PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?property ?propertyLabel ?value ?valueLabel WHERE {
  VALUES ?property {
    wdt:P106 wdt:P800
  }
  wd:Q307 ?property ?value .
  OPTIONAL {
    ?property rdfs:label ?propertyLabel FILTER ( LANG( ?propertyLabel ) = "en" )
  }
  OPTIONAL {
    ?value rdfs:label ?valueLabel FILTER ( LANG( ?valueLabel ) = "en" )
  }
}
ORDER BY ?propertyLabel ?valueLabel

Using entities:
Galileo Galilei (wd:Q307)

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, etc.
notable work (wd:P800 as wdt), also known as artwork, author of, bibliography, books by, creator of, etc.

Got 11 rows and 4 columns, showing the first 5 and last 5 rows below:
| property                | propertyLabel | value                                      | valueLabel                        |
| ----------------------- | ------------- | ------------------------------------------ | --------------------------------- |
| occupation (wdt:P106)   |               | astrologer (wd:Q155647)                    | astrologer (en)                   |
| occupation (wdt:P106)   |               | astronomer (wd:Q11063)                     | astronomer (en)                   |
| occupation (wdt:P106)   |               | engineer (wd:Q81096)                       | engineer (en)                     |
| notable work (wdt:P800) |               | equations for a falling body (wd:Q1132975) | equations for a falling body (en) |
| notable work (wdt:P800) |               | Galilean transformation (wd:Q219207)       | Galilean transformation (en)      |
| ...                     | ...           | ...                                        | ...                               |
| occupation (wdt:P106)   |               | mathematician (wd:Q170790)                 | mathematician (en)                |
| occupation (wdt:P106)   |               | philosopher (wd:Q4964182)                  | philosopher (en)                  |
| occupation (wdt:P106)   |               | physicist (wd:Q169470)                     | physicist (en)                    |
| occupation (wdt:P106)   |               | scientist (wd:Q901)                        | scientist (en)                    |
| occupation (wdt:P106)   |               | university teacher (wd:Q1622272)           | university teacher (en)           |

Answer: I ran a query that returns Galileo Galilei's occupations (P106) and notable works (P800). Results (labels shown): Occupations: astronomer; astrologer; university teacher; physicist; mathematician; inventor; philosopher; engineer; scientist. Notable works: equations for a falling body; Galilean transformation.

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] what galileo galilei was famous for?

[Assistant] I will first locate the Wikidata item for Galileo Galilei, then look up properties on that item that express what he was "famous for" (such as "known for" / notable works / occupations). I'll search for the entity, then inspect relevant properties and finally build a SPARQL query that returns the statements (with their IRIs and labels). I will run queries progressively and explain results after each step.

[Tool]
Top 10 entity alternatives:
1. Galileo Galilei (wd:Q307): has occupation university teacher / has occupation mathematician / Italian polymath (1564–1642) / has occupation Philosopher / has occupation philosopher / has occupation astronomer / has occupation Astrologer / has occupation astrologer / has occupation scientist / has occupation physicist / has occupation engineer / has occupation inventor / is instance of human
2. Galileo (wd:Q3416348, matched via Galileo Galilei), also known as Galileo Galilei: 1968 film by Liliana Cavani / is instance of film
3. Galileo Galilei (wd:Q2483689): is instance of musical group / Japanese band
4. Galileo Galilei (wd:Q3757627), also known as HMS X2: is instance of attack submarine / is instance of Attack submarine / 1934 Archimede-class submarine
5. Galileo Galilei (wd:Q3094742): is instance of dramatico-musical work / opera by Philip Glass
6. Portrait of Galileo Galilei (wd:Q32904751, matched via Galileo Galilei), also known as Galileo, Galileo Galilei: painting by Justus Sustermans circa 1636 / painting by Justus Sustermans / is instance of painting
7. Galileo Galilei (wd:Q107050941): is instance of music venue / music venue in Madrid
8. Galileo Galilei (wd:Q19198238): German article in Die Gartenlaube, 1855, no. 23 / is instance of article
9. Galileo Galilei (wd:Q3757624): is instance of aviso
10. Galileo Galilei (wd:Q3757625): is instance of short film / 1909 silent short film

[Assistant] I'll search for properties related to "famous", "known for", "notable work", and "occupation" on the Galileo Galilei item to find the appropriate properties to use in the query.

[Tool]
Top 10 property alternatives:
1. notable work (wd:P800 as p/wdt, matched via famous for), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
2. ethnic group (wd:P172 as p, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
3. award received (wd:P166 as p/wdt, matched via awarded), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
4. different from (wd:P1889 as p/wdt, matched via distinguished from), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
5. child (wd:P40 as p/wdt, matched via sons), also known as children, daughter, daughters, descendants, father of, etc.: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039) / subject has the object in their family as their offspring son or daughter (independently of their age) / subject has object as biological, foster, and/or adoptive child / is subproperty of significant person / is subproperty of relative
6. mother (wd:P25 as p/wdt, matched via parent), also known as child of, daughter of, has mother, is child of, is daughter of, etc.: female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / is subproperty of parent
7. father (wd:P22 as p/wdt, matched via parent), also known as child of, dad, daddy, daughter of, has father, etc.: male parent of the subject. For stepfather, use "stepparent' (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / male parent of the subject. For stepfather, use "stepparent" (P3448) / is subproperty of parent
8. given name (wd:P735 as p/wdt, matched via name), also known as Christian name, first name, forename, middle name, name, etc.: first name or another given name of this person; values used with the property should not link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / is subproperty of name
9. Famous Birthdays ID (wd:P11194 as p/wdt, matched via famousbirthdays.com ID), also known as famousbirthdays.com ID, P11194: identifier for entities listed on the Famous Birthdays website
10. has part(s) (wd:P527 as p/wdt, matched via contain), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".

