PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?museum ?museumLabel WHERE {
  wd:Q471379 wdt:P527 ?version .
  OPTIONAL {
    ?version wdt:P276 ?museum .
  }
  OPTIONAL {
    ?version wdt:P195 ?museum .
  }
  ?museum wdt:P31 / wdt:P279 * wd:Q33506 .
  OPTIONAL {
    ?museum rdfs:label ?museumLabel FILTER ( lang( ?museumLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| museum                                                        | museumLabel                                          |
| ------------------------------------------------------------- | ---------------------------------------------------- |
| National Museum of Art, Architecture and Design (wd:Q1132918) | National Museum of Art, Architecture and Design (en) |
| National Gallery of Norway (wd:Q3330707)                      | National Gallery of Norway (en)                      |
| Munch Museum (wd:Q844926)                                     | Munch Museum (en)                                    |

The Scream by Edvard Munch is exhibited at the National Museum of Art, Architecture and Design (wd:Q1132918), the National Gallery of Norway (wd:Q3330707), and the Munch Museum (wd:Q844926).

[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] Which museum exhibits The Scream by Munch?

[Assistant]
Let's break down the question:

1. The user is asking which museum exhibits "The Scream" by Edvard Munch.
2. We need to identify the entity for "The Scream" (the painting) and Edvard Munch (the artist), and then find the property that links an artwork to the museum where it is exhibited.

Step 1: Search for the entity "The Scream" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. The Scream, also known as Scream (wd:Q471379): group of paintings by Edvard Munch
2. The Scream (wd:Q1188720): album by Siouxsie and the Banshees
3. De Schreeuw, also known as The Scream (wd:Q920580): sculpture by Jeroen Henneman
4. The Scream (wd:Q1101680): American hard rock band
5. The Scream, also known as Scream (wd:Q4241005): 1993 Azerbaijani war film by Jeyhun Mirzayev
6. The Scream (wd:Q18891158): painting by Edvard Munch (1910)
7. The Scream (wd:Q18891156): painting by Edvard Munch (1893)
8. The Scream (wd:Q18891155): pastel drawing by Edvard Munch (1893)
9. The Scream (wd:Q18891157): pastel by Edvard Munch (1895)
10. The Scream (wd:Q67151412): 2019 short film directed by Francesco Barilli

[Assistant]
There are multiple versions of "The Scream" by Edvard Munch, including paintings and pastels from different years. The main group is wd:Q471379 ("The Scream", group of paintings by Edvard Munch), and there are specific versions:

- wd:Q18891158: painting (1910)
- wd:Q18891156: painting (1893)
- wd:Q18891155: pastel (1893)
- wd:Q18891157: pastel (1895)

To answer the user's question, I should check which museum exhibits any of these versions. First, let's check the group entity wd:Q471379 to see if it links to a museum, or if the individual versions do.

Step 2: List properties of wd:Q471379 to see if there is a property linking it to a museum or collection.

[Tool]
Got 416 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                       | object                                                                                |
| ----------------------- | ------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| The Scream (wd:Q471379) | instance of (wdt:P31)          | work of art (wd:Q838948)                                                                                |
| The Scream (wd:Q471379) | title (wdt:P1476)              | Der Schrei der Natur (de)                                                                                |
| The Scream (wd:Q471379) | coordinate location (wdt:P625) | POINT(10.737500 59.916111) (geo:wktLiteral)                                                                                |
| The Scream (wd:Q471379) | Commons category (wdt:P373)    | The Scream by Edvard Munch                                                                                |
| The Scream (wd:Q471379) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/Edvard%20Munch%2C%201893%2C%20The%20Scream%2C%20oil%2C%20tempera%20and%20pastel%20on%20cardboard%2C%2091%20x%2073%20cm%2C%20National%20Gallery%20of%20Norway.jpg> |
| The Scream (wd:Q471379) | location (wdt:P276)            | California (wd:Q99)                                                                                |
| The Scream (wd:Q471379) | inception (wdt:P571)           | 1893-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| The Scream (wd:Q471379) | collection (wdt:P195)          | National Museum of Art, Architecture and Design (wd:Q1132918)                                                                                |
| The Scream (wd:Q471379) | has part(s) (wdt:P527)         | The Scream (wd:Q18891155)                                                                                |
| The Scream (wd:Q471379) | creator (wdt:P170)             | Edvard Munch (wd:Q41406)                                                                                |
| ...                     | ...                            | ...                                                                                |

[Assistant]
From the properties of wd:Q471379 ("The Scream" group), I see that:

- There is a collection property (wdt:P195) pointing to the "National Museum of Art, Architecture and Design" (wd:Q1132918).
- There is also a location property (wdt:P276) pointing to "California" (wd:Q99), which seems odd and possibly incorrect for this artwork.

To be thorough, I should also check the individual versions (paintings and pastels) to see if they are exhibited in different museums.

Step 3: List properties for wd:Q18891156 (painting, 1893) to check its collection/museum.

