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 ?givenName ?givenNameLabel ?familyName ?familyNameLabel WHERE {
  wd:Q312581 wdt:P735 ?givenName .
  OPTIONAL {
    ?givenName rdfs:label ?givenNameLabel FILTER ( lang( ?givenNameLabel ) = "en" )
  }
  wd:Q312581 wdt:P734 ?familyName .
  OPTIONAL {
    ?familyName rdfs:label ?familyNameLabel FILTER ( lang( ?familyNameLabel ) = "en" )
  }
}

Got 8 rows and 4 columns:
| givenName                | givenNameLabel | familyName            | familyNameLabel |
| ------------------------ | -------------- | --------------------- | --------------- |
| Casimir (wd:Q18176264)   | Casimir (en)   | Stuart (wd:Q23041619) | Stuart (en)     |
| Sylvester (wd:Q19828535) | Sylvester (en) | Stuart (wd:Q23041619) | Stuart (en)     |
| Severino (wd:Q2275264)   | Severino (en)  | Stuart (wd:Q23041619) | Stuart (en)     |
| Maria (wd:Q25413386)     | Maria (en)     | Stuart (wd:Q23041619) | Stuart (en)     |
| Edward (wd:Q278835)      | Edward (en)    | Stuart (wd:Q23041619) | Stuart (en)     |
| Louis (wd:Q2897866)      | Louis (en)     | Stuart (wd:Q23041619) | Stuart (en)     |
| Charles (wd:Q2958359)    | Charles (en)   | Stuart (wd:Q23041619) | Stuart (en)     |
| John (wd:Q4925477)       | John (en)      | Stuart (wd:Q23041619) | Stuart (en)     |

According to Wikidata, Bonnie Prince Charlie (Charles Edward Stuart) had the following full name components: given names John, Charles, Edward, Louis, Severino, Casimir, Sylvester, Maria, and family name Stuart.

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

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

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

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

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

[User] what was bonnie prince charlie full name?

[Assistant]
Let's break down the question:

1. The user is asking for the full name of "Bonnie Prince Charlie".
2. First, I need to identify the Wikidata entity for "Bonnie Prince Charlie".
3. Then, I need to find the property that gives the "full name" of a person.

Step 1: Search for the entity "Bonnie Prince Charlie".

[Tool]
Top 10 entity alternatives:
1. Charles Edward Stuart, also known as The Young Pretender, The Young Chevalier, Charles III of England, Scotland, and Ireland, Charles III of England, Scotland and Ireland, Bonnie Prince Charlie (wd:Q312581): Jacobite pretender to the thrones of England, Scotland, Ireland, and France; (1720-1788), military leader, pretender
2. Bonnie Prince Charlie (wd:Q4942424): 1923 British silent historical film directed by Charles Calvert
3. Bonnie Prince Charlie (wd:Q4942426): 1948 film
4. Bonnie Prince Charlie (wd:Q58446788)
5. Bonnie Prince Charlie (1720–1788) (wd:Q119867964): painting by Louis Tocqué (1696–1772) (after), Kirkcaldy Galleries
6. Grevillea rosmarinifolia ‘Bonnie Prince Charlie’ (wd:Q104183391)
7. Bonnie Prince Charlie's Cave (wd:Q106963412): cave in Highland, Scotland, UK
8. Bonnie Prince Charlie (Prince Charles Edward Stuart, 1720–1788) (wd:Q119438652): painting by Roy Petrie (b.1946), Skye and Lochalsh Archive Centre (High Life Highland)
9. Flora MacDonald's Introduction to Bonnie Prince Charlie (wd:Q119729269): painting by Alexander Johnston (1815–1891), Museums Sheffield
10. Prince Charles Edward Stuart (1720–1788) ('Bonnie Prince Charlie') (wd:Q119947071): painting by unknown artist, Provand’s Lordship

[Assistant]
The most relevant entity for "Bonnie Prince Charlie" is "Charles Edward Stuart" (wd:Q312581), who was also known as Bonnie Prince Charlie.

Next, I need to find the property that gives the "full name" of a person. I'll search for properties related to "full name".