No other items found

[Assistant] I will list the P800 (notable work) statements for Galileo (wd:Q307) to see what values are recorded.

[Tool]
Got 2 rows and 3 columns:
| subject                   | property                | object                                     |
| ------------------------- | ----------------------- | ------------------------------------------ |
| Galileo Galilei (wd:Q307) | notable work (wdt:P800) | equations for a falling body (wd:Q1132975) |
| Galileo Galilei (wd:Q307) | notable work (wdt:P800) | Galilean transformation (wd:Q219207)       |

[Assistant] I'll check Galileo's occupations (property P106) to include major roles he was known for. I'll list those statements to verify the property values.

[Tool]
Got 9 rows and 3 columns:
| subject                   | property              | object                           |
| ------------------------- | --------------------- | -------------------------------- |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | astronomer (wd:Q11063)           |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | astrologer (wd:Q155647)          |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | university teacher (wd:Q1622272) |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | physicist (wd:Q169470)           |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | mathematician (wd:Q170790)       |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | inventor (wd:Q205375)            |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | philosopher (wd:Q4964182)        |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | engineer (wd:Q81096)             |
| Galileo Galilei (wd:Q307) | occupation (wdt:P106) | scientist (wd:Q901)              |

[Assistant] I'll also look at property "significant event" (P793) and "known for" if it exists. There's also "movement" and "notable idea" (P921?) Wait P921 is main subject maybe. Let's search for properties related to "known for", "notable idea", "main interests", "significant work", etc.

[Tool]
Top 10 property alternatives:
1. notable work (wd:P800 as p/wdt), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
2. different from (wd:P1889 as p/wdt, matched via not), also known as confused with, differs from, disambiguated from, distinct from, distinguished from, etc.: item that is different from another item, with which it is often confused / item that is different from another item, with which it may be confused
3. birth name (wd:P1477 as p/wdt, matched via ne), also known as birthname, bn, bname, born as, full birth name, etc.: full name of a person at birth, if different from their ... John Peter Doe for Joe Doe, Ann Smith for Ann Miller) / full name of a person at birth, if different from their current, generally used name / full name of a person at birth, if different from their current name / is subproperty of name
4. field of work (wd:P101 as p/wdt, matched via subject), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
5. child (wd:P40 as p/wdt, matched via issue), also known as children, daughter, daughters, descendants, father of, etc.: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039) / subject has the object in their family as their offspring son or daughter (independently of their age) / subject has object as biological, foster, and/or adoptive child / is subproperty of significant person / is subproperty of relative
6. described by source (wd:P1343 as p/wdt, matched via topic in), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
7. image (wd:P18 as p/wdt, matched via illustration), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
8. instance of (wd:P31 as p/wdt, matched via example of), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
9. NDL Authority ID (wd:P349 as p/wdt/wdtn, matched via ndl), also known as National Diet Library Auth ID, National Diet Library ID, National Diet Library of Japan authority control ID, National Diet Library of Japan ID, ndl, etc.: identifier for authority control per the National Diet Library of Japan
10. has part(s) (wd:P527 as p/wdt, matched via contain), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".

No other items found

[Assistant] Next I'll list triples that have Galileo (wd:Q307) as object to discover properties where other items point to him (e.g., as author, discoverer). This helps find works or discoveries he's "famous for". I'll run a constrained list query for object = wd:Q307.

[Tool]
Got 919 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                            | object                    |
| ----------------------------------------------------------------------------------------------- | ----------------------------------- | ------------------------- |
| Discorso intorno alle cose che stanno in su l'acqua, o che in quella si muovono (wd:Q107291447) | author (wdt:P50)                    | Galileo Galilei (wd:Q307) |
| Geniet Galilei (wd:Q101093362)                                                                  | main subject (wdt:P921)             | Galileo Galilei (wd:Q307) |
| middle finger of Galileo's right hand (wd:Q24150984)                                            | part of (wdt:P361)                  | Galileo Galilei (wd:Q307) |
| wd:Q7943480                                                                                | category combines topics (wdt:P971) | Galileo Galilei (wd:Q307) |
| Galilei family (wd:Q16558412)                                                                   | has part(s) (wdt:P527)              | Galileo Galilei (wd:Q307) |
| Evangelista Torricelli (wd:Q102490)                                                             | employer (wdt:P108)                 | Galileo Galilei (wd:Q307) |
| Vincenzo Galilei (wd:Q313765)                                                                   | child (wdt:P40)                     | Galileo Galilei (wd:Q307) |
| Reproduction of a Galilean telescope - CnAM 8606 (wd:Q112229335)                                | creator (wdt:P170)                  | Galileo Galilei (wd:Q307) |
| Maria Celeste (wd:Q3123699)                                                                     | father (wdt:P22)                    | Galileo Galilei (wd:Q307) |
| Galilée BOYER 1082 (wd:Q108795032)                                                              | depicts (wdt:P180)                  | Galileo Galilei (wd:Q307) |
| ...                                                                                | ...                                 | ...                       |

[Assistant] I'll run a SPARQL query that returns Galileo's occupations (wdt:P106) and notable works (wdt:P800), including the IRIs and English labels. I will explain the query before executing it. The query returns rows for each property-value pair (so you can see which values correspond to "occupation" and which to "notable work"). Now I'll execute that query.