[Tool]
Got 213 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                       | object                                                                                |
| ------------------------- | ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| The Scream (wd:Q18891156) | instance of (wdt:P31)          | painting (wd:Q3305213)                                                                                |
| The Scream (wd:Q18891156) | title (wdt:P1476)              | Der Schrei (de)                                                                                |
| The Scream (wd:Q18891156) | catalog code (wdt:P528)        | 16                                                                                |
| The Scream (wd:Q18891156) | country (wdt:P17)              | Norway (wd:Q20)                                                                                |
| The Scream (wd:Q18891156) | coordinate location (wdt:P625) | POINT(10.737500 59.916200) (geo:wktLiteral)                                                                                |
| The Scream (wd:Q18891156) | Commons category (wdt:P373)    | The Scream - Edvard Munch, 1893 - (Nasjonalmuseet)                                                                                |
| The Scream (wd:Q18891156) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/Edvard%20Munch%20-%20The%20Scream%20-%20NG.M.00939%20-%20National%20Museum%20of%20Art%2C%20Architecture%20and%20Design.jpg> |
| The Scream (wd:Q18891156) | copyright status (wdt:P6216)   | public domain (wd:Q19652)                                                                                |
| The Scream (wd:Q18891156) | location (wdt:P276)            | National Museum of Art, Architecture and Design (wd:Q1132918)                                                                                |
| The Scream (wd:Q18891156) | inception (wdt:P571)           | 1893-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| ...                       | ...                            | ...                                                                                |

[Assistant]
The 1893 painting version of "The Scream" (wd:Q18891156) is located at the "National Museum of Art, Architecture and Design" (wd:Q1132918).

To be thorough, let's check another version, for example, the 1910 painting (wd:Q18891158), to see if it is exhibited in a different museum.

[Tool]
Got 132 rows and 3 columns, showing the first 10 rows below:
| subject                   | property                     | object                                                                                |
| ------------------------- | ---------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
| The Scream (wd:Q18891158) | instance of (wdt:P31)        | painting (wd:Q3305213)                                                                                |
| The Scream (wd:Q18891158) | title (wdt:P1476)            | Skrik (no)                                                                                |
| The Scream (wd:Q18891158) | catalog code (wdt:P528)      | 896                                                                                |
| The Scream (wd:Q18891158) | Commons category (wdt:P373)  | The Scream (MM.M.00514) by Edvard Munch                                                                                |
| The Scream (wd:Q18891158) | image (wdt:P18)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Edvard%20Munch%20-%20The%20Scream%20-%20Google%20Art%20Project.jpg> |
| The Scream (wd:Q18891158) | part of (wdt:P361)           | The Scream (wd:Q471379)                                                                                |
| The Scream (wd:Q18891158) | copyright status (wdt:P6216) | public domain (wd:Q19652)                                                                                |
| The Scream (wd:Q18891158) | location (wdt:P276)          | Munch Museum (wd:Q844926)                                                                                |
| The Scream (wd:Q18891158) | inception (wdt:P571)         | 1893-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| The Scream (wd:Q18891158) | described at URL (wdt:P973)  | <https://www.munchmuseet.no/en/object/MM.M.00514>                                                                       |
| ...                       | ...                          | ...                                                                                |

[Assistant]
The 1910 painting version of "The Scream" (wd:Q18891158) is located at the "Munch Museum" (wd:Q844926).

Therefore, different versions of "The Scream" are exhibited in different museums: the National Museum of Art, Architecture and Design, and the Munch Museum.

Now, I will write a SPARQL query that retrieves all museums (with their IRIs and optional labels) that exhibit any version of "The Scream" by Edvard Munch. I will include all versions that are part of the group wd:Q471379 and look for their location (wdt:P276) or collection (wdt:P195).

Let's construct the query.

[Tool]
Got 1 row and 1 column:
| museum      |
| ----------- |
| _:bn1336333 |

[Tool]
Got 3 rows and 1 column:
| museum                                                        |
| ------------------------------------------------------------- |
| National Museum of Art, Architecture and Design (wd:Q1132918) |
| National Gallery of Norway (wd:Q3330707)                      |
| Munch Museum (wd:Q844926)                                     |

[Tool]
Got 3 rows and 2 columns:
| museum                                                        | museumLabel                                          |
| ------------------------------------------------------------- | ---------------------------------------------------- |
| National Museum of Art, Architecture and Design (wd:Q1132918) | National Museum of Art, Architecture and Design (en) |
| National Gallery of Norway (wd:Q3330707)                      | National Gallery of Norway (en)                      |
| Munch Museum (wd:Q844926)                                     | Munch Museum (en)                                    |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?mayor WHERE {
  wd:Q33935 wdt:P6 ?mayor .
}

The mayor of Tel Aviv is Ron Huldai (wd:Q114760).

[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] Who is the mayor of Tel Aviv?

[Assistant]
Let's break down the question:

1. The user wants to know the current mayor of Tel Aviv.
2. I need to identify the entity for "Tel Aviv" and the property for "mayor".
3. I will search for the entity "Tel Aviv" in Wikidata.
4. Then, I will search for the property "mayor" in Wikidata.
5. Finally, I will construct a SPARQL query to find the current mayor of Tel Aviv.

First, let's search for the entity "Tel Aviv".

