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 ?item ?itemLabel ?type WHERE {
  VALUES ?typeProp {
    wdt:P800 wdt:P101
  }
  VALUES ?type {
    "notable work" "field of work"
  }
  BIND( wd:Q307 AS ?person ) {
    ?person wdt:P800 ?item .
    BIND( "notable work" AS ?type )
  } UNION {
    ?person wdt:P101 ?item .
    BIND( "field of work" AS ?type )
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( lang( ?itemLabel ) = "en" )
  }
}
ORDER BY ?type ?itemLabel

Got 14 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?item                                      | ?itemLabel                   | ?type         |
| ------------------------------------------ | ---------------------------- | ------------- |
| astronomy (wd:Q333)                        | astronomy                    | field of work |
| astronomy (wd:Q333)                        | astronomy                    | field of work |
| mathematics (wd:Q395)                      | mathematics                  | field of work |
| mathematics (wd:Q395)                      | mathematics                  | field of work |
| mechanics (wd:Q41217)                      | mechanics                    | field of work |
| ...                                        | ...                          | ...           |
| physics (wd:Q413)                          | physics                      | field of work |
| equations for a falling body (wd:Q1132975) | equations for a falling body | notable work  |
| equations for a falling body (wd:Q1132975) | equations for a falling body | notable work  |
| Galilean transformation (wd:Q219207)       | Galilean transformation      | notable work  |
| Galilean transformation (wd:Q219207)       | Galilean transformation      | notable work  |

Galileo Galilei was famous for his notable works (such as the Galilean transformation and equations for a falling body) and for his fields of work (astronomy, mathematics, mechanics, physics, and philosophy).

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

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

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

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

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

[User] what galileo galilei was famous for?

[Assistant]
Let's break down the question:

1. The main entity is "Galileo Galilei".
2. The property we are interested in is what he was "famous for", which could correspond to properties like "notable work", "field of work", "known for", or similar in Wikidata.

First, I will search for the entity "Galileo Galilei" in Wikidata to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Galileo Galilei (wd:Q307): Italian polymath (1564–1642), university teacher, mathematician, philosopher, astronomer, astrologer, scientist, physicist, engineer, inventor
2. Galileo, also known as Galileo Galilei (wd:Q3416348): 1968 film by Liliana Cavani
3. Galileo Galilei (wd:Q2483689): Japanese band
4. Galileo Galilei, also known as HMS X2 (wd:Q3757627): 1934 Archimede-class submarine
5. Galileo Galilei (wd:Q3094742): opera by Philip Glass
6. Portrait of Galileo Galilei, also known as Galileo, Galileo Galilei (wd:Q32904751): painting by Justus Sustermans circa 1636
7. Galileo Galilei (wd:Q48810529): classical lyceum in Pisa in the province of Pisa (Italy) [school id: PIPC00701T]
8. Galileo Galilei (wd:Q3757625): 1909 silent short film
9. Galileo Galilei (wd:Q3757624)
10. Galileo Galilei (wd:Q19198238): German article in Die Gartenlaube, 1855, no. 23

[Assistant]
The correct entity for Galileo Galilei is wd:Q307.

Next, I need to identify the property in Wikidata that corresponds to "famous for". Likely candidates are "known for", "notable work", or similar. I will search for properties related to "famous for" or "known for".

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): notable scientific, artistic or literary work, or other work of significance among subject's works
2. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): significant or notable events associated with the subject
3. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person linked to the item in any possible way
4. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
5. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): name the subject is known by; preferably use a more specific subproperty if available
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. media legend, also known as video legend, video description, video caption, caption, media description (wd:P2096 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): qualifier to describe the media of the statement. This avoids le...the media is defined at Wikidata. For the date, use P585 instead
8. floruit, also known as work period, living, known alive in, flourished, fl. (wd:P1317 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): date when the person was known to be active or alive, when birth or death not documented
9. date popularized, also known as popularization date, popularized in, popularized on (wd:P12643 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): point in time the subject became well known to the public, if different from its inception
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): alias used by someone (for nickname use P1449), name

[Assistant]
The most relevant property for "famous for" is "notable work" (wd:P800). Another possible property is "significant event" (wd:P793), but "notable work" is more directly related to what someone is famous for.

I will now check which values are given for Galileo Galilei (wd:Q307) with the property "notable work" (wd:P800).

