PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?type WHERE {
  VALUES ?property {
    wdt:P136 wdt:P135
  }
  wd:Q762 ?property ?type .
}

Got 5 rows and 1 column:
| ?type                            |
| -------------------------------- |
| High Renaissance (wd:Q1474884)   |
| Renaissance (wd:Q4692)           |
| portrait (wd:Q134307)            |
| religious painting (wd:Q2414609) |
| religious art (wd:Q2864737)      |

Leonardo da Vinci made art in the genres of portrait, religious painting, and religious art, and was associated with the artistic movements of the Renaissance and High Renaissance.

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

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

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

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

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

[User] what type of art did leonardo da vinci make?

[Assistant]
Let's break down the question:

1. The user is asking about the "type of art" created by "Leonardo da Vinci".
2. I need to identify the entity for Leonardo da Vinci and find properties related to the type or genre of art he made.

First, I'll search for the entity "Leonardo da Vinci" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Leonardo da Vinci (wd:Q762): Italian Renaissance polymath (1452−1519), architectural draftsperson, civil engineer, visual artist, mathematician, caricaturist, physiologist, philosopher, astronomer, architect, scientist, zoologist, anatomist, physicist, polymath, botanist, engineer, designer, composer, sculptor, inventor, diplomat, chemist, painter, writer
2. Leonardo da Vinci (wd:Q2530641): 1911 Conte di Cavour-class battleship
3. Leonardo da Vinci (wd:Q650366): 1939 Marconi-class submarine
4. Leonardo da Vinci: The Mind of the Renaissance, also known as Leonardo da Vinci (wd:Q101431569): 2001 documentary film by Jean-Claude Lubtchansky
5. Leonardo da Vinci (wd:Q18503359): human settlement
6. Leonardo da Vinci (wd:Q18498247): human settlement in Italy
7. Leonardo Da Vinci (wd:Q2115987): 1982 Sauro-class submarine
8. Rosa 'Leonardo da Vinci', also known as Leonardo da Vinci (wd:Q1819112): rose cultivar
9. RFA Maine, also known as Leonardo da Vinci (wd:Q3830354): steam ship
10. Leonardo da Vinci (wd:Q13749278): Dortmund –Milan passenger train

[Assistant]
The most relevant entity for Leonardo da Vinci the artist is wd:Q762.

Next, I need to find properties related to the "type of art" he made. This could include genre, field of work, or artistic movement. I'll search for properties of wd:Q762 related to "art" or "type of art".

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
2. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p): educational institution attended by subject, affiliation
5. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as p/wdt): collection that has works of this person or organisation (use archives at [P485] for archives)
6. catalogue raisonné, also known as reasoned catalogue, artist catalogue, artist catalog, Art Catalog (wd:P9969 as p/wdt): comprehensive, annotated listing of all the known artworks by an artist either in a particular medium or all media., catalog
7. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as p/wdt): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
8. Artsy artist ID, also known as Artsy artist identifier, Artsy id (wd:P2042 as p/wdt): identifier at the Artsy website
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. Web Gallery of Art artist ID, also known as WGA artist id, WGA ID, Web Gallery of Art identifier, Web Gallery of Art ID (wd:P1882 as p/wdt): identifier for an artist in the Web Gallery of Art

No other items found

[Assistant]
The most relevant properties for "type of art" are likely:

- genre (wd:P136): creative work's genre or an artist's field of work
- movement (wd:P135): literary, artistic, scientific or philosophical movement associated with this person or work

I will query both properties for Leonardo da Vinci (wd:Q762) to see what types of art or movements are associated with him.

[Tool]
Got 5 rows and 3 columns:
| ?type                            | ?typeLabel         | ?property           |
| -------------------------------- | ------------------ | ------------------- |
| portrait (wd:Q134307)            | portrait           | genre (wdt:P136)    |
| High Renaissance (wd:Q1474884)   | High Renaissance   | movement (wdt:P135) |
| religious painting (wd:Q2414609) | religious painting | genre (wdt:P136)    |
| religious art (wd:Q2864737)      | religious art      | genre (wdt:P136)    |
| Renaissance (wd:Q4692)           | Renaissance        | movement (wdt:P135) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?currency ?currencyLabel WHERE {
  wd:Q399 wdt:P38 ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel .
    FILTER ( lang( ?currencyLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?currency                  | ?currencyLabel |
| -------------------------- | -------------- |
| Armenian dram (wd:Q130498) | Armenian dram  |

The currency of Armenia is the Armenian dram (wd:Q130498).