[Tool]
Top 10 entity alternatives:
1. Tel Aviv, also known as Tel Aviv City, TLV, Tel Aviv-Jafo, Tel-Aviv Jaffa, Tel Aviv-Jaffa (wd:Q33935): city in Israel
2. Telefon Tel Aviv (wd:Q768658): American band
3. Tel Aviv (wd:Q15755268): journal
4. Tel Aviv (wd:Q6583053): Israeli painter, painter
5. Tel Aviv (wd:Q16131234): song by Omer Adam
6. Tel Aviv (wd:Q91946708): photograph by Liselotte Grschebina 343498
7. Tel Aviv (wd:Q91939097): visual artwork by Liselotte Grschebina 343450
8. Tel Aviv (wd:Q91932450): photograph by Liselotte Grschebina 343501
9. Tel Aviv (wd:Q76626599): photograph by Liselotte Grschebina
10. Tel Aviv (wd:Q103969725): encyclopedia article

[Assistant]
The most relevant entity for "Tel Aviv" as a city in Israel is wd:Q33935.

Next, I need to find the property for "mayor". I will search for the property "mayor" in Wikidata.

[Tool]
Top 10 property alternatives:
1. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
2. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): official with the highest formal authority in a country/state, director / manager, chairperson
3. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): senior official in an educational institution., director / manager, chairperson
4. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): presiding member of an organization, group or body, director / manager, significant person
5. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): person(s) or political organization(s) elected after the election, candidate, winner
6. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): persons who hold and/or held the position
7. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): subject currently or formerly holds the object position or public office
8. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the object is a country that recognizes the subject as its citizen, country
10. elected in, also known as re-elected in, election (wd:P2715 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): election in which a person gained a position (as qualifier), or a position or legislative term is/was elected (as main value)

[Assistant]
The most relevant property for "mayor" is "head of government" (wd:P6), which is used for the head of the executive power of a city, such as a mayor.

Now, I will construct a SPARQL query to find the current head of government (mayor) of Tel Aviv (wd:Q33935). I will also try to get the label of the person for clarity, but the main result will be the IRI.

Let's proceed with the query.

[Tool]
Got 1 row and 2 columns:
| mayor                   | mayorLabel      |
| ----------------------- | --------------- |
| Ron Huldai (wd:Q114760) | Ron Huldai (en) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q128160 wdt:P585 ?date1 .
  wd:Q191721 wdt:P585 ?date2 .
  FILTER ( ?date1 < ?date2 )
}

No, the Cuban Missile Crisis was not earlier than the Bay of Pigs Invasion. The Bay of Pigs Invasion occurred in April 1961, while the Cuban Missile Crisis occurred in 1962.

[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] Was the Cuban Missile Crisis earlier than the Bay of Pigs Invasion?

[Assistant]
Let's break down the question:

1. We need to identify the entities for "Cuban Missile Crisis" and "Bay of Pigs Invasion".
2. We need to find their respective dates.
3. We need to compare the dates to determine if the Cuban Missile Crisis was earlier than the Bay of Pigs Invasion.

First, I'll search for the entities "Cuban Missile Crisis" and "Bay of Pigs Invasion" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Cuban Missile Crisis (wd:Q128160): October 1962 confrontation between the Soviet Union, Cuba and the United States
2. Cuban Missile Crisis (wd:Q64117091): scholarly article
3. Cuban Missile Crisis (wd:Q124064455): 2005 video game
4. Cuban Missile Crisis (wd:Q108371818): video game series
5. Cuban Missile Crisis: The Aftermath (wd:Q1619053): 2005 video game
6. 13 Days: The Cuban Missile Crisis, also known as 13 Days (wd:Q56297685): Movie
7. Roots of the Cuban Missile Crisis (wd:Q7366662): 2001 film
8. Cuban Missile Crisis: The Soviet Story (wd:Q58537372)
9. Anatomy of the Cuban Missile Crisis (wd:Q58521477)
10. Reflections on the Cuban Missile Crisis (wd:Q86291856): 1987 book by Raymond L. Garthoff

[Tool]
Top 10 entity alternatives:
1. Bay of Pigs invasion (wd:Q191721): failed landing operation of Cuba in 1961
2. Bay of Pigs (wd:Q208508): bay on the island of Cuba
3. Bay of Pigs (wd:Q115806181): board wargame published in 1976
4. Bay of Pigs (wd:Q4874219): album by Destroyer
5. Bay of Pigs (wd:Q114489712): episode of The Practice (S4 E9)
6. Bay of Pigs Museum, also known as Brigade 2506 Museum and Library (wd:Q4874221): museum in Florida
7. Bay of Pigs Monument (wd:Q64578297): Monument in Little Havana, Miami, commemorates those lost in the 1961 Bay of Pigs Invasion.
8. Bay of Pigs Redux? (wd:Q129230462): scholarly article
9. Bay of Married Pigs (wd:Q110291915): Sex and the City, Season 1, Episode 3
10. The Bay of Pigs (wd:Q58554035)

[Tool]
Top 10 property alternatives:
1. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): time of the first public presentation of a subject by the creator, of information by the media, point in time
2. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): when a specific holiday or periodic event occurs. Can be used as property or qualifier
3. point in time, also known as at time, as of, year, when, time of event (wd:P585 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): time when an entity begins to exist; for date of official opening use P1619, start time
5. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
6. start time, also known as start date, since, valid, join time, joined (wd:P580 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): time an entity begins to exist or a statement starts being valid, point in time
7. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): date or point in time when a work was first published or released, point in time
8. public domain date, also known as copyright end date, PD date (wd:P3893 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): date the item enters into the public domain in a jurisdiction
9. recording date, also known as recorded date, record date, recdate, rec. date, date of recording (wd:P10135 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the date when a recording was made, inception
10. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): date represented in a work (for narrative works use P2408)