[Tool]
Top 10 property alternatives:
1. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): full name of a person at birth, if different from their current, generally used name, name
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): official name of the subject in its official language(s), name
3. title, also known as name, titled, page name, original title, known as (wd:P1476 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
4. married name, also known as full name (married) (wd:P2562 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name or surname adopted by a person upon marriage, name
5. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name the subject is known by; preferably use a more specific subproperty if available
8. street address, also known as postal address, physical address, mailing address, located at street address, full address (wd:P6375 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): full street address where subject is located. Include building n...t country; use also P669 if the street has its own separate item
9. author last names, also known as author last name, surnames, surname, last names, last name (wd:P9688 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to provide string representation of family or primary ...presented in a bibliographic reference file (for example BibTeX), family name
10. family name, also known as clan name, last name, surname (wd:P734 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): part of full name of person, name

[Assistant]
The most relevant properties for "full name" are:
- birth name (wd:P1477)
- official name (wd:P1448)

Since "birth name" is typically used for a person's full name at birth, and "official name" may also be relevant, I will check both properties for Charles Edward Stuart (wd:Q312581).

First, I will list the values for "birth name" (wd:P1477) and "official name" (wd:P1448) for wd:Q312581.

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
Neither "birth name" (wd:P1477) nor "official name" (wd:P1448) have values for Charles Edward Stuart (wd:Q312581) in Wikidata.

Next, I will check if there are other properties that might contain his full name, such as "name" (wd:P2561) or "given name" (wd:P735) and "family name" (wd:P734). I'll start by listing the "name" property.

[Tool] Got no rows and 3 columns

[Tool]
Got 8 rows and 3 columns:
| subject                            | property              | object                   |
| ---------------------------------- | --------------------- | ------------------------ |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | John (wd:Q4925477)       |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Charles (wd:Q2958359)    |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Edward (wd:Q278835)      |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Louis (wd:Q2897866)      |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Severino (wd:Q2275264)   |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Casimir (wd:Q18176264)   |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Sylvester (wd:Q19828535) |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735) | Maria (wd:Q25413386)     |

[Tool]
Got 1 row and 3 columns:
| subject                            | property               | object                |
| ---------------------------------- | ---------------------- | --------------------- |
| Charles Edward Stuart (wd:Q312581) | family name (wdt:P734) | Stuart (wd:Q23041619) |

[Tool]
Got 59 rows and 3 columns, showing the first 10 rows below:
| subject                            | property   | object                        |
| ---------------------------------- | ---------- | ----------------------------- |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Bonnie Prince Charlie (gl)    |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Carles Eduard Stuart (ca)     |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Carlo Edoardo Stuart (it)     |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Carlos Eduardo Estuardo (es)  |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Carlos Eduardo Stuart (pt-br) |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Charles Édouard Stuart (fr)   |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Charles Edward Stuart (br)    |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Charles Edward Stuart (cy)    |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Charles Edward Stuart (de)    |
| Charles Edward Stuart (wd:Q312581) | rdfs:label | Charles Edward Stuart (de-ch) |
| ...                                | ...        | ...                           |

[Tool]
Got 568 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                         | object                                                                                |
| ---------------------------------- | -------------------------------- | --------------------------------------------------------------------------------------------------------- |
| Charles Edward Stuart (wd:Q312581) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Charles Edward Stuart (wd:Q312581) | occupation (wdt:P106)            | pretender (wd:Q845929)                                                                                |
| Charles Edward Stuart (wd:Q312581) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Charles Edward Stuart (wd:Q312581) | given name (wdt:P735)            | John (wd:Q4925477)                                                                                |
| Charles Edward Stuart (wd:Q312581) | date of birth (wdt:P569)         | 1720-12-31T00:00:00Z (xsd:dateTime)                                                                       |
| Charles Edward Stuart (wd:Q312581) | Commons category (wdt:P373)      | Charles Edward Stuart                                                                                |
| Charles Edward Stuart (wd:Q312581) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Lost%20Portrait%20of%20Charles%20Edward%20Stuart.jpg> |
| Charles Edward Stuart (wd:Q312581) | country of citizenship (wdt:P27) | Kingdom of Great Britain (wd:Q161885)                                                                     |
| Charles Edward Stuart (wd:Q312581) | family name (wdt:P734)           | Stuart (wd:Q23041619)                                                                                |
| Charles Edward Stuart (wd:Q312581) | place of birth (wdt:P19)         | Palazzo Muti (wd:Q3360903)                                                                                |
| ...                                | ...                              | ...                                                                                |

[Assistant]
Based on the data, Charles Edward Stuart (Bonnie Prince Charlie) has the following given names:
- John
- Charles
- Edward
- Louis
- Severino
- Casimir
- Sylvester
- Maria

And his family name is:
- Stuart

Therefore, his full name is: John Charles Edward Louis Philip Casimir Sylvester Maria Stuart.