[Tool]
Got 11 rows and 4 columns, showing the first 5 and last 5 rows below:
| p                       | pLabel | value                                      | valueLabel                        |
| ----------------------- | ------ | ------------------------------------------ | --------------------------------- |
| occupation (wdt:P106)   |        | astrologer (wd:Q155647)                    | astrologer (en)                   |
| occupation (wdt:P106)   |        | astronomer (wd:Q11063)                     | astronomer (en)                   |
| occupation (wdt:P106)   |        | engineer (wd:Q81096)                       | engineer (en)                     |
| notable work (wdt:P800) |        | equations for a falling body (wd:Q1132975) | equations for a falling body (en) |
| notable work (wdt:P800) |        | Galilean transformation (wd:Q219207)       | Galilean transformation (en)      |
| ...                     | ...    | ...                                        | ...                               |
| occupation (wdt:P106)   |        | mathematician (wd:Q170790)                 | mathematician (en)                |
| occupation (wdt:P106)   |        | philosopher (wd:Q4964182)                  | philosopher (en)                  |
| occupation (wdt:P106)   |        | physicist (wd:Q169470)                     | physicist (en)                    |
| occupation (wdt:P106)   |        | scientist (wd:Q901)                        | scientist (en)                    |
| occupation (wdt:P106)   |        | university teacher (wd:Q1622272)           | university teacher (en)           |

[Assistant] The query returned occupations and two notable works. The user asked "what Galileo Galilei was famous for?" — in natural language this could map to occupations and notable works (P106 and P800). I'll produce a final SPARQL query that returns these properties and their IRIs and labels. The query should include optional labels in English and ensure IRIs are returned. I'll run the final query (which is similar to the one above but perhaps also include P106 and P800 as explicit properties). Then I'll answer in plain text summarizing the results, and include the SPARQL query used. I'll execute the final query once more to comply with the rule to run the final query before answering.

[Tool]
Got 11 rows and 4 columns, showing the first 5 and last 5 rows below:
| property                | propertyLabel | value                                      | valueLabel                        |
| ----------------------- | ------------- | ------------------------------------------ | --------------------------------- |
| occupation (wdt:P106)   |               | astrologer (wd:Q155647)                    | astrologer (en)                   |
| occupation (wdt:P106)   |               | astronomer (wd:Q11063)                     | astronomer (en)                   |
| occupation (wdt:P106)   |               | engineer (wd:Q81096)                       | engineer (en)                     |
| notable work (wdt:P800) |               | equations for a falling body (wd:Q1132975) | equations for a falling body (en) |
| notable work (wdt:P800) |               | Galilean transformation (wd:Q219207)       | Galilean transformation (en)      |
| ...                     | ...           | ...                                        | ...                               |
| occupation (wdt:P106)   |               | mathematician (wd:Q170790)                 | mathematician (en)                |
| occupation (wdt:P106)   |               | philosopher (wd:Q4964182)                  | philosopher (en)                  |
| occupation (wdt:P106)   |               | physicist (wd:Q169470)                     | physicist (en)                    |
| occupation (wdt:P106)   |               | scientist (wd:Q901)                        | scientist (en)                    |
| occupation (wdt:P106)   |               | university teacher (wd:Q1622272)           | university teacher (en)           |

[Assistant] I'll now provide the final answer and include the SPARQL query I ran.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?place ?placeLabel ?tz ?tzLabel ?now_utc ?offset WHERE {
  BIND( wd:Q8646 AS ?place ) ?place wdt:P421 ?tz .
  ?tz wdt:P2907 ?offset .
  OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( LANG( ?placeLabel ) = "en" )
  }
  OPTIONAL {
    ?tz rdfs:label ?tzLabel FILTER ( LANG( ?tzLabel ) = "en" )
  }
  BIND( NOW () AS ?now_utc )
}

Using entities:
Hong Kong (wd:Q8646), also known as China Hong Kong, hk, HK, HKG, HKSAR, etc.

Using properties:
UTC timezone offset (wd:P2907 as wdt), also known as offset from UTC, UTC offset of timezone, P2907
located in time zone (wd:P421 as wdt), also known as time zone, timezone, TZ, P421

Answer: I queried Wikidata for Hong Kong (wd:Q8646) and its time zone (wd:Q6985 = UTC+08:00). The SPARQL query returned the endpoint current timestamp: 2025-09-10T16:19:03.438+02:00 and the time zone offset 8 (UTC+08:00). The server timestamp is in timezone +02:00, so Hong Kong is 6 hours ahead. Adding 6 hours gives 2025-09-10T22:19:03.438+08:00. So the current time in Hong Kong is approximately 22:19 (10:19 PM) on 2025-09-10 (UTC+08:00). Note: the exact seconds may differ slightly by the time you view this.

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] what time in china hong kong?

[Assistant] I'll search for the Wikidata item for Hong Kong, then inspect its time zone properties to find how to compute the current local time. I'll explain my reasoning before and after each query. I'll start by searching for the Hong Kong entity.

[Tool]
Top 10 entity alternatives:
1. Hong Kong (wd:Q8646), also known as China Hong Kong, hk, HK, HKG, HKSAR, etc.: is instance of special administrative region of China / city and special administrative region of China / city and special administrative region of China / is instance of special administrative region / is instance of customs territory of China / Special Administrative Region of China / is instance of dependent territory / is instance of country for sports / is instance of global city / is instance of Metropolis / is instance of metropolis / is instance of city-state / is instance of big city / is instance of city
2. British Hong Kong (wd:Q1054923, matched via Hong Kong), also known as British Administration, British HK, colonial Hong Kong, Hongkong, Hong Kong, etc.: British colony and dependent territory from 1841 to 1997 / is instance of former administrative territorial entity / is instance of British Dependent Territory / is instance of crown colony
3. Hong Kong (wd:Q2735819): 1994 live album by Jean Michel Jarre / is instance of album
4. Hong Kong (wd:Q3795969): 1952 film by Lewis R. Foster / is instance of film
5. Hong Kong (wd:Q3140041): is instance of television series / ABC adventure/drama series / is instance of serial
6. Hong Kong (wd:Q22704538): is instance of Wikimedia permanent duplicated page / is instance of Wikimedia permanent duplicate item / Wikimedia permanent duplicate item
7. Rosa 'Hong Kong' (wd:Q16626341, matched via Hong Kong), also known as Hong Kong, Hong-Kong, Rosa 'Hong-Kong': is instance of rose cultivar / rose cultivar
8. Hong Kong Flight Information Region (wd:Q106861520, matched via Hong Kong), also known as HKFIR, Hong Kong, Hong Kong FIR: is instance of flight information region / is instance of Area Control Center / is instance of area control center / Area Control Centre
9. Hong Kong (wd:Q18688799): is instance of variety store chain / Finnish variety store chain
10. Hong Kong (wd:Q11277867), also known as Hon Kon: has occupation owarai tarento / Japanese owarai tarento / has occupation actor / is instance of human

[Assistant] I'll look up which property on Wikidata gives the time zone for Hong Kong. I'll search properties for the Hong Kong entity for 'time zone'.