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

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

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

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

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

[User] what is armenian currency?

[Assistant]
Let's break down the question:

1. The user is asking for the currency of Armenia.
2. I need to identify the entity for Armenia and the property for currency.

First, I will search for the entity "Armenia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Armenia, also known as AM, ARM, Hayastan, Hayastani Hanrapetut’yun, Republic of Armenia (wd:Q399): sovereign state in the South Caucasus region of Eurasia
2. Armenia (wd:Q328518): capital of the Colombian department of Quindío
3. First Republic of Armenia, also known as Armenia (wd:Q139670): Armenian state existing from 1918–1920
4. 780 Armenia, also known as (780) Armenia, Armenia (wd:Q157057): main-belt asteroid
5. Roman Armenia, also known as Armenia (wd:Q1254480): Roman province
6. Armenia, also known as Armenia, Antioquia (wd:Q934767): Colombian municipality of the department of Antioquia
7. Armenia (wd:Q682015): district in Eastern Sonsonate, El Salvador
8. Armenia, also known as Armenia, WI (wd:Q2219381): town in Wisconsin, United States
9. Armenia, also known as Armenia (historical region) (wd:Q4069598): historical territory
10. Armênia, also known as Armenia, Ponte Pequena (wd:Q5244779): metro station in São Paulo, Brazil

[Assistant]
The correct entity for the country Armenia is wd:Q399.

Next, I need to find the property for "currency" to get Armenia's currency. I will search for the property "currency" in Wikidata.

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): currency used by item, uses
2. ISO 4217 code, also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code (wd:P498 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a currency per ISO 4217
3. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): published price listed or paid for a product (use with unit of currency)
4. prize money, also known as money, purse, value (wd:P2121 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): amount in a specific currency
5. cash (wd:P2232 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the value of cash and securities held by a state government
6. currency symbol description (wd:P489 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item with description of currency symbol, notation
7. face value, also known as coin value, numeric value of coin, value of coin (wd:P3934 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): value printed on a coin, stamp or banknote by the issuing authority
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)
10. numeric value, also known as numerical value, value (wd:P1181 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): numerical value of a number, a mathematical constant, or a physical constant

[Assistant]
The property for "currency" is wd:P38.

Now, I will construct a SPARQL query to find the currency (wdt:P38) of Armenia (wd:Q399). I will also try to get the label of the currency for better readability, but the main result will be the IRI.

Here is the query I will use:
```sparql
SELECT ?currency ?currencyLabel WHERE {
  wd:Q399 wdt:P38 ?currency .
  OPTIONAL { ?currency rdfs:label ?currencyLabel . FILTER (lang(?currencyLabel) = "en") }
}
```
I will execute this query to get the answer.

[Tool]
Got 1 row and 2 columns:
| ?currency                  | ?currencyLabel |
| -------------------------- | -------------- |
| Armenian dram (wd:Q130498) | Armenian dram  |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?language WHERE {
  wd:Q225 wdt:P37 ?language .
}

Got 3 rows and 1 column:
| ?language           |
| ------------------- |
| Croatian (wd:Q6654) |
| Serbian (wd:Q9299)  |
| Bosnian (wd:Q9303)  |

The official languages spoken by people from Bosnia and Herzegovina are Bosnian (wd:Q9303), Croatian (wd:Q6654), and Serbian (wd:Q9299).

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

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

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

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

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

[User] what language do people from bosnia speak?

[Assistant]
Let's break down the question:

1. The user wants to know the language spoken by people from Bosnia.
2. We need to identify the entity for "Bosnia" (likely Bosnia and Herzegovina) and find the property that links a country to its official or spoken language(s).

Step 1: Search for the entity "Bosnia" in Wikidata to confirm the correct entity.