However, I notice "Philip" is not among the given names in Wikidata, but it is commonly included in historical sources. For this answer, I will stick strictly to the data found in Wikidata.

Now, I will construct a SPARQL query that returns all given names and the family name for wd:Q312581, so the user can see the full name as represented in Wikidata.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all given names and the family name for Bonnie Prince Charlie (Charles Edward Stuart) using the appropriate properties (wdt:P735 for given name and wdt:P734 for family name). The query returns the IRIs for each name, and labels are included as optional, which is appropriate. The answer provided is accurate and complete according to the Wikidata knowledge graph. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?what WHERE {
  VALUES ?prop {
    wdt:P106 wdt:P39
  }
  wd:Q11881 ?prop ?what .
}

Got 9 rows and 1 column:
| what                                                                |
| ------------------------------------------------------------------- |
| President of the United States (wd:Q11696)                          |
| Vice President of the United States (wd:Q11699)                     |
| member of the United States House of Representatives (wd:Q13218630) |
| member of the Virginia House of Delegates (wd:Q20065408)            |
| statesperson (wd:Q372436)                                           |
| lawyer (wd:Q40348)                                                  |
| United States senator (wd:Q4416090)                                 |
| politician (wd:Q82955)                                              |
| Governor of Virginia (wd:Q878942)                                   |

John Tyler (wd:Q11881) was President of the United States (wd:Q11696), Vice President of the United States (wd:Q11699), member of the United States House of Representatives (wd:Q13218630), member of the Virginia House of Delegates (wd:Q20065408), statesperson (wd:Q372436), lawyer (wd:Q40348), United States senator (wd:Q4416090), politician (wd:Q82955), and Governor of Virginia (wd:Q878942).

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

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

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

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

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

[User] what was john tyler?

[Assistant]
Let's break down the question:

1. The user is asking "what was John Tyler?" which likely refers to his occupations, roles, or notable positions (e.g., President of the United States, politician, etc.).
2. First, I need to identify the correct entity for John Tyler in Wikidata.
3. Then, I should look for properties that describe "what" he was—typically occupation (P106), position held (P39), or similar.

Step 1: Search for the entity "John Tyler".

[Tool]
Top 10 entity alternatives:
1. John Tyler, also known as John Tyler, Jr., J. Tyler, President Tyler, John Tyler Jr, John Tyler, Jr (wd:Q11881): president of the United States from 1841 to 1845, statesperson, politician, lawyer
2. John Tyler, also known as John Tyler Sr. (wd:Q721855): United States federal judge (1747-1813), politician, lawyer, judge
3. John Tyler (wd:Q23620196): American ophthalmologist, ophthalmologist, politician, physician
4. John Tyler (wd:Q18210624): British bishop (1640–1724)
5. John W. Tyler, also known as John Tyler, Sir John William Tyler, John William Tyler (wd:Q106612962): British surgeon and superintendent of the central prison in Agra, India, surgeon
6. Tyler, John (wd:Q94970044): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886
7. Tyler John (wd:Q122291090): association football player, American soccer player
8. J.T. Adams, also known as John Tyler, John Tyler Adams (wd:Q112180375): American musician, blues musician
9. John Charles Roper Tyler, also known as John Tyler (wd:Q75312581): (born 1878)
10. John G. Tyler, also known as John Tyler (wd:Q111320947): American politician, politician

[Assistant]
The most likely entity the user is referring to is "John Tyler" (wd:Q11881), who was the president of the United States from 1841 to 1845.

Next, I will search for properties related to "occupation," "position held," or similar for wd:Q11881 to determine what he was.

[Tool]
Top 10 property alternatives:
1. 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)
2. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
3. 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
4. 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
5. 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
6. 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
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
8. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
9. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
10. 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

No other items found

[Assistant]
The relevant properties to answer "what was John Tyler?" are "occupation" (wdt:P106) and "position held" (wdt:P39). These will tell us his professions and the offices he held.

I will now construct a SPARQL query to retrieve all values for "occupation" (wdt:P106) and "position held" (wdt:P39) for John Tyler (wd:Q11881), and also optionally get their labels for clarity.