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

[Tool]
Got 2 rows and 1 column:
| ?work                                      |
| ------------------------------------------ |
| equations for a falling body (wd:Q1132975) |
| Galilean transformation (wd:Q219207)       |

[Tool]
Got 2 rows and 2 columns:
| ?work                                      | ?workLabel                   |
| ------------------------------------------ | ---------------------------- |
| equations for a falling body (wd:Q1132975) | equations for a falling body |
| Galilean transformation (wd:Q219207)       | Galilean transformation      |

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
4. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
5. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as p/wdt): object depicting this subject (object being creative works such as books, films, paintings)
6. Notable Names Database, also known as NNDB ID, Notable Names Database people ID, Notable Names Database ID (wd:P1263 as p/wdt): identifier in the Notable Names Database, a biographical database: only for people entries
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country

No other items found

[Tool]
Top 10 property alternatives:
1. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
2. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
5. UK National Archives ID, also known as UKNA ID, NRA ID, TNA ID, TNA, Public Record Office (wd:P3029 as p/wdt): identifier for a person, family or organisation, in the UK's National Archives database
6. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/wdt): person or organization for which the subject works or worked, affiliation
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as p/wdt): any state relevant to the health of an organism, including diseases and positive conditions

No other items found

[Tool]
Got 5 rows and 3 columns:
| subject                   | property                 | object                |
| ------------------------- | ------------------------ | --------------------- |
| Galileo Galilei (wd:Q307) | field of work (wdt:P101) | mathematics (wd:Q395) |
| Galileo Galilei (wd:Q307) | field of work (wdt:P101) | astronomy (wd:Q333)   |
| Galileo Galilei (wd:Q307) | field of work (wdt:P101) | philosophy (wd:Q5891) |
| Galileo Galilei (wd:Q307) | field of work (wdt:P101) | physics (wd:Q413)     |
| Galileo Galilei (wd:Q307) | field of work (wdt:P101) | mechanics (wd:Q41217) |

[Tool]
Got 5 rows and 2 columns:
| ?field                | ?fieldLabel |
| --------------------- | ----------- |
| astronomy (wd:Q333)   | astronomy   |
| mathematics (wd:Q395) | mathematics |
| mechanics (wd:Q41217) | mechanics   |
| physics (wd:Q413)     | physics     |
| philosophy (wd:Q5891) | philosophy  |

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
4. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
5. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
6. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
7. subject has role, also known as has role, role, subject had role, subject of qualified statement has role, subject of statement has role (wd:P2868 as p/wdt): role/generic identity of the item ("subject") in the context of ...acting roles, use P453 ("character role"). For persons, use P39.
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
9. described at URL, also known as mentioned at URL, descURL, described on webpage, discussed at URL, d@url (wd:P973 as p/wdt): item is described at the following URL, URL
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location

No other items found

[Tool] Got no rows and 3 columns

[Assistant]
Based on the data, the main things Galileo Galilei is famous for (according to Wikidata) are:

- Notable works: Galilean transformation, equations for a falling body
- Fields of work: astronomy, mathematics, mechanics, physics, philosophy

I will now provide a SPARQL query that returns both his notable works and his fields of work, along with their labels.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?timezone WHERE {
  wd:Q8646 wdt:P421 ?timezone .
}

The time zone for Hong Kong, China is UTC+08:00 (wd:Q6985). Wikidata does not provide the current time directly, but knowing the time zone allows you to determine the current time in Hong Kong by adding 8 hours to Coordinated Universal Time (UTC).

Here is the SPARQL query that retrieves the time zone for Hong Kong:

```sparql
SELECT ?timezone WHERE {
  wd:Q8646 wdt:P421 ?timezone .
}
```

The answer is: The time zone in Hong Kong, China is UTC+08:00.

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

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

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

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

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

[User] what time in china hong kong?

[Assistant]
Let's break down the question:

1. The user wants to know the current time in Hong Kong, China.
2. In Wikidata, "Hong Kong" is an entity, and "time" could refer to the current local time or time zone.