[Tool]
Top 10 property alternatives:
1. located in time zone (wd:P421 as p/wdt, matched via time zone), also known as time zone, timezone, TZ, P421: time zone for this item / time zone for this item / time zone for this item / time zone for this item
2. coordinate location (wd:P625 as p/wdt, matched via longitude), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
3. located in the administrative territorial entity (wd:P131 as p/wdt, matched via locality), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
4. GeoNames ID (wd:P1566 as p/wdt/wdtn, matched via GeoNames), also known as GeoNames, Geonames Id, P1566: identifier in the GeoNames geographical database / identifier in the GeoNames geographical database / identifier in the GeoNames geographical database
5. continent (wd:P30 as p/wdt), also known as P30: is subproperty of located in/on physical feature / is subproperty of located on terrain feature / continent of which the subject is a part / continent of which the subject is a part / continent of which the subject is a part
6. postal code (wd:P281 as p, matched via ZIP+4), also known as pincode, PIN Code, postal index number, post code, postcode, etc.: identifier assigned by postal authorities for the subject area or building / identifier assigned by postal authorities for the subject area / identifier assigned by postal authorities for the subject area
7. country (wd:P17 as p/wdt), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
8. capital (wd:P36 as p, matched via location of capital), also known as administrative capital, administrative center, administrative centre, administrative headquarters, administrative seat, etc.: location (city, municipality) of governmental seat of the country, or administrative territorial entity / seat of government of a country, province, state or other type of administrative territorial entity / city of governmental seat of the country, state or administrative subdivision
9. twinned administrative body (wd:P190 as p/wdt, matched via twin cities), also known as partner city, partner town, sister city, sister town, twin cities, etc.: twin towns, sister cities, twinned municipalities and other ... legally or informally acknowledged by their governments / twin towns, sister cities, twinned municipalities and other localities / twin towns, sister cities, twinned municipalities and other localities
10. highest point (wd:P610 as p/wdt, matched via zenith), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part

No other items found

[Assistant] The relevant property is P421 "located in time zone". I'll query the time zone(s) for Hong Kong (wd:Q8646). I'll include the time zone's IRI and label.

[Tool]
Got 1 row and 2 columns:
| tz                   | tzLabel        |
| -------------------- | -------------- |
| UTC+08:00 (wd:Q6985) | UTC+08:00 (en) |

[Assistant]
I'll run a SPARQL query that:
- binds Hong Kong (wd:Q8646) and its time zone (wd:Q6985),
- gets the current time via NOW(),
- adds 8 hours (UTC+08:00) as an xsd:dayTimeDuration to compute Hong Kong local time,
- returns the place, time zone, current UTC time, and computed Hong Kong time.

Now I'll execute that query.

[Tool]
Got 1 row and 6 columns:
| place                | placeLabel     | tz                   | tzLabel        | now_utc                                      | hk_time |
| -------------------- | -------------- | -------------------- | -------------- | -------------------------------------------- | ------- |
| Hong Kong (wd:Q8646) | Hong Kong (en) | UTC+08:00 (wd:Q6985) | UTC+08:00 (en) | 2025-09-10T16:17:48.214+02:00 (xsd:dateTime) |         |

[Assistant] I'll list triples for the time zone entity wd:Q6985 to find a property giving the offset value in hours, which I can use to compute local time in SPARQL.

[Tool]
Got 432 rows and 3 columns, showing the first 10 rows below:
| subject              | property                          | object                                                                           |
| -------------------- | --------------------------------- | -------------------------------------------------------------------------------- |
| UTC+08:00 (wd:Q6985) | instance of (wdt:P31)             | time zone named for a UTC offset (wd:Q17272482)                                  |
| UTC+08:00 (wd:Q6985) | Commons category (wdt:P373)       | UTC+08:00                                                                        |
| UTC+08:00 (wd:Q6985) | image (wdt:P18)                   | <http://commons.wikimedia.org/wiki/Special:FilePath/Timezones2011%20UTC%2B8.png> |
| UTC+08:00 (wd:Q6985) | Freebase ID (wdt:P646)            | /m/071r4p                                                                        |
| UTC+08:00 (wd:Q6985) | topic's main category (wdt:P910)  | wd:Q9718676                                                                      |
| UTC+08:00 (wd:Q6985) | said to be the same as (wdt:P460) | China Standard Time (wd:Q1143153)                                                |
| UTC+08:00 (wd:Q6985) | replaces (wdt:P1365)              | Changpai Time Zone (wd:Q20757849)                                                |
| UTC+08:00 (wd:Q6985) | UTC timezone offset (wdt:P2907)   | 8 (xsd:decimal)                                                                  |
| UTC+08:00 (wd:Q6985) | schema:description                | 8 timar framfor koordinert universaltid (nn)                                     |
| UTC+08:00 (wd:Q6985) | schema:name                       | UTC+08 (ko)                                                                      |
| ...                  | ...                               | ...                                                                              |

[Assistant]
I'll run a SPARQL query that:
- finds Hong Kong (wd:Q8646)'s time zone via P421,
- reads the UTC offset (P2907) from the time zone item,
- builds an xsd:dayTimeDuration like "PT8H" from the offset,
- adds that duration to NOW() to compute the current local time in Hong Kong,
- returns the time zone, offset, current UTC timestamp, the duration string, and the computed Hong Kong time.

