter" genus, which is a good estimate for when the first sperm whales existed.

Now, let's execute this query and provide the answer.

[Tool]
Got 1 row and 1 column:
| start_time                             |
| -------------------------------------- |
| -5300000-01-01T00:00:00 (xsd:dateTime) |

[Assistant]
The start time of the "Physeter" genus, which is a good estimate for when the first sperm whales existed, is approximately 5.3 million years ago.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?start_time WHERE {
  wd:Q3382003 wdt:P580 ?start_time
}
```

The first sperm whales existed around 5.3 million years ago.

Now, let's provide the final answer using the `answer` function.

[Tool] Stopped generation process