First, I will search for the entity "Hong Kong" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Hong Kong, also known as Hong Kong SAR, Hong Kong Special Administrative...f the People's Republic of China, Hong Kong Special Administrative Region, Hong Kong SAR, China, Hong Kong, China (wd:Q8646): city and special administrative region of China
2. British Hong Kong, also known as British Administration, British HK, colonial Hong Kong, Hongkong, Hong Kong (wd:Q1054923): British colony and dependent territory from 1841 to 1997
3. Hong Kong (wd:Q2735819): 1994 live album by Jean Michel Jarre
4. Hong Kong (wd:Q3795969): 1952 film by Lewis R. Foster
5. Hong Kong (wd:Q3140041): ABC adventure/drama series
6. Hong Kong (wd:Q22704538): Wikimedia permanent duplicate item
7. Rosa 'Hong Kong', also known as Rosa 'Hong-Kong', Hong-Kong, Hong Kong (wd:Q16626341): rose cultivar
8. Hong Kong (wd:Q18688799): Finnish variety store chain
9. Hong Kong Flight Information Region, also known as HKFIR, Hong Kong, Hong Kong FIR (wd:Q106861520): Area Control Centre
10. Hong Kong, also known as Hon Kon (wd:Q11277867): Japanese owarai tarento, owarai tarento, actor

[Assistant]
The correct entity for Hong Kong as a city and special administrative region of China is wd:Q8646.

Next, I need to determine how to get the current time or time zone for Hong Kong in Wikidata. I will search for properties related to "time" or "time zone" to see what is available.

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
7. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
8. life expectancy, also known as life span, lifespan (wd:P2250 as p/wdt): average life expectancy for this group or species, duration
9. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
10. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

No other items found

[Assistant]
The most relevant property is "located in time zone" (wdt:P421), which will give us the time zone for Hong Kong. Wikidata does not store the current time directly, but it does store the time zone, from which the current time can be inferred.

I will now write a SPARQL query to get the time zone(s) for Hong Kong (wd:Q8646).

[Tool]
Got 1 row and 2 columns:
| ?timezone            | ?timezoneLabel |
| -------------------- | -------------- |
| UTC+08:00 (wd:Q6985) | UTC+08:00      |

[Assistant]
The time zone for Hong Kong, China is UTC+08:00 (wd:Q6985). Wikidata does not provide the current time directly, but knowing the time zone allows you to determine the current time in Hong Kong by adding 8 hours to Coordinated Universal Time (UTC).

Here is the SPARQL query that retrieves the time zone for Hong Kong:

```sparql
SELECT ?timezone WHERE {
  wd:Q8646 wdt:P421 ?timezone .
}
```

The answer is: The time zone in Hong Kong, China is UTC+08:00.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?venue WHERE {
  wd:Q204623 wdt:P115 ?venue
}

The Florida Panthers play at Amerant Bank Arena (wd:Q795526).

[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] where do florida panthers play?

[Assistant]
Let's break down the question:

1. The "Florida Panthers" is a sports team, specifically an NHL (ice hockey) team.
2. The question asks for the location or venue where they play their home games.

First, I need to find the Wikidata entity for "Florida Panthers". Then, I need to find the property that links a sports team to its home venue or stadium.

I'll start by searching for the entity "Florida Panthers".

[Tool]
Top 10 entity alternatives:
1. Florida Panthers (wd:Q204623): National Hockey League team in Sunrise, Florida
2. FIU Panthers, also known as FIU Golden Panthers, Florida International Golden Panthers, Florida International Panthers (wd:Q3110096): intercollegiate sports teams of Florida International University
3. FIU Panthers men's basketball, 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 (wd:Q5425988): men's college basketball team
4. Florida Panthers IceDen (wd:Q124007705)
5. Florida Tech Panthers (wd:Q16155409): collegiate sports club in the United States
6. 2010–11 Florida Panthers season (wd:Q3467872): national Hockey League team season
7. 2007–08 Florida Panthers season (wd:Q4610005): national Hockey League team season
8. 2009–10 Florida Panthers season (wd:Q4615762): national Hockey League team season
9. 2008–09 Florida Panthers season (wd:Q4612635): national Hockey League team season
10. 2013–14 Florida Panthers season (wd:Q16245182): national Hockey League team season

[Assistant]
The correct entity for the Florida Panthers NHL team is wd:Q204623.

Next, I need to find the property that links a sports team to its home venue or stadium. I'll search for properties related to "home stadium" or "venue".