Now I'll execute the query to verify it returns the computed local time.

[Tool]
SPARQL execution failed:
Not supported: Function "<http://www.w3.org/2001/XMLSchema#dayTimeDuration>" is currently not supported by QLever.

[Assistant] I'll run a final SPARQL query that retrieves Hong Kong (wd:Q8646), its time zone, the timezone's UTC offset (P2907), and the current timestamp from the endpoint (NOW()). I cannot reliably add durations inside this SPARQL endpoint due to limited support for xsd:dayTimeDuration construction, so I'll return these components from SPARQL and then compute the local time from them. Now I'll execute the query.

[Tool]
Got 1 row and 6 columns:
| place                | placeLabel     | tz                   | tzLabel        | now_utc                                      | offset          |
| -------------------- | -------------- | -------------------- | -------------- | -------------------------------------------- | --------------- |
| Hong Kong (wd:Q8646) | Hong Kong (en) | UTC+08:00 (wd:Q6985) | UTC+08:00 (en) | 2025-09-10T16:19:03.438+02:00 (xsd:dateTime) | 8 (xsd:decimal) |

[Assistant] I'll now finalize by returning the SPARQL query I used (it retrieves Hong Kong's time zone and the endpoint's current timestamp) and the computed Hong Kong local time based on those results. I will explain the computation after the query. Now calling the answer function with the final SPARQL query and the computed time.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?venue ?venueLabel ?venueLocation ?venueLocationLabel WHERE {
  wd:Q204623 wdt:P115 ?venue .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel .
    FILTER ( LANG( ?venueLabel ) = "en" )
  }
  OPTIONAL {
    ?venue wdt:P131 ?venueLocation .
    ?venueLocation rdfs:label ?venueLocationLabel .
    FILTER ( LANG( ?venueLocationLabel ) = "en" )
  }
}

Using entities:
Florida Panthers (wd:Q204623)

Using properties:
home venue (wd:P115 as wdt), also known as arena, ballpark, ground, home field, home ground, etc.
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.

Answer:
Thought process and steps:
1) I searched for the entity "Florida Panthers" and found wd:Q204623 (Florida Panthers, the NHL team).
2) I searched for properties indicating a team's home venue and found property P115 (home venue / home ground).
3) I constructed and executed a SPARQL query to get the P115 value (the venue) for wd:Q204623 and the venue's administrative location (P131) with English labels.

Query result (executed):
- venue: Amerant Bank Arena (wd:Q795526)
- venue location: Sunrise (wd:Q506375)

Final answer:
The Florida Panthers play at Amerant Bank Arena (wd:Q795526), located in Sunrise, Florida (wd:Q506375).

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] where do florida panthers play?

[Assistant] Step 1: I'll search for the Wikidata entity for "Florida Panthers" to be sure of the identifier. I'll call the entity search tool next.

[Tool]
Top 10 entity alternatives:
1. Florida Panthers (wd:Q204623): National Hockey League team in Sunrise, Florida / is instance of ice hockey team
2. FIU Panthers (wd:Q3110096, matched via Florida International Panthers), also known as FIU Golden Panthers, Florida International Golden Panthers, Florida International Panthers: intercollegiate sports teams of Florida International University / intercollegiate sports teams of Florida International University / is instance of university and college sports club
3. FIU Panthers men's basketball (wd:Q5425988, matched via Florida International Panthers), also known as FIU Golden Panthers men's basketball, FIU Panthers basketball, Florida International Golden Panthers men's basketball, Florida International Panthers, Florida International Panthers basketball, etc.: is instance of college sports team / is instance of basketball team / men's college basketball team
4. Florida Panthers IceDen (wd:Q124007705)
5. Florida Tech Panthers (wd:Q16155409): is instance of university and college sports club / collegiate sports club in the United States
6. 2010–11 Florida Panthers season (wd:Q3467872): is instance of ice hockey team season / national Hockey League team season
7. 2008–09 Florida Panthers season (wd:Q4612635): is instance of ice hockey team season / national Hockey League team season
8. 2009–10 Florida Panthers season (wd:Q4615762): is instance of ice hockey team season / national Hockey League team season
9. 2007–08 Florida Panthers season (wd:Q4610005): is instance of ice hockey team season / national Hockey League team season
10. 2020–21 Florida Panthers season (wd:Q104876843): is instance of ice hockey team season / national Hockey League team season

[Assistant] I'll search for properties related to "home" for the Florida Panthers entity (wd:Q204623) to find how the home arena/venue is modeled.

[Tool]
Top 10 property alternatives:
1. owned by (wd:P127 as p/wdt, matched via owner), also known as belonged to, belongs to, is owned by, owner, owners, etc.: owner of the subject / owner of the subject / owner of the subject
2. country (wd:P17 as p/wdt), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
3. official website (wd:P856 as p/wdt, matched via homepage), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
4. home venue (wd:P115 as p/wdt, matched via home ground), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
5. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
6. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")
7. inception (wd:P571 as p/wdt, matched via formation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
8. league or competition (wd:P118 as p/wdt, matched via division), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
9. image (wd:P18 as p/wdt, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
10. instance of (wd:P31 as p/wdt, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] I'll run a SPARQL query to get the home venue (property P115) of the Florida Panthers (wd:Q204623) and optional labels and the administrative location of that venue (P131). I'll execute the query now.