[Tool]
Got 2 rows and 3 columns:
| event                             | eventLabel                | date                                |
| --------------------------------- | ------------------------- | ----------------------------------- |
| Cuban Missile Crisis (wd:Q128160) | Cuban Missile Crisis (en) | 1962-01-01T00:00:00Z (xsd:dateTime) |
| Bay of Pigs invasion (wd:Q191721) | Bay of Pigs invasion (en) | 1961-04-20T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q7934 wdt:P570 ?dateOfDeath
}

No, Frank Herbert is not still alive. He has a date of death recorded 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 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] Is Frank Herbert still alive?

[Assistant]
Let's break down the question:

1. The question is asking whether Frank Herbert is still alive.
2. This requires identifying the entity for Frank Herbert and checking if he has a date of death property or if he is marked as deceased.

Step 1: Search for the entity "Frank Herbert" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Frank Herbert, also known as Jr. Franklin Patrick Herbert, Jr. Franklin Herbert, Frank Patrick Herbert, Jr. Frank Patrick Herbert, Franklin Herbert (wd:Q7934): American writer (1920–1986), science fiction writer, prose writer, photographer, journalist, novelist, writer
2. Frank Herbert, also known as Francis Xavier Herbert (wd:Q5487218): American politician, politician, teacher
3. Herbert Frank (wd:Q102182447): Ph.D. Humboldt-Universität zu Berlin 1967
4. Herbert Frank (wd:Q106400255)
5. Herbert Frank (wd:Q15713780): Austrian jurist, jurist
6. Herbert Frank (wd:Q94836280): opinion journalist, engineer
7. Herbert Frank (wd:Q94855814): journalist, art critic, writer
8. Frank Herbert (wd:Q107740264): biographical book
9. Frank Herbert (wd:Q112366531)
10. Frank Herbert (wd:Q75716987): Peerage person ID=300069

[Assistant]
The top result for "Frank Herbert" is wd:Q7934, who is the American writer (1920–1986), best known for the Dune series. This matches the likely intent of the question.

Next, I need to check if Frank Herbert (wd:Q7934) is still alive. The standard way to do this in Wikidata is to check for the presence of a "date of death" property (usually wdt:P570).

I will construct an ASK query to check if there is a date of death for wd:Q7934. If there is, he is not alive; if not, he may still be alive.

Let me confirm the property for "date of death" before proceeding.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): date on which the subject was born, inception
4. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): date on which the person was buried or cremated soon after death, point in time
5. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): total (cumulative) number of people who died since start as a direct result of an event or cause
6. birthday, also known as b-day, bday, birth day (wd:P3150 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): what the place, monument, memorial, or holiday, commemorates, main subject
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): time when an entity begins to exist; for date of official opening use P1619, start time
10. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Assistant]
The property for "date of death" is wd:P570.

Now, I will construct an ASK query to check if Frank Herbert (wd:Q7934) has a value for wdt:P570 ("date of death"). If the answer is true, he is not alive; if false, he may still be alive.

Here is the query I will use:
ASK WHERE { wd:Q7934 wdt:P570 ?dateOfDeath }

Let's proceed.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q11817 wdt:P607 ?conflict
}

Yes, U.S. president Andrew Jackson was involved in a war.

[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] Was U.S. president Jackson involved in a war?

[Assistant]
Let's break down the question:

1. "U.S. president Jackson" likely refers to Andrew Jackson.
2. We need to check if Andrew Jackson was "involved in a war".
   - "Involved in a war" could mean participation as a military person, commander, or in any official capacity.

Step 1: Find the entity for Andrew Jackson in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Andrew Jackson, also known as Old Hickory, President Andrew Jackson, President Jackson, A. Jackson, General Andrew Jackson (wd:Q11817): president of the United States from 1829 to 1837, military officer, statesperson, politician, lawyer, judge
2. Andrew Jackson, also known as Andrew Jackson (actor) (wd:Q2846642): television actor, Canadian actor, actor
3. Andy Jackson, also known as Andrew Jackson (wd:Q3816215): British recording engineer, audio engineer, musician
4. Andrew Jackson (wd:Q4343568): artwork by Clark Mills
5. Andrew Jackson (wd:Q22076700): Australian special effects artist, special effects artist
6. Andrew Jackson, also known as Andrew Jackson, AL (wd:Q4757447): unincorporated community in Alabama
7. Andrew Jackson (wd:Q4757451): American football player (running back, born 1964), American football player
8. Andrew Jackson (wd:Q16844406): American football player (linebacker, born 1992), American football player
9. Andrew D. Jackson, also known as Andrew Jackson, Andrew D Jackson, A. D. Jackson, A. D Jackson (wd:Q2652615): American physicist, university teacher, nuclear physicist, physicist
10. Andrew Jackson Jr., also known as Andrew Donelson, Andrew Donelson Jackson, Andrew Jackson (wd:Q94643028): adopted son of U.S. President Andrew Jackson

[Assistant]
The most relevant entity for "U.S. president Jackson" is Andrew Jackson (wd:Q11817), who was president of the United States from 1829 to 1837 and also a military officer.