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): home stadium or venue of a sports team or applicable performing arts organization, location
2. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person or organization occupying property, used by
3. PlaymakerStats.com stadium ID, also known as www.playmakerstats.com/estadio.php?id=, https://www.playmakerstats.com/estadio.php?id=, playmakerstats.com/estadio.php?id= (wd:P10917 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a association football (soccer) stadium in the PlayakerStats.com database
4. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the place where the person is or has been, resident, location
5. supported sports team, also known as Fan of sports team, team supported, Supports sports team, Sports team supported, is a fan of team (wd:P6758 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): sports team for which a person or a group is a supporter
6. StadiumDB ID, also known as StadiumDB.com ID, StadiumDB.com identifier, StadiumDB identifier (wd:P5288 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a stadium on StadiumDB.com
7. Soccerway venue ID, also known as Soccerway stadium ID (wd:P8775 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for an association football (soccer) venue in the Soccerway database
8. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): studio or location where a musical composition/release was recorded, recording location
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
10. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): larger work that a given work was published in, like a book, journal or music album, part of

[Assistant]
The most relevant property is "home venue" (wd:P115), which links a sports team to its home stadium or arena.

Now, I'll write a SPARQL query to find the home venue of the Florida Panthers (wd:Q204623) using the property "home venue" (wdt:P115). I'll also try to get the label of the venue for clarity.

[Tool]
Got 1 row and 2 columns:
| ?venue                          | ?venueLabel        |
| ------------------------------- | ------------------ |
| Amerant Bank Arena (wd:Q795526) | Amerant Bank Arena |

[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 ?country WHERE {
  wd:Q1215310 wdt:P17 ?country .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
}

The Battle of San Juan Hill took place in Cuba.

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

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

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

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

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

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

[Assistant]
Let's break down the question:

1. The "Battle of San Juan Hill" is a historical event, so I need to find its entity in Wikidata.
2. I need to determine the property that links an event to the country where it took place. This is likely something like "country" or "location".
3. I will then construct a query to find the country where the Battle of San Juan Hill took place.

First, I will search for the entity "Battle of San Juan Hill" in Wikidata.

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

[Assistant]
The most relevant entity for the "Battle of San Juan Hill" is wd:Q1215310, which is described as the 1898 decisive battle of the Spanish–American War.

Next, I need to find the property that links an event (like a battle) to the country where it took place. This is likely "country" or "location". I will search for properties related to "country" and "location".

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/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
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. participant, also known as suspect, player, party, participants, has participant (wd:P710 as p/wdt): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person

No other items found

[Tool]
Got 89 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)                                                                            |
| 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) | location (wdt:P276)                                         | San Juan Hill (wd:Q7414587)                                                                            |
| Battle of San Juan Hill (wd:Q1215310) | point in time (wdt:P585)                                    | 1898-07-01T00:00:00Z                                                                                |
| Battle of San Juan Hill (wd:Q1215310) | participant (wdt:P710)                                      | United States (wd:Q30)                                                                                |
| Battle of San Juan Hill (wd:Q1215310) | order of battle (wdt:P4220)                                 | San Juan Hill order of battle (wd:Q7414586)                                                            |
| ...                                   | ...                                                         | ...                                                                                |

[Assistant]
From the data, the property "country" (wdt:P17) for the Battle of San Juan Hill (wd:Q1215310) is Cuba (wd:Q241).

Now, I will construct a SPARQL query that returns the country where the Battle of San Juan Hill took place, including the IRI and an optional label.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?coach WHERE {
  ?coach wdt:P6087 wd:Q330120
}

Ron Rivera is the only person listed as having coached the Carolina Panthers in Wikidata.

[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 has coached the carolina panthers?

[Assistant]
Let's break down the question:

1. The entity "Carolina Panthers" refers to an NFL team. I need to find its Wikidata entity.
2. The property "has coached" refers to people who have been coaches for this team. I need to find the relevant property for "coach" or "head coach" of a sports team.

First, I'll search for the entity "Carolina Panthers" in Wikidata.

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

[Assistant]
The main entity for the Carolina Panthers is wd:Q330120.

Next, I need to find the property that links a sports team to its coaches. I'll search for properties related to "coach" or "head coach".