[Tool]
Got 1 row and 4 columns:
| venue                           | venueLabel              | venueLocation        | venueLocationLabel |
| ------------------------------- | ----------------------- | -------------------- | ------------------ |
| Amerant Bank Arena (wd:Q795526) | Amerant Bank Arena (en) | Sunrise (wd:Q506375) | Sunrise (en)       |

[Assistant] I'll now provide the final SPARQL query (which I executed above) and the answer based on its results. Below I summarize my steps and the query result.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ?countryLabel WHERE {
  wd:Q1215310 wdt:P17 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Using entities:
Battle of San Juan Hill (wd:Q1215310), also known as Battle for the San Juan Heights

Using properties:
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17

Got 1 row and 2 columns:
| country        | countryLabel |
| -------------- | ------------ |
| Cuba (wd:Q241) | Cuba (en)    |

Answer: The Battle of San Juan Hill took place in Cuba (wd:Q241).

what country did the battle of san juan hill take place?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] what country did the battle of san juan hill take place?

[Assistant] Step 1: I'll search Wikidata for the "Battle of San Juan Hill" entity to find its identifier and properties. I'll call the entity search function next.

[Tool]
Top 10 entity alternatives:
1. Battle of San Juan Hill (wd:Q1215310), also known as Battle for the San Juan Heights: 1898 decisive battle of the Spanish–American War / is instance of battle
2. The Battle of San Juan Hill (wd:Q3985806): is instance of short film / 1913 film by Francis Ford
3. San Juan Hill order of battle (wd:Q7414586): is instance of order of battle
4. Battle of San Juan and Chorrillos (wd:Q3772977, matched via Battle of San Juan), also known as Battle of Chorrillos, Battle of San Juan: 1881 battle of the War of the Pacific / is instance of battle
5. Battle of San Juan (wd:Q656046): is instance of battle / 1797 battle
6. Battle of San Juan (wd:Q4872279): is instance of naval battle / 1625 battle in Puerto Rico
7. Battle of San Juan (wd:Q4872281): Spanish victory during the Anglo–Spanish War / is instance of conflict / is instance of Conflict
8. Battle of San Juan (wd:Q4872278): 1598 English force of 20 ships took San Juan from Spain for 65 days / is instance of battle
9. Battle of San Juan Bautista (wd:Q4872282): is instance of battle / 1864 battle
10. Second Battle of San Juan (wd:Q7443113): naval battle during the Spanish-American War (1898) / is instance of naval battle

[Assistant] I'll search properties of the Battle of San Juan Hill entity for terms like "country" or "location" to find how the place is represented. I'll call the property search function next.

[Tool]
Top 10 property alternatives:
1. country (wd:P17 as p/wdt), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
2. location (wd:P276 as p/wdt, matched via region), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
3. located in the administrative territorial entity (wd:P131 as p/wdt, matched via region), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
4. coordinate location (wd:P625 as p/wdt, matched via location), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
5. point in time (wd:P585 as p/wdt, matched via on), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true
6. participant (wd:P710 as p/wdt, matched via party), also known as accused, agent, attendee, belligerents, between, etc.: person, group of people or organization (object) that ... has role" (P3831). Use P1923 for participants that are teams. / person, group of people or organization that actively takes/took part in the event / is subproperty of significant person
7. image (wd:P18 as p/wdt, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
8. instance of (wd:P31 as p/wdt, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
9. Freebase ID (wd:P646 as p/wdt, matched via MID), also known as FID, Freebase, Freebase identifier, MID, P646: identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... with "/g/", use Google Knowledge Graph identifier (P2671) / identifier for a page in the Freebase database. Format: ... starting with "/g/", use Google Knowledge Graph ID (P2671)
10. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")

No other items found

[Assistant] I'll list triples for the Battle of San Juan Hill (wd:Q1215310) to inspect how its location is represented (properties like country P17, location P276, or located in administrative territorial entity P131). I'll call the list function next.

[Tool]
Got 90 rows and 3 columns, showing the first 10 rows below:
| subject                               | property                                                    | object                                                                                |
| ------------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| Battle of San Juan Hill (wd:Q1215310) | instance of (wdt:P31)                                       | battle (wd:Q178561)                                                                                |
| Battle of San Juan Hill (wd:Q1215310) | country (wdt:P17)                                           | Cuba (wd:Q241)                                                                                |
| Battle of San Juan Hill (wd:Q1215310) | located in the administrative territorial entity (wdt:P131) | Santiago de Cuba Province (wd:Q234200)                                                                 |
| Battle of San Juan Hill (wd:Q1215310) | coordinate location (wdt:P625)                              | POINT(-75.796115 20.020911) (geo:wktLiteral)                                                           |
| Battle of San Juan Hill (wd:Q1215310) | Commons category (wdt:P373)                                 | Battle of San Juan Hill                                                                                |
| Battle of San Juan Hill (wd:Q1215310) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/San%20Juan%20Hill%20by%20Kurz%20and%20Allison.JPG> |
| Battle of San Juan Hill (wd:Q1215310) | Freebase ID (wdt:P646)                                      | /m/01tf88                                                                                |
| Battle of San Juan Hill (wd:Q1215310) | location (wdt:P276)                                         | San Juan Hill (wd:Q7414587)                                                                            |
| Battle of San Juan Hill (wd:Q1215310) | Library of Congress authority ID (wdtn:P244)                | <http://id.loc.gov/authorities/names/sh85117120>                                                       |
| Battle of San Juan Hill (wd:Q1215310) | point in time (wdt:P585)                                    | 1898-07-01T00:00:00Z (xsd:dateTime)                                                                    |
| ...                                   | ...                                                         | ...                                                                                |

[Assistant] Now I'll run a SPARQL query that retrieves the country (P17) for the Battle of San Juan Hill (wd:Q1215310). The query will return the country IRI and its English rdfs:label (optional). I'll execute that query next.