Next, I need to determine if Andrew Jackson was involved in a war. This could be represented in Wikidata by properties such as "participant in" (P1344), "conflict" (P607), or similar.

I'll search for properties related to "war" for Andrew Jackson.

[Tool]
Top 10 property alternatives:
1. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as wdt/p): battles, wars or other military engagements in which the person or item participated, participant in
2. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
4. medical condition, also known as disability, suffers from, suffer from, sickness, paralympic disability (wd:P1050 as wdt/p): any state relevant to the health of an organism, including diseases and positive conditions
5. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
6. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as wdt/p): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
7. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/p): significant or notable events associated with the subject
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
10. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location

No other items found

[Assistant] The property "conflict" (wdt:P607) is directly related to wars or military engagements in which a person participated. I will now check if Andrew Jackson (wd:Q11817) has any values for the "conflict" property, which would indicate involvement in a war.

[Tool]
Got 1 row and 3 columns:
| subject                    | property            | object                  |
| -------------------------- | ------------------- | ----------------------- |
| Andrew Jackson (wd:Q11817) | conflict (wdt:P607) | War of 1812 (wd:Q26013) |

[Tool] True

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {
  ?country wdt:P31 wd:Q6256 ; wdt:P30 wd:Q15 ; wdt:P36 ?capital .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( lang( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?capital rdfs:label ?capitalLabel FILTER ( lang( ?capitalLabel ) = "en" )
  }
}
ORDER BY ?countryLabel

Got 53 rows and 4 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      | capital                | capitalLabel     |
| ---------------------- | ----------------- | ---------------------- | ---------------- |
| Algeria (wd:Q262)      | Algeria (en)      | Algiers (wd:Q3561)     | Algiers (en)     |
| Angola (wd:Q916)       | Angola (en)       | Luanda (wd:Q3897)      | Luanda (en)      |
| Benin (wd:Q962)        | Benin (en)        | Porto-Novo (wd:Q3799)  | Porto-Novo (en)  |
| Botswana (wd:Q963)     | Botswana (en)     | Gaborone (wd:Q3919)    | Gaborone (en)    |
| Burkina Faso (wd:Q965) | Burkina Faso (en) | Ouagadougou (wd:Q3777) | Ouagadougou (en) |
| ...                    | ...               | ...                    | ...              |
| Togo (wd:Q945)         | Togo (en)         | Lomé (wd:Q3792)        | Lomé (en)        |
| Tunisia (wd:Q948)      | Tunisia (en)      | Tunis (wd:Q3572)       | Tunis (en)       |
| Uganda (wd:Q1036)      | Uganda (en)       | Kampala (wd:Q3894)     | Kampala (en)     |
| Zambia (wd:Q953)       | Zambia (en)       | Lusaka (wd:Q3881)      | Lusaka (en)      |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     | Harare (wd:Q3921)      | Harare (en)      |

The capitals of all countries in Africa are provided in the query result. Each row gives the country IRI, its label, the capital IRI, and its label. For example, Algeria (wd:Q262) has its capital at Algiers (wd:Q3561), Angola (wd:Q916) at Luanda (wd:Q3897), and so on for all African countries.

[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] Give me the capitals of all countries in Africa.

[Assistant]
Let's break down the question:

1. We need to identify all countries in Africa.
2. For each country, we need to find its capital.

Step 1: Find the entity for "Africa" and the property for "country" and "capital".

Step 2: Find the property that links a country to its continent (to filter for African countries).

Step 3: Find the property that links a country to its capital.

Let's start by searching for the entity "Africa".

[Tool]
Top 10 entity alternatives:
1. Africa, also known as African continent (wd:Q15): continent
2. Africa, also known as Africa Proconsularis, Africa Province, Africa (Roman province), Africa Vetus, Province of Africa (wd:Q181238): Roman province on the northern African coast covering parts of present-day Tunisia, Algeria, and Libya
3. 1193 Africa, also known as Africa (wd:Q136898): asteroid
4. Africa (wd:Q383842): song written and composed by David Paich and Jeff Porcaro, originally recorded by Toto in 1981 and released in 1982
5. África, also known as Yapeyu (wd:Q55854): town in Corrientes, Argentina
6. Africa (wd:Q383855): Neo-Latin epic poem
7. Africa (wd:Q4689532): 2013 UK documentary series by David Attenborough
8. .africa, also known as dot africa (wd:Q4545422): generic top-level Internet domain
9. Africa, also known as Africa (Voodoo Master) (wd:Q4689531): 1983 song by Rose Laurens
10. Africa (wd:Q383848): titular see in Tunisia

[Assistant]
The correct entity for the continent Africa is wd:Q15.

Next, we need to find the property that links a country to its continent, so we can filter for countries in Africa. Let's search for the property "continent".

[Tool]
Top 10 property alternatives:
1. continent (wd:P30 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): continent of which the subject is a part, located in/on physical feature
2. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
3. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
4. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): part, aspect, or form of the item to which the claim applies
5. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
6. 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
7. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
8. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): place where a statement is valid, applies to part
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the object is a country that recognizes the subject as its citizen, country

[Assistant]
The property "continent" (wd:P30) is used to indicate the continent a country is part of. We can use this to filter for countries in Africa (wd:Q15).