[Tool]
Top 10 property alternatives:
1. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
2. coach of sports team, also known as trainer of sports team, club manager of sports team, trainer of, team manager of sports team, team manager of (wd:P6087 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): sports club or team for which this person is or was on-field manager or coach
3. PlaymakerStats.com coach ID, also known as PlaymakerStats.com manager ID, TheFinalBall coach ID (wd:P6316 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for an association football (soccer) coach at PlaymakerStats.com (formerly TheFinalBall.com)
4. LNB Coach id, also known as LNB Pro A coach ID (wd:P6743 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a coach in the French basketball championship
5. trained by, also known as personal trainer, trainer (wd:P10449 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): personal trainer of the athlete, student of
6. LevskiSofia.info coach ID (wd:P6410 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a coach at the LevskiSofia.info
7. TuttoCalciatori.net coach ID (wd:P7035 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier of a football coach in the website TuttoCalciatori.net
8. Soccerdonna coach ID, also known as Soccerdonna trainer ID (wd:P8134 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a coach at the Soccerdonna
9. LegaBasket.it coach ID (wd:P5612 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a coach at legabasket.it
10. VBL people ID, also known as VBL coach ID, VBL player ID, VBL staff ID (wd:P4298 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a volleyball player on the website of the German Volleyball Federation

[Assistant]
The two most relevant properties are:
- head coach (wd:P286): for the main coach of a sports team
- coach of sports team (wd:P6087): for people who have coached a team

Since we want to find people who have coached the Carolina Panthers, the property "coach of sports team" (wd:P6087) is likely the best fit. I'll check how this property is used with the Carolina Panthers as the object.

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

[Tool] Got no rows and 3 columns

[Assistant]
The only person found using the "coach of sports team" property for the Carolina Panthers is Ron Rivera (wd:Q1991889). The "head coach" property does not seem to be used with the Carolina Panthers as the object.

To ensure completeness, I'll check if there are any other properties commonly used to link coaches to the Carolina Panthers. I'll search for properties of the Carolina Panthers entity related to "coach".

[Tool]
Top 10 property alternatives:
1. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
5. category for members of a team, also known as category for players, category for team members (wd:P6112 as p/wdt): Wikimedia category for players playing for a sports team, topic's main category
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
7. Flashscore.com team ID, also known as flashscore.com/team/, FlashScore.com team ID, https://www.flashscore.com/team/, www.flashscore.com/team/ (wd:P7876 as p/wdt): identifier for a sports team in the FlashScore.com database
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
10. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

No other items found

[Assistant]
The only relevant property directly linking coaches to the Carolina Panthers is "coach of sports team" (wd:P6087), and it only returns Ron Rivera.

To be thorough, I'll check if there are any other people who have the Carolina Panthers as their "coach of sports team" using the reverse direction, just in case.

[Tool]
Got 1 row and 1 column:
| ?coach                   |
| ------------------------ |
| Ron Rivera (wd:Q1991889) |

[Assistant]
Based on the data in Wikidata, the only person listed as having coached the Carolina Panthers is Ron Rivera.

Here is the SPARQL query that finds this information:

SELECT ?coach WHERE { ?coach wdt:P6087 wd:Q330120 }

Final answer: Ron Rivera is the only person listed as having coached the Carolina Panthers in Wikidata.

[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 DISTINCT ?language ?property ?languageLabel WHERE {
  VALUES ?property {
    wdt:P37 wdt:P2936
  }
  wd:Q794 ?property ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( lang( ?languageLabel ) = "en" )
  }
}

Got 69 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?language                       | ?property                   | ?languageLabel   |
| ------------------------------- | --------------------------- | ---------------- |
| Southern Balochi (wd:Q12634001) | language used (wdt:P2936)   | Southern Balochi |
| Western Balochi (wd:Q12645561)  | language used (wdt:P2936)   | Western Balochi  |
| Eshtehardi (wd:Q12952418)       | language used (wdt:P2936)   | Eshtehardi       |
| Southern Luri (wd:Q12952748)    | language used (wdt:P2936)   | Southern Luri    |
| Rudbari (wd:Q12953072)          | language used (wdt:P2936)   | Rudbari          |
| ...                             | ...                         | ...              |
| Armenian (wd:Q8785)             | language used (wdt:P2936)   | Armenian         |
| Persian (wd:Q9168)              | language used (wdt:P2936)   | Persian          |
| Persian (wd:Q9168)              | official language (wdt:P37) | Persian          |
| Turkmen (wd:Q9267)              | language used (wdt:P2936)   | Turkmen          |
| Azerbaijani (wd:Q9292)          | language used (wdt:P2936)   | Azerbaijani      |

In Iran, the official language is Persian. Other widely used languages include Azerbaijani, Turkmen, Armenian, Southern Balochi, Western Balochi, Eshtehardi, Southern Luri, Rudbari, and more. The query returns the IRIs and English labels for all official and widely used languages in Iran.