[Tool]
Got 9 rows and 2 columns:
| what                                                                | whatLabel                                                 |
| ------------------------------------------------------------------- | --------------------------------------------------------- |
| President of the United States (wd:Q11696)                          | President of the United States (en)                       |
| Vice President of the United States (wd:Q11699)                     | Vice President of the United States (en)                  |
| member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives (en) |
| member of the Virginia House of Delegates (wd:Q20065408)            | member of the Virginia House of Delegates (en)            |
| statesperson (wd:Q372436)                                           | statesperson (en)                                         |
| lawyer (wd:Q40348)                                                  | lawyer (en)                                               |
| United States senator (wd:Q4416090)                                 | United States senator (en)                                |
| politician (wd:Q82955)                                              | politician (en)                                           |
| Governor of Virginia (wd:Q878942)                                   | Governor of Virginia (en)                                 |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all values for John Tyler's occupations (P106) and positions held (P39), which are relevant to answering the question 'what was John Tyler?'. The answer lists the IRIs as required, and the information is accurate and complete. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?item ?itemLabel ?type WHERE {
  VALUES ?typeProp {
    wdt:P800 wdt:P101 wdt:P106
  }
  wd:Q307 ?typeProp ?item .
  BIND( IF( ?typeProp = wdt:P800 , "notable work" , IF( ?typeProp = wdt:P101 , "field of work" , IF( ?typeProp = wdt:P106 , "occupation" , "other" ) ) ) AS ?type ) OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( lang( ?itemLabel ) = "en" )
  }
}

Got 16 rows and 3 columns, showing the first 5 and last 5 rows below:
| item                                       | itemLabel                         | type          |
| ------------------------------------------ | --------------------------------- | ------------- |
| astronomer (wd:Q11063)                     | astronomer (en)                   | occupation    |
| equations for a falling body (wd:Q1132975) | equations for a falling body (en) | notable work  |
| astrologer (wd:Q155647)                    | astrologer (en)                   | occupation    |
| university teacher (wd:Q1622272)           | university teacher (en)           | occupation    |
| physicist (wd:Q169470)                     | physicist (en)                    | occupation    |
| ...                                        | ...                               | ...           |
| physics (wd:Q413)                          | physics (en)                      | field of work |
| philosopher (wd:Q4964182)                  | philosopher (en)                  | occupation    |
| philosophy (wd:Q5891)                      | philosophy (en)                   | field of work |
| engineer (wd:Q81096)                       | engineer (en)                     | occupation    |
| scientist (wd:Q901)                        | scientist (en)                    | occupation    |

Galileo Galilei was famous for his notable works (such as the Galilean transformation and equations for a falling body), his fields of work (mathematics, astronomy, philosophy, physics, mechanics), and his occupations (scientist, mathematician, engineer, philosopher, astronomer, physicist, inventor, astrologer, university teacher).

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

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

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

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

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

[User] what galileo galilei was famous for?

[Assistant]
Let's break down the question:

1. The user wants to know what Galileo Galilei was famous for.
2. This implies we need to find Galileo Galilei's notable achievements, discoveries, or what he is known for.
3. In Wikidata, such information is often captured under properties like "notable work", "field of work", "known for", "occupation", or "significant event".

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, the Italian polymath, is wd:Q307.

Next, I need to find which properties in Wikidata are used to describe what someone is "famous for" or "known for". Common candidates are "known for", "notable work", "significant event", "field of work", etc.

I will search for properties related to "famous for" and "known for".

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): 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 psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): alias used by someone (for nickname use P1449), name

[Assistant]
The most relevant properties for "what Galileo Galilei was famous for" are:

- notable work (wd:P800)
- significant event (wd:P793)

"Notable work" is usually for works (books, inventions, etc.), while "significant event" can include discoveries or achievements. To be thorough, I will check both properties for Galileo Galilei (wd:Q307).

First, I will list the "notable work" (wd:P800) for Galileo Galilei.

[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 no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): significant or notable events associated with the subject
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): notable scientific, artistic or literary work, or other work of significance among subject's works
3. title, also known as name, titled, page name, original title, known as (wd:P1476 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
4. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name the subject is known by; preferably use a more specific subproperty if available
5. floruit, also known as work period, living, known alive in, flourished, fl. (wd:P1317 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date when the person was known to be active or alive, when birth or death not documented
6. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): person linked to the item in any possible way
7. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
8. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): alias used by someone (for nickname use P1449), name
9. alternative name, also known as also known as, variant term, variant name, variant heading, variant form (wd:P4970 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier for alternative name(s), given for a subject in a data...rved in references (even these are no longer the preferred name)
10. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): informal name (for a pseudonym use P742), name

[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. 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)
3. 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
4. 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
5. 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
6. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as p/wdt): collection that has works of this person or organisation (use archives at [P485] for archives)
7. 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
8. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as p/wdt): language in which the writer has written their work, languages spoken, written or signed
9. 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
10. doctoral student, also known as Ph.D. student, supervisee, supervised doctoral student, doctoral candidate (wd:P185 as p/wdt): doctoral student(s) of a professor, student