[Tool]
Got 1 row and 2 columns:
| country        | countryLabel |
| -------------- | ------------ |
| Cuba (wd:Q241) | Cuba (en)    |

[Assistant] I'll now prepare the final answer containing the SPARQL query and the result. According to the rules, I must explain my thought process before and after each step and function call — I've done that. Now I'll call the answer function to finalize.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?person ?personLabel ?linkType WHERE {
  VALUES ?team {
    wd:Q330120
  }
  {
    ?team p:P286 ?psStatement .
    ?psStatement ps:P286 ?person .
    BIND( "team property P286 (head coach)" AS ?linkType )
  } UNION {
    ?person wdt:P6087 ?team .
    BIND( "person property P6087 (coach of sports team)" AS ?linkType )
  } UNION {
    ?person wdt:P286 ?team .
    BIND( "person property P286 (head coach)" AS ?linkType )
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY ?personLabel

Using entities:
Carolina Panthers (wd:Q330120)

Using properties:
head coach (wd:P286 as p/ps/wdt), also known as club manager, coach, coached by, led by, manager, etc.
coach of sports team (wd:P6087 as wdt), also known as club manager of, club manager of sports team, coaches, coach of, coach of sports club, etc.

Got 9 rows and 3 columns:
| person                      | personLabel       | linkType                                     |
| --------------------------- | ----------------- | -------------------------------------------- |
| Chris Tabor (wd:Q57242442)  | Chris Tabor (en)  | team property P286 (head coach)              |
| Dave Canales (wd:Q47456134) | Dave Canales (en) | team property P286 (head coach)              |
| Frank Reich (wd:Q5489177)   | Frank Reich (en)  | team property P286 (head coach)              |
| John Fox (wd:Q719030)       | John Fox (en)     | team property P286 (head coach)              |
| Matt Rhule (wd:Q14950994)   | Matt Rhule (en)   | team property P286 (head coach)              |
| Perry Fewell (wd:Q7169776)  | Perry Fewell (en) | team property P286 (head coach)              |
| Ron Rivera (wd:Q1991889)    | Ron Rivera (en)   | person property P6087 (coach of sports team) |
| Ron Rivera (wd:Q1991889)    | Ron Rivera (en)   | team property P286 (head coach)              |
| Steven Wilks (wd:Q7615391)  | Steven Wilks (en) | team property P286 (head coach)              |

Answer: I will run the query and report back the coaches found (IRIs and labels).

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] who has coached the carolina panthers?

[Assistant] I will first search for the Wikidata item for "Carolina Panthers" to identify its Q-id, then look for properties that indicate coaches or managers (e.g., head coach, coach). I'll run queries to find people who have been coaches of that team. I'll explain each step and run intermediate searches to verify properties and results.

[Tool]
Top 10 entity alternatives:
1. Carolina Panthers (wd:Q330120): is instance of American football team / American football team / American football team
2. history of the Carolina Panthers (wd:Q5869201, matched via Carolina Panthers history), also known as Carolina Panthers history, the Carolina Panthers history: is instance of aspect of history / aspect of history
3. Carolina Panthers Cheerleaders (wd:Q130385213): cheerleading squad of the Carolina Panthers
4. 2021 Carolina Panthers season (wd:Q104869609): is instance of sports season of a sports club / 27th season in franchise history
5. 2022 Carolina Panthers season (wd:Q110445399): is instance of American football team season / 28th season in franchise history
6. 2023 Carolina Panthers season (wd:Q116170055): is instance of American football team season / 29th season in franchise history
7. 2015 Carolina Panthers season (wd:Q18701993): is instance of American football team season / NFL team 21st season(lost Super Bowl)
8. 2018 Carolina Panthers season (wd:Q48843395): is instance of American football team season / 24th season in franchise history
9. 2019 Carolina Panthers season (wd:Q60525825): is instance of sports season of a sports club / 25th season in franchise history
10. 2020 Carolina Panthers season (wd:Q80995958): is instance of sports season of a sports club / 26th season in franchise history

[Assistant] I'll search for properties of the Carolina Panthers item related to coaches (keywords like "coach", "head coach", "manager").

[Tool]
Top 10 property alternatives:
1. head coach (wd:P286 as p/wdt, matched via coach), also known as club manager, coach, coached by, led by, manager, etc.: on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person / on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person
2. sport (wd:P641 as p/wdt), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
3. league or competition (wd:P118 as p/wdt, matched via competition), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
4. category for members of a team (wd:P6112 as p/wdt, matched via category for players), also known as category for players, category for team members, P6112: Wikimedia category for players playing for a sports team / is subproperty of topic's main category
5. Flashscore.com team ID (wd:P7876 as p/wdt, matched via www.flashscore.com/team/), also known as flashscore.com/team/, FlashScore.com team ID, https://www.flashscore.com/team/, www.flashscore.com/team/, P7876: identifier for a sports team in the FlashScore.com database
6. home venue (wd:P115 as p/wdt, matched via stadium), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
7. SportsLogos.net team ID (wd:P9122 as p/wdt, matched via SportsLogos.net ID), also known as SportsLogos.net ID, P9122: identifier for a sports organization on the website Sports Logos
8. member of (wd:P463 as p/wdt), also known as band member of, in musical group, member of musical group, membership, of organization, etc.: organisation, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / organization, club or musical group to which the subject ... position, such as a member of parliament (use P39 for that) / is subproperty of part of
9. social media followers (wd:P8687 as p/wdt, matched via followers), also known as follow count, follower count, follower number, followers, follow number, etc.: number of subscribers on a particular social media website ... time" and property for account. For Twitter, use numeric id.
10. mascot (wd:P822 as p/wdt), also known as P822: mascot of an organization, e.g. a sports team or university / mascot of an organization, e.g. a sports team or university

No other items found

[Assistant] I'll check which head coach (P286) statements exist on the Carolina Panthers item by listing triples where the subject is the Carolina Panthers and the property is P286. I'll run a list query to see the coaches directly asserted.