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

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

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

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

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

[User] what kind of language do they speak in iran?

[Assistant]
Let's break down the question:

1. The user wants to know what language is spoken in Iran.
2. I need to identify the entity for "Iran" and the property that links a country to its official or spoken language(s).

First, I'll search for the entity "Iran" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia
2. Qajar Iran, also known as Guarded Domains of Persia, Sublime State of Persia, Qajar Persia, Persia, Iran (wd:Q63158027): country in Western Asia (1789–1925)
3. Iran (wd:Q2043606): village in North Ossetia, Russia
4. Iran, also known as Īrān (wd:Q10859757): Iranian newspaper
5. IRAN, also known as Iran: Journal of the British Institute of Persian Studies (wd:Q5973372): academic journal
6. Irane Man, also known as Iran (wd:Q100939484): 2018 studio by Homayoun Shajarian & Sohrab Pournazeri
7. IRAN (wd:Q108434787): herbarium
8. Iran, also known as Iran (first name), Iran (given name) (wd:Q21286079): male given name
9. Iran, also known as IMO 5327817 (wd:Q101778560): ship built in 1941
10. Iran (wd:Q96382820): About Iran

[Assistant]
The most relevant entity for the country Iran is wd:Q794.

Next, I need to find the property that links a country to its spoken or official language(s). I'll search for properties related to "language" in Wikidata.

[Tool]
Top 10 property alternatives:
1. programmed in, also known as language, programming language, written in (wd:P277 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the programming language(s) in which the software is developed
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language designated as official by this item, language used
5. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language widely used (spoken or written) in this place or at this event or organisation
6. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language or languages a person has learned from early childhood, languages spoken, written or signed
8. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language in which the writer has written their work, languages spoken, written or signed
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language status identifier by Ethnologue.com using EGIDS scale
10. variety of lexeme, form or sense, also known as dialect, used in dialect, variety of form (wd:P7481 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): dialect, graphic or phonetic variety that this lexeme, form or sense is used in

[Assistant]
The most relevant properties for the question are:
- official language (wd:P37): language designated as official by this item
- language used (wd:P2936): language widely used (spoken or written) in this place

Since the user asked "what kind of language do they speak in Iran," I'll focus on both the official language and widely used languages.

I'll write a SPARQL query to get both the official language(s) and widely used language(s) for Iran (wd:Q794).

[Tool]
Got 69 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?language                       | ?languageLabel   | ?property                   |
| ------------------------------- | ---------------- | --------------------------- |
| Southern Balochi (wd:Q12634001) | Southern Balochi | language used (wdt:P2936)   |
| Western Balochi (wd:Q12645561)  | Western Balochi  | language used (wdt:P2936)   |
| Eshtehardi (wd:Q12952418)       | Eshtehardi       | language used (wdt:P2936)   |
| Southern Luri (wd:Q12952748)    | Southern Luri    | language used (wdt:P2936)   |
| Rudbari (wd:Q12953072)          | Rudbari          | language used (wdt:P2936)   |
| ...                             | ...              | ...                         |
| Armenian (wd:Q8785)             | Armenian         | language used (wdt:P2936)   |
| Persian (wd:Q9168)              | Persian          | language used (wdt:P2936)   |
| Persian (wd:Q9168)              | Persian          | official language (wdt:P37) |
| Turkmen (wd:Q9267)              | Turkmen          | language used (wdt:P2936)   |
| Azerbaijani (wd:Q9292)          | Azerbaijani      | language used (wdt:P2936)   |

[Assistant]
The query shows that Iran has one official language, Persian (wd:Q9168), and many widely used languages, including Azerbaijani, Turkmen, Armenian, Southern Balochi, Western Balochi, Eshtehardi, Southern Luri, Rudbari, and more.

I will now provide a SPARQL query that returns the IRIs of all official and widely used languages in Iran, along with their English labels (if available) and the property indicating whether they are official or widely used.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?college WHERE {
  wd:Q134262 wdt:P69 ?college
}

Got 6 rows and 1 column:
| ?college                                               |
| ------------------------------------------------------ |
| University of Iowa (wd:Q182973)                        |
| University of Missouri (wd:Q579968)                    |
| The New School (wd:Q599316)                            |
| Soldan International Studies High School (wd:Q7557201) |
| Washington University in St. Louis (wd:Q777403)        |
| University City High School (wd:Q7894583)              |

Tennessee Williams attended the following colleges and universities: University of Iowa (wd:Q182973), University of Missouri (wd:Q579968), The New School (wd:Q599316), and Washington University in St. Louis (wd:Q777403).