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

[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. 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)
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. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
6. 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
7. AccessScience ID, also known as Access Science ID, Access Science identifier, AccessScience identifier (wd:P10707 as p/wdt): identifier for content in the online encyclopedia AccessScience
8. 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
9. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
10. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

No other items found

[Assistant]
I have now gathered the following relevant information about what Galileo Galilei was famous for, based on Wikidata:

- Notable works: Galilean transformation (wd:Q219207), equations for a falling body (wd:Q1132975)
- Fields of work: mathematics (wd:Q395), astronomy (wd:Q333), philosophy (wd:Q5891), physics (wd:Q413), mechanics (wd:Q41217)
- Occupations: scientist, mathematician, engineer, philosopher, astronomer, physicist, inventor, astrologer, university teacher

To answer the question, I will construct a SPARQL query that returns all of these aspects: notable works, fields of work, and occupations for Galileo Galilei, along with their labels (if available).

Here is the final SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the IRIs of Galileo Galilei's notable works, fields of work, and occupations, as requested by the question. The answer is comprehensive and provides a clear summary of what Galileo Galilei was famous for, based on the returned data. The query also follows the required guidelines, including the use of optional labels and returning IRIs. No further refinement is necessary.


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 ?timezone WHERE {
  wd:Q8646 wdt:P421 ?timezone .
  OPTIONAL {
    ?timezone rdfs:label ?timezoneLabel FILTER ( lang( ?timezoneLabel ) = "en" )
  }
}

Hong Kong is in the UTC+08:00 time zone (China Standard Time). The current time in Hong Kong is the same as UTC+8.

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

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

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

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

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

[User] what time in china hong kong?

[Assistant]
Let's break down the question:

1. The user wants to know the current time in "China Hong Kong" (Hong Kong, China).
2. We need to identify the entity for Hong Kong and the property for current time or time zone.

Step 1: Search for the entity "Hong Kong" in Wikidata.

[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 most relevant entity for Hong Kong as a city and special administrative region of China is wd:Q8646.

Next, I need to find the property in Wikidata that gives the current time or time zone for a location. I will search for properties related to "current time" and "time zone".

[Tool]
Top 10 property alternatives:
1. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
2. located in time zone, also known as TZ, time zone, timezone (wd:P421 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time zone for this item
3. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
4. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
5. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date represented in a work (for narrative works use P2408)
6. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): indicate when something happens relative to its beginning
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time an entity begins to exist or a statement starts being valid, point in time
8. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
9. check-in time, also known as checkin time (wd:P8745 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the earliest time of day at which a reserved room in a hotel, inn or lodge is available to an arriving guest
10. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit

[Assistant]
The property "located in time zone" (wd:P421) is the most relevant for finding the time zone of Hong Kong. Wikidata does not store the current time directly, but it does store the time zone, which can be used to infer the current time.

Next, I will check which time zone is associated with Hong Kong (wd:Q8646) using the property "located in time zone" (wd:P421).

[Tool]
Got 1 row and 3 columns:
| subject              | property                        | object               |
| -------------------- | ------------------------------- | -------------------- |
| Hong Kong (wd:Q8646) | located in time zone (wdt:P421) | UTC+08:00 (wd:Q6985) |

[Tool]
Got 432 rows and 3 columns, showing the first 10 rows below:
| subject              | property                          | object                                                                           |
| -------------------- | --------------------------------- | -------------------------------------------------------------------------------- |
| UTC+08:00 (wd:Q6985) | instance of (wdt:P31)             | time zone named for a UTC offset (wd:Q17272482)                                  |
| UTC+08:00 (wd:Q6985) | Commons category (wdt:P373)       | UTC+08:00                                                                        |
| UTC+08:00 (wd:Q6985) | image (wdt:P18)                   | <http://commons.wikimedia.org/wiki/Special:FilePath/Timezones2011%20UTC%2B8.png> |
| UTC+08:00 (wd:Q6985) | topic's main category (wdt:P910)  | wd:Q9718676                                                                      |
| UTC+08:00 (wd:Q6985) | said to be the same as (wdt:P460) | China Standard Time (wd:Q1143153)                                                |
| UTC+08:00 (wd:Q6985) | replaces (wdt:P1365)              | Changpai Time Zone (wd:Q20757849)                                                |
| UTC+08:00 (wd:Q6985) | UTC timezone offset (wdt:P2907)   | 8 (xsd:decimal)                                                                  |
| UTC+08:00 (wd:Q6985) | Freebase ID (wdt:P646)            | /m/071r4p                                                                        |
| UTC+08:00 (wd:Q6985) | wdt:P31279                        | administrative region (wd:Q3455524)                                              |
| UTC+08:00 (wd:Q6985) | schema:description                | 8 timar framfor koordinert universaltid (nn)                                     |
| ...                  | ...                               | ...                                                                              |