[Tool]
Got 1 row and 3 columns:
| subject                        | property              | object                      |
| ------------------------------ | --------------------- | --------------------------- |
| Carolina Panthers (wd:Q330120) | head coach (wdt:P286) | Dave Canales (wd:Q47456134) |

[Assistant] I will search for triples where the Carolina Panthers appears as the object, to find people linked to it by coaching-related properties (e.g., people with head coach P286 pointing to the team). This will help find past head coaches recorded on person items. I'll list triples with object set to the Carolina Panthers.

[Tool]
Got 1,600 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                            | object                         |
| ---------------------------------------------- | ----------------------------------- | ------------------------------ |
| wd:Q8344849                                    | category combines topics (wdt:P971) | Carolina Panthers (wd:Q330120) |
| NFC South (wd:Q934745)                         | has part(s) (wdt:P527)              | Carolina Panthers (wd:Q330120) |
| Chris Polian (wd:Q5107782)                     | employer (wdt:P108)                 | Carolina Panthers (wd:Q330120) |
| Carson Palmer (wd:Q1045461)                    | member of sports team (wdt:P54)     | Carolina Panthers (wd:Q330120) |
| Bank of America Stadium (wd:Q806673)           | owned by (wdt:P127)                 | Carolina Panthers (wd:Q330120) |
| Bank of America Stadium (wd:Q806673)           | operator (wdt:P137)                 | Carolina Panthers (wd:Q330120) |
| wd:Q9091794                                    | category's main topic (wdt:P301)    | Carolina Panthers (wd:Q330120) |
| Best Game ESPY Award (wd:Q4896676)             | winner (wdt:P1346)                  | Carolina Panthers (wd:Q330120) |
| Super Bowl XXXVIII (wd:Q1049630)               | participating team (wdt:P1923)      | Carolina Panthers (wd:Q330120) |
| history of the Carolina Panthers (wd:Q5869201) | facet of (wdt:P1269)                | Carolina Panthers (wd:Q330120) |
| ...                                            | ...                                 | ...                            |

[Tool]
Top 10 property alternatives:
1. coach of sports team (wd:P6087 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as club manager of, club manager of sports team, coaches, coach of, coach of sports club, etc.: sports club or team for which this person is or was on-field manager or coach
2. head coach (wd:P286 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via team manager), also known as club manager, coach, coached by, led by, manager, etc.: on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person / on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person
3. team captain (wd:P634 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via sports team captain), also known as captain, sports team captain, P634: captain of this sports team / captain of this sports team
4. member of sports team (wd:P54 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via member of team), also known as club played for, member of team, of team, part of team, played for, etc.: sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented / is subproperty of member of
5. partner in business or sport (wd:P1327 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via partner in sports), also known as business partner, collaborator, colleague, partnered with, partner in business, etc.: person a professional or athlete works with / is subproperty of significant person / professional collaborator
6. represents (wd:P1268 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via team of), also known as representing, represents organisation, stands for, symbolises, symbolizes, etc.: organization, individual, or concept that an entity represents / organization or individual that an entity represents
7. National-Football-Teams.com coach ID (wd:P10995 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn), also known as NFT coach ID, P10995: identifier for a coach at the national-football-teams.com
8. Soccerdonna coach ID (wd:P8134 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Soccerdonna coach identifier), also known as Soccerdonna coach identifier, Soccerdonna trainer ID, Soccerdonna trainer identifier, P8134: identifier for a coach at the Soccerdonna
9. Pro Football Reference coach ID (wd:P6836 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via Pro Football Reference coach identifier), also known as PFR coach ID, Pro Football Reference coach identifier, Pro-Football-Reference.com coach ID, Pro-Football-Reference.com coach identifier, P6836: identifier for American football coaches at Pro Football Reference
10. Transfermarkt manager ID (wd:P2447 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via transfermarkt coach id), also known as https://www.transfermarkt.com/, transfermarkt coach id, transfermarkt.com/, transfermarkt id (coach), transfermarkt id (manager), etc.: identifier for an association football (soccer) manager or coach in the transfermarkt.com database / identifier for an association football (soccer) manager or coach in the transfermarkt.com database

[Assistant] I'll list entities that use the property "coach of sports team" (P6087) with object Carolina Panthers to find coaches.

[Tool]
Got 1 row and 3 columns:
| subject                  | property                         | object                         |
| ------------------------ | -------------------------------- | ------------------------------ |
| Ron Rivera (wd:Q1991889) | coach of sports team (wdt:P6087) | Carolina Panthers (wd:Q330120) |

[Assistant] So far I have head coach (P286) pointing to current coach Dave Canales, coach of sports team (P6087) with Ron Rivera, and likely other coaches are recorded as head coach property on the team or as coach of sports team on person items. I will search for other people whose "head coach" or "coach of sports team" properties point to the Carolina Panthers by searching for ?person wdt:P6087 wd:Q330120 and ?person wdt:P286 wd:Q330120. I'll run a SPARQL query to get distinct persons who have coached the Carolina Panthers via either property. I'll build a query that retrieves subjects where either wdt:P286 or wdt:P6087 equals the team. I'll include labels.

[Tool]
Got 1 row and 3 columns:
| person                   | personLabel     | prop                         |
| ------------------------ | --------------- | ---------------------------- |
| Ron Rivera (wd:Q1991889) | Ron Rivera (en) | coach of sports team (P6087) |

[Tool] Got no rows and 3 columns

[Assistant]
I'll run a SPARQL query that combines three approaches to find people who have coached the Carolina Panthers:

- head coach statements recorded on the team item (p:P286 / ps:P286) to capture historical head coaches listed on the team,
- people with the direct property wdt:P6087 (coach of sports team) pointing to the Panthers,
- people who (unusually) have wdt:P286 pointing to the Panthers.

I'll request English labels optionally. Now I'll execute that final query.

[Tool] Stopping