[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] where did tennessee williams go to college?

[Assistant]
Let's break down the question:

1. The entity is "Tennessee Williams".
2. The property we are interested in is "educated at" or "college attended".

First, I will search for the entity "Tennessee Williams" in Wikidata to get the correct identifier.

[Tool]
Top 10 entity alternatives:
1. Tennessee Williams, also known as Thomas Lanier Williams III, Thomas Williams (wd:Q134262): American playwright (1911–1983), screenwriter, playwright, novelist, writer, poet
2. Tennessee Williams (wd:Q55896325)
3. Tennessee Williams (wd:Q47513341): painting by Buffie Johnson
4. Tennessee Williams (wd:Q47510960): painting by Bernard Safran
5. Tennessee Williams (wd:Q33979787): scientific article
6. Williamsport, also known as Williamsport, Tennessee, Williamsport, TN (wd:Q8021260): unincorporated community in Maury County, Tennessee
7. allée Tennessee Williams (wd:Q111588984): alley in Thiais, France
8. Tennessee Williams Canal (wd:Q49269468): canal in St. James Parish, Louisiana, United States of America
9. NOTEBOOKS: TENNESSEE WILLIAMS (wd:Q113218921): scientific article published on 19 May 2022
10. NOTEBOOKS: TENNESSEE WILLIAMS (wd:Q113214712): scientific article published on 05 February 2022

[Assistant]
The correct entity for Tennessee Williams, the American playwright, is wd:Q134262.

Next, I need to find the property for "college attended" or "educated at". I will search for properties related to "educated at".

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): educational institution attended by subject, affiliation
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person or organization who grants an award, certification, grant, or role
3. student of, also known as professor, studied under, pupil of, tutor, mentor (wd:P1066 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person who has taught this person, significant person
4. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): notable student(s) of the subject individual, significant person
5. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): subject is studied by this science or domain, field of work
6. gender educated (wd:P7419 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): genders educated at this educational institution
7. academic major, also known as academic subject, college major, field of study, major, studied (wd:P812 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): major someone studied at college/university
8. has role in modeling, also known as has role in modelling, used for investigating, used for researching, used for studying, used to investigate (wd:P6530 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): relation between a research artefact and an entity that is used ... its replicating or approximating features of the studied entity
9. academic degree, also known as academic diploma, degree, diploma (wd:P512 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): academic degree that the person holds
10. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

[Assistant]
The property "educated at" (wdt:P69) is the most relevant for finding where Tennessee Williams went to college.

Now, I will construct a SPARQL query to find the educational institutions attended by Tennessee Williams (wd:Q134262) using the property "educated at" (wdt:P69). I will also try to get the labels of the institutions for clarity.

[Tool]
Got 6 rows and 2 columns:
| ?college                                               | ?collegeLabel                            |
| ------------------------------------------------------ | ---------------------------------------- |
| University of Iowa (wd:Q182973)                        | University of Iowa                       |
| University of Missouri (wd:Q579968)                    | University of Missouri                   |
| The New School (wd:Q599316)                            | New School                               |
| Soldan International Studies High School (wd:Q7557201) | Soldan International Studies High School |
| Washington University in St. Louis (wd:Q777403)        | Washington University in St. Louis       |
| University City High School (wd:Q7894583)              | University City High School              |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?river ?coordinate ?osmRelation WHERE {
  VALUES ?river {
    wd:Q8321
  }
  OPTIONAL {
    ?river wdt:P625 ?coordinate
  }
  OPTIONAL {
    ?river wdt:P402 ?osmRelation
  }
  OPTIONAL {
    ?river rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}

The Illinois River is located at coordinates POINT(-90.454200 38.970300) and its full course can be viewed on OpenStreetMap with relation ID 2182434. These can be used to display the river's location on a map.

[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] where is the illinois river on a map?

[Assistant]
Let's break down the question:

1. The user is asking about the location of the Illinois River on a map.
2. We need to identify the entity for the Illinois River in Wikidata.
3. Then, we need to find its geographic coordinates or shape, which can be shown on a map.