Next, we need to find the property that links a country to its capital. Let's search for the property "capital".

[Tool]
Top 10 property alternatives:
1. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): seat of government of a country, province, state or other type of administrative territorial entity
3. capital cost, also known as budget, cost, unit cost (wd:P2130 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): amount of money spent on building or producing an object
4. authorised capital, also known as authorized capital (wd:P12651 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): maximum amount of share capital that the company is authorised to issue to shareholders
5. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
6. uses capitalization for, also known as capitalises, capitalizes, uses capitalisation for (wd:P6106 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): lexical classes and subclasses of words as well as other uses in the language where the first letter is written as a capital letter
7. market capitalization, also known as market cap, market capitalisation (wd:P2226 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): total value of issued shares by a publicly traded company
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. nominal share capital (wd:P8247 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): total of the nominal values of the issued ordinary and preference shares of the entity

[Assistant]
The property "capital" (wd:P36) is the correct one to use for the seat of government of a country.

Now, we need to ensure we are only selecting countries. Let's check what property or class is used to identify "country" in Wikidata. I'll search for the entity "country".

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256): distinct territorial body or political entity
2. country music, also known as country, country and western, country & western (wd:Q83440): genre of American popular music
3. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
4. Dennis Rodman, also known as Rodzilla, Psycho, The Worm, Worm, Country (wd:Q201608): American basketball player, professional wrestler, basketball player, amateur wrestler, basketball coach, voice actor, film actor, actor
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce
6. .country (wd:Q20571777): top-level domain
7. Country (wd:Q5177190): music album by Anne Murray
8. Country (wd:Q48816259): People in rural areas of the United States
9. Country (wd:Q26779428): Chilean political party founded in 2016
10. country (wd:Q22828881)

[Assistant]
The entity for "country" is wd:Q6256. In Wikidata, countries are typically instances of (P31) "country" (wd:Q6256).

Now, let's put this together:
- Select all entities that are instances of "country" (wd:Q6256)
- Whose continent (wd:P30) is Africa (wd:Q15)
- Get their capital (wd:P36)

I'll write a SPARQL query to retrieve the IRIs of all African countries and their capitals, and optionally their labels.

[Tool]
Got 53 rows and 4 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      | capital                | capitalLabel     |
| ---------------------- | ----------------- | ---------------------- | ---------------- |
| Algeria (wd:Q262)      | Algeria (en)      | Algiers (wd:Q3561)     | Algiers (en)     |
| Angola (wd:Q916)       | Angola (en)       | Luanda (wd:Q3897)      | Luanda (en)      |
| Benin (wd:Q962)        | Benin (en)        | Porto-Novo (wd:Q3799)  | Porto-Novo (en)  |
| Botswana (wd:Q963)     | Botswana (en)     | Gaborone (wd:Q3919)    | Gaborone (en)    |
| Burkina Faso (wd:Q965) | Burkina Faso (en) | Ouagadougou (wd:Q3777) | Ouagadougou (en) |
| ...                    | ...               | ...                    | ...              |
| Togo (wd:Q945)         | Togo (en)         | Lomé (wd:Q3792)        | Lomé (en)        |
| Tunisia (wd:Q948)      | Tunisia (en)      | Tunis (wd:Q3572)       | Tunis (en)       |
| Uganda (wd:Q1036)      | Uganda (en)       | Kampala (wd:Q3894)     | Kampala (en)     |
| Zambia (wd:Q953)       | Zambia (en)       | Lusaka (wd:Q3881)      | Lusaka (en)      |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     | Harare (wd:Q3921)      | Harare (en)      |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?club ?clubLabel WHERE {
  ?club wdt:P31 wd:Q476028 ; wdt:P17 wd:Q29 .
  OPTIONAL {
    ?club rdfs:label ?clubLabel FILTER ( lang( ?clubLabel ) = "en" )
  }
}

Got 1,568 rows and 2 columns, showing the first 5 and last 5 rows below:
| club                                         | clubLabel                         |
| -------------------------------------------- | --------------------------------- |
| Penya Barcelonista Barcilona (wd:Q100307227) | Penya Barcelonista Barcilona (en) |
| Penya Femenina Barcelonista (wd:Q100350679)  | Penya Femenina Barcelonista (en)  |
| CD Polillas Ceuta (wd:Q100400847)            | CD Polillas Ceuta (en)            |
| CD Buñol (wd:Q102276485)                     | CD Buñol (en)                     |
| CD Dénia (wd:Q1023177)                       | CD Dénia (en)                     |
| ...                                          | ...                               |
| Unión Estepona CF (wd:Q977542)               | Unión Estepona CF (en)            |
| UC Cartes (wd:Q98501496)                     | UC Cartes (en)                    |
| RB Linense (wd:Q985272)                      | RB Linense (en)                   |
| SD Torina (wd:Q98934443)                     | SD Torina (en)                    |
| Extremadura UD (wd:Q994224)                  | Extremadura UD (en)               |

There are 1,568 soccer (association football) clubs in Spain in Wikidata. The query returns their IRIs and optionally their English labels.

[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] Give me all soccer clubs in Spain.