[Assistant]
Hong Kong (wd:Q8646) is located in the time zone UTC+08:00 (wd:Q6985), which is also known as China Standard Time (wd:Q1143153).

Wikidata does not store the current time as a dynamic value, but it does provide the time zone. Therefore, the best possible SPARQL query will return the time zone entity for Hong Kong, which allows a user (or an application) to compute the current time.

Here is the final SPARQL query that returns the time zone(s) of Hong Kong, along with optional labels for human readability.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the time zone of Hong Kong (wd:Q8646) using the appropriate property (wdt:P421). The answer provided is accurate and matches the query result. The query also optionally retrieves the label for the time zone, which is helpful for human readability. No further refinement is needed.


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 ?venue ?venueLabel WHERE {
  wd:Q204623 wdt:P115 ?venue .
  OPTIONAL {
    ?venue rdfs:label ?venueLabel FILTER ( lang( ?venueLabel ) = "en" )
  }
}

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 http://amur:7001

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

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

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

[User] where do florida panthers play?

[Assistant]
Let's break down the question:

1. The entity is "Florida Panthers", which is a professional ice hockey team.
2. The property we are interested in is the "home venue" or "plays at" (i.e., the arena or stadium where the team plays).

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

[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, stadium, or arena. Common property names might be "home venue", "plays at", or "arena/stadium". I will search for relevant properties.

[Tool]
Top 10 property alternatives:
1. 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
2. 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
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. competition won, also known as won event, won, winner of, victory (wd:P2522 as p/wdt): competition or sports event won by the subject, participant in
5. 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)
6. 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
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. 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
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work

No other items found

[Assistant]
The property "home venue" (wdt:P115) is the most relevant for linking a sports team to the arena or stadium where it plays.

Now, I will construct a SPARQL query to find the home venue(s) of the Florida Panthers (wd:Q204623) using the property wdt:P115. I will also try to get the label of the venue for readability.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the home venue (wdt:P115) of the Florida Panthers (wd:Q204623) and optionally fetches its English label. The answer provided matches the query result and includes the correct IRI. No further refinement is necessary.


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

Got 1 row and 2 columns:
| country        | countryLabel |
| -------------- | ------------ |
| Cuba (wd:Q241) | Cuba (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 http://amur:7001

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

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

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

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

[Assistant]
Let's break down the question:

1. The user is asking for the country where the Battle of San Juan Hill took place.
2. First, I need to identify the entity for "Battle of San Juan Hill" in Wikidata.
3. Then, I need to find the property that links an event (battle) to its location or country.
4. Finally, I will construct a SPARQL query to return the country where the battle took place.

Step 1: Search for the entity "Battle of San Juan Hill".

[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 "Battle of San Juan Hill" is wd:Q1215310 (Battle of San Juan Hill, also known as Battle for the San Juan Heights, 1898 decisive battle of the Spanish–American War).

Next, I need to find the property that links a historical event or battle to its country. Common properties for this are "country", "location", or "territory". I will search for properties related to "country" for this entity.

[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

[Assistant]
The most relevant property for linking an event to a country is "country" (wdt:P17). There is also "located in the administrative territorial entity" (wdt:P131) and "location" (wdt:P276), but "country" is the most direct answer to the user's question.

Next, I will check if the "Battle of San Juan Hill" (wd:Q1215310) has a value for the property "country" (wdt:P17).

[Tool]
Got 1 row and 3 columns:
| subject                               | property          | object         |
| ------------------------------------- | ----------------- | -------------- |
| Battle of San Juan Hill (wd:Q1215310) | country (wdt:P17) | Cuba (wd:Q241) |

[Tool]
Got 1 row and 1 column:
| country        |
| -------------- |
| Cuba (wd:Q241) |

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query retrieves the country (using wdt:P17) for the Battle of San Juan Hill (wd:Q1215310), and the result correctly identifies Cuba as the country where the battle took place. The query also optionally retrieves the English label for the country. No further refinement is necessary.