First, I'll search for the entity "Illinois River" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Illinois River (wd:Q8321): Illinois tributary of the Mississippi River in the United States
2. Illinois River (wd:Q1309881): tributary of the Rogue River in Curry and Josephine counties in Oregon, United States
3. Illinois River (wd:Q5999628): Colorado tributary of the Michigan River
4. Illinois River (wd:Q5999623): river in Arkansas and Oklahoma
5. Chicago River, also known as Chicago river, Chicago (river, Illinois), Chicago River main stem, Chicago River (United States) (wd:Q643284): river in Chicago, Illinois, United States
6. Wood River, also known as Wood River, IL, Wood River (Illinois), Wood River, Illinois (wd:Q185601): city in Illinois, United States
7. River Forest, also known as River Forest, IL, River Forest, Illinois (wd:Q2299339): village in Cook County, Illinois, United States
8. River Grove, also known as River Grove, IL, River Grove, Illinois (wd:Q783421): village in Cook County, Illinois, United States of America
9. Apple River, also known as Apple River, Illinois (wd:Q621346): human settlement in Illinois, United States of America
10. Riverside, also known as Riverside, Illinois, Riverside IL, Riverside, IL (wd:Q2462183): village in Cook County, Illinois, United States

[Assistant]
The most relevant entity for the Illinois River in Illinois is wd:Q8321.

Next, I need to find properties that provide geographic coordinates or a map location for this river. I will search for properties related to "coordinates" or "location" for this entity.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. length, also known as size, long, LOA, distance, dimension (wd:P2043 as p/wdt): measured dimension of an object
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as wdtn/p/wdt): identifier in the GeoNames geographical database
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
8. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdtn/p/wdt): identifier from an international authority file of names, subjects, and organizations
9. OpenStreetMap relation ID, also known as OpenStreetMap relation, OpenStreetMap relation identifier, OSM relation, OSM relation ID, osm rel id (wd:P402 as wdtn/p/wdt): identifier for a relation in OpenStreetMap

No other items found

[Assistant]
The most relevant property for showing the Illinois River on a map is "coordinate location" (wdt:P625). Additionally, the "OpenStreetMap relation ID" (wdt:P402) could be useful for mapping.

I will now check if the Illinois River (wd:Q8321) has coordinate locations or an OpenStreetMap relation ID.

[Tool]
Got 283 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                                                    | object                                                                                |
| ------------------------- | ----------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
| Illinois River (wd:Q8321) | instance of (wdt:P31)                                       | river (wd:Q4022)                                                                                |
| Illinois River (wd:Q8321) | country (wdt:P17)                                           | United States (wd:Q30)                                                                                |
| Illinois River (wd:Q8321) | located in the administrative territorial entity (wdt:P131) | Illinois (wd:Q1204)                                                                                |
| Illinois River (wd:Q8321) | coordinate location (wdt:P625)                              | POINT(-90.454200 38.970300)                                                                                |
| Illinois River (wd:Q8321) | Commons category (wdt:P373)                                 | Illinois River                                                                                |
| Illinois River (wd:Q8321) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Illinois%20River%2C%20seen%20from%20Starved%20Rock.jpg> |
| Illinois River (wd:Q8321) | described by source (wdt:P1343)                             | The New Student's Reference Work (wd:Q16082057)                                                             |
| Illinois River (wd:Q8321) | topic's main category (wdt:P910)                            | wd:Q8532326                                                                                |
| Illinois River (wd:Q8321) | length (wdt:P2043)                                          | 432                                                                                |
| Illinois River (wd:Q8321) | mouth of the watercourse (wdt:P403)                         | Mississippi River (wd:Q1497)                                                                                |
| ...                       | ...                                                         | ...                                                                                |

[Assistant]
The Illinois River (wd:Q8321) has a "coordinate location" property with the value POINT(-90.454200 38.970300), which represents a specific point on the river. This can be used to display its location on a map.

For completeness, I will also check if there is an OpenStreetMap relation ID, which could provide a more detailed map outline.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                             | object  |
| ------------------------- | ------------------------------------ | ------- |
| Illinois River (wd:Q8321) | OpenStreetMap relation ID (wdt:P402) | 2182434 |

[Assistant]
The Illinois River (wd:Q8321) has an OpenStreetMap relation ID of 2182434, which can be used to show its full course on a map.

I will now construct a SPARQL query that returns both the coordinate location and the OpenStreetMap relation ID for the Illinois River, so you can see where it is on a map.

[Tool] Stopped generation process