[Assistant]
Let's break down the question:

1. We are looking for all soccer clubs (association football clubs) in Spain.
2. We need to identify the entity for "soccer club" and the property for "country" or "location".
3. We need to ensure we use the correct identifiers for "Spain" and "soccer club".

First, I'll search for the entity "soccer club" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. association football club, also known as association soccer club, F.C., FC, football club, soccer club (wd:Q476028): sports club devoted to association football (soccer)
2. Inter Milan, also known as Inter, FCIM, Inter club, Inter fc, Inter football club (wd:Q631): association football club based in Milan, Lombardy, Italy
3. Inter Miami CF, also known as The Herons, Miami Soccer club, Vice City, Miami Football Club, Internacional of Miami (wd:Q16844931): American professional soccer club based in Miami
4. Inter Miami CF, also known as Miami Football Club, Miami FC, Miami Soccer club, Internacional of Miami, Internacional de Miami (wd:Q16844931): American professional soccer club based in Miami
5. CD Leganés, also known as CD Leganes, CD Leganes Football, CD Leganes Soccer, Club Deportivo Leganés, S.A.D., Leganes Football (wd:Q856119): association football club in Leganés, Spain
6. Columbus Crew, also known as the Massive, the Crew, Crew Soccer Club, Columbus Soccer Club, Columbus SC (wd:Q457163): soccer club in Columbus, Ohio, USA
7. Toronto FC, also known as Toronto Soccer Club, Toronto Soccer, Toronto Football Club, Toronto F.C., Soccer Club of Toronto (wd:Q327238): soccer club in Toronto, Ontario, Canada
8. FC Dallas, also known as Toros, Soccer Club of Dallas, Red Stripes, Hoops, Football Club Dallas (wd:Q642291): soccer club in Frisco, Texas, USA
9. Nashville SC, also known as Nashville S.C., Nashville Soccer Club (wd:Q47518754): Major League Soccer franchise in Nashville, Tennessee
10. Tochigi SC, also known as Tochigi Soccer Club (wd:Q1069091): association football club

[Assistant]
The correct entity for "soccer club" is "association football club" (wd:Q476028).

Next, I need to find the property that links a club to its country (Spain). I'll search for properties related to "country" in Wikidata.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): continent of which the subject is a part, located in/on physical feature
8. 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The most appropriate property to link a club to its country is "country" (wdt:P17).

Now, I need to get the entity for "Spain" to use as the object for this property. I'll search for "Spain" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Spain, also known as Kingdom of Spain (wd:Q29): country in southwestern Europe with territories in Africa
2. Spain men's national football team, also known as La Furia, The Spanish Fury, The Red One, The Red Fury, The Fury (wd:Q42267): men's national association football team representing Spain
3. Second Spanish Republic, also known as Spain (wd:Q178038): political regime established in Spain between April 14, 1931 and April 1, 1939
4. New Spain, also known as Colonial Central America, Central America under Spain, Viceroyalty of New Spain, Spanish Mexico, Spanish Central America (wd:Q170603): viceroyalty of the Spanish Empire (1535-1821)
5. Spain under the Restoration, also known as Bourbon Restoration, Spain, Second Bourbon Restoration, Restoration, Restoration (Spain) (wd:Q1044536): name given to a period between 1874 (end of First Spanish Republ...econd Spanish Republic), and the state of Spain during that time
6. Kingdom of Spain (1820-1823), also known as Kingdom of Spain, Spain, Trienio Liberal (wd:Q238809): 1820–1823 Spanish political period
7. Spain under Joseph Bonaparte, also known as Kingdom of Spain, Napoleonic Spain, Spain (wd:Q1709185): Napoleonic client state (1808–1813)
8. Sexenio Democrático, also known as Kingdom of Spain, Spain (wd:Q12411956): 1868–1874 period of fu under a provisional government
9. Ominous Decade, also known as Kingdom of Spain, second restoration of absolutism, Spain (wd:Q2378204): period in the history of Spain, corresponding to the second rest...reign of Fernando VII from August 31, 1823 to September 29, 1833
10. Hispanic Monarchy, also known as Spains, Hispanic Crown, Spain, Kingdom of Spains, Crown of Spain (wd:Q766543): (1479-1716) set of territories distributed throughout the world,...monarch and corresponding to the period of the House of Habsburg

[Assistant]
The correct entity for "Spain" is wd:Q29.

Now, let's summarize:
- We want all entities that are instances of "association football club" (wd:Q476028)
- Whose "country" (wdt:P17) is "Spain" (wd:Q29)

I'll construct a SPARQL query to retrieve all such soccer clubs in Spain, returning their IRIs and optionally their labels.

[Tool]
Got 1,568 rows and 2 columns, showing the first 5 and last 5 rows below:
| club                                         | clubLabel                         |
| -------------------------------------------- | --------------------------------- |
| Penya Barcelonista Barcilona (wd:Q100307227) | Penya Barcelonista Barcilona (en) |
| Penya Femenina Barcelonista (wd:Q100350679)  | Penya Femenina Barcelonista (en)  |
| CD Polillas Ceuta (wd:Q100400847)            | CD Polillas Ceuta (en)            |
| CD Buñol (wd:Q102276485)                     | CD Buñol (en)                     |
| CD Dénia (wd:Q1023177)                       | CD Dénia (en)                     |
| ...                                          | ...                               |
| Unión Estepona CF (wd:Q977542)               | Unión Estepona CF (en)            |
| UC Cartes (wd:Q98501496)                     | UC Cartes (en)                    |
| RB Linense (wd:Q985272)                      | RB Linense (en)                   |
| SD Torina (wd:Q98934443)                     | SD Torina (en)                    |
| Extremadura UD (wd:Q994224)                  | Extremadura UD (en)               |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country ( COUNT( ?language ) AS ?numLanguages ) WHERE {
  ?country wdt:P31 wd:Q6256 .
  ?country wdt:P37 ?language .
}
GROUP BY ?country
HAVING ( COUNT( ?language ) > 2 )

Got 31 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                              | numLanguages |
| ------------------------------------ | ------------ |
| Rwanda (wd:Q1037)                    | 4 (xsd:int)  |
| Senegal (wd:Q1041)                   | 4 (xsd:int)  |
| Seychelles (wd:Q1042)                | 3 (xsd:int)  |
| People's Republic of China (wd:Q148) | 3 (xsd:int)  |
| Norway (wd:Q20)                      | 4 (xsd:int)  |
| ...                                  | ...          |
| Mexico (wd:Q96)                      | 3 (xsd:int)  |
| Burkina Faso (wd:Q965)               | 3 (xsd:int)  |
| Burundi (wd:Q967)                    | 3 (xsd:int)  |
| Comoros (wd:Q970)                    | 3 (xsd:int)  |
| Eritrea (wd:Q986)                    | 3 (xsd:int)  |

Countries with more than two official languages include Rwanda, Senegal, Seychelles, People's Republic of China, Norway, Mexico, Burkina Faso, Burundi, Comoros, Eritrea, and others. The full list can be obtained from the query results.

[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] Which countries have more than two official languages?

[Assistant]
Let's break down the question:

1. We need to find entities that are countries.
2. For each country, we need to determine its official languages.
3. We need to count the number of official languages per country and filter for those with more than two.

First, let's identify the relevant properties:
- "country" entity type.
- "official language" property.

I'll start by searching for the property "official language" in Wikidata.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language widely used (spoken or written) in this place or at this event or organisation
8. 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 psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The most relevant property for "official language" is wd:P37 ("official language").

Next, we need to identify the entity type for "country" in Wikidata. I'll search for the entity "country".

[Tool]
Top 10 entity alternatives:
1. country, also known as countries (wd:Q6256): distinct territorial body or political entity
2. country music, also known as country, country and western, country & western (wd:Q83440): genre of American popular music
3. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
4. Dennis Rodman, also known as Rodzilla, Psycho, The Worm, Worm, Country (wd:Q201608): American basketball player, professional wrestler, basketball player, amateur wrestler, basketball coach, voice actor, film actor, actor
5. Country (wd:Q1754454): 1984 film directed by Richard Pearce
6. .country (wd:Q20571777): top-level domain
7. Country (wd:Q5177190): music album by Anne Murray
8. Country (wd:Q48816259): People in rural areas of the United States
9. Country (wd:Q26779428): Chilean political party founded in 2016
10. country (wd:Q22828881)

[Assistant]
The entity for "country" as a territorial body or political entity is wd:Q6256.

Now, to find countries (wd:Q6256) and their official languages (wdt:P37), and count those with more than two official languages, we need to:
- Select items that are instances of (P31) or subclasses of (P279) "country" (wd:Q6256).
- Get their official languages (wdt:P37).
- Group by country and count the number of official languages.
- Filter for counts greater than 2.

I'll check if "instance of" (P31) is the correct property for linking an entity to "country".

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as psv/wdt/p/pq/psn/pqn/prn/wdtn/prv/pqv/pr/ps): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[Assistant]
"Instance of" (wd:P31) is the correct property to link an entity to "country" (wd:Q6256).

Now, I'll construct a SPARQL query that:
- Selects entities that are instances of "country" (wd:Q6256).
- Gets their official languages (wdt:P37).
- Groups by country and counts the number of official languages.
- Filters for countries with more than two official languages.
- Optionally, retrieves the country label.

Here's the draft query:

```sparql
SELECT ?country (COUNT(?language) AS ?numLanguages)
WHERE {
  ?country wdt:P31 wd:Q6256.
  ?country wdt:P37 ?language.
}
GROUP BY ?country
HAVING (COUNT(?language) > 2)
```

I'll execute this query to check the results.

[Tool]
Got 31 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                              | numLanguages |
| ------------------------------------ | ------------ |
| Rwanda (wd:Q1037)                    | 4 (xsd:int)  |
| Senegal (wd:Q1041)                   | 4 (xsd:int)  |
| Seychelles (wd:Q1042)                | 3 (xsd:int)  |
| People's Republic of China (wd:Q148) | 3 (xsd:int)  |
| Norway (wd:Q20)                      | 4 (xsd:int)  |
| ...                                  | ...          |
| Mexico (wd:Q96)                      | 3 (xsd:int)  |
| Burkina Faso (wd:Q965)               | 3 (xsd:int)  |
| Burundi (wd:Q967)                    | 3 (xsd:int)  |
| Comoros (wd:Q970)                    | 3 (xsd:int)  |
| Eritrea (wd:Q986)                    | 3 (xsd:int)  |

[Tool] Stopped generation process