[Tool]
Top 10 entity alternatives:
1. Bosnia and Herzegovina, also known as Bosnia-Herzegovina, Bosnia & Herzegovina, Bosnia and Hercegovina, Bosnia, BIH (wd:Q225): country in Southeast Europe
2. Bosnia (wd:Q188736): region in Bosnia and Herzegovina
3. Bosnia (wd:Q4947317): live album by Grand Funk Railroad
4. Bosna, also known as Bosnia (song), Bosnia (wd:Q25502969): Croatian song
5. Bosnia (wd:Q10433448): 1996 live album by Ulf Lundell
6. Bosnia (wd:Q29021052): song by Argentine musician Luis Alberto Spinetta in the álbum Spinetta y los Socios del Desierto
7. Bosnia (wd:Q103894070): encyclopedia article
8. Bosnia (wd:Q119441173): painting by James Potter (active 1998–2000), Royal Military Police Museum
9. Bosnia (wd:Q74241437): scientific article published on January 10, 1998
10. Bosnia (wd:Q80218280): photograph by Ron Haviv

[Assistant]
The most relevant entity for "Bosnia" in the context of people and language is "Bosnia and Herzegovina" (wd:Q225), which is the country.

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

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. name in native language, also known as native name (wd:P1559 as p/wdt): name of a person in their native language, name
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant]
The most relevant property for finding the language spoken in Bosnia and Herzegovina is "official language" (wdt:P37). There is also "language used" (wdt:P2936), but "official language" is more standard for countries.

Next, I will write a SPARQL query to find the official language(s) of Bosnia and Herzegovina (wd:Q225) using wdt:P37, and also optionally retrieve their labels.

[Tool]
Got 3 rows and 2 columns:
| ?language           | ?languageLabel |
| ------------------- | -------------- |
| Croatian (wd:Q6654) | Croatian       |
| Serbian (wd:Q9299)  | Serbian        |
| Bosnian (wd:Q9303)  | Bosnian        |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?label ?altLabel ?nativeLabel WHERE {
  OPTIONAL {
    wd:Q9299 rdfs:label ?label .
    FILTER ( LANG( ?label ) = "en" || LANG( ?label ) = "sr" )
  }
  OPTIONAL {
    wd:Q9299 skos:altLabel ?altLabel .
    FILTER ( LANG( ?altLabel ) = "en" || LANG( ?altLabel ) = "sr" )
  }
  OPTIONAL {
    wd:Q9299 wdt:P1705 ?nativeLabel
  }
}

Got 40 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?label            | ?altLabel        | ?nativeLabel      |
| ----------------- | ---------------- | ----------------- |
| Serbian           | Serbian language | "srpski jezik"@sr |
| Serbian           | Serbian language | "српски"@sr       |
| Serbian           | Serbian language | "српски"@sr      |
| Serbian           | Serbian language | "српски језик"@sr |
| "српски језик"@sr | Serbian language | "srpski jezik"@sr |
| ...               | ...              | ...               |
| Serbian           | "српски"@sr      | "српски језик"@sr |
| "српски језик"@sr | "српски"@sr      | "srpski jezik"@sr |
| "српски језик"@sr | "српски"@sr      | "српски"@sr       |
| "српски језик"@sr | "српски"@sr      | "српски"@sr      |
| "српски језик"@sr | "српски"@sr      | "српски језик"@sr |

The Serbian language is called "Serbian" in English, and "српски језик" (srpski jezik) or "српски" (srpski) in Serbian. Alternative names include "Serbian language" and the abbreviation "sr".

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

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

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

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

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

[User] what is serbian language called?

[Assistant]
To answer this question, I need to identify the entity for the Serbian language in Wikidata and then retrieve its label or alternative names.

Step 1: Search for the entity "Serbian language" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Serbian, also known as Srpski, Serbian language (wd:Q9299): standardized variety of Serbo-Croatian language used by Serbs
2. Sorbian, also known as Serbian language, Wendic language, Wendish (wd:Q25442): Lechitic language spoken by the Sorbs
3. Serbian language (wd:L616516-S1)
4. Serbian (language) (wd:L613158-S1)
5. History of Serbian, also known as Serbian language history (wd:Q31183797)
6. Serbian Sign Language (wd:Q113203025)
7. Serbian language in Croatia, also known as use of the Serbian language in Croatia (wd:Q20974148): overview about the use of the Serbian language in Croatia
8. Institute for Serbian Language (wd:Q16082649)
9. Serbian language in Montenegro (wd:Q65201055)
10. romanization of Serbian, also known as romanisation of Serbian, romanization of the Serbian language (wd:Q7362708): overview about the romanization of the Serbian language

[Assistant]
The main entity for the Serbian language is wd:Q9299. Now, I will write a SPARQL query to retrieve its label and alternative names (such as native name or aliases).

I will look for properties like rdfs:label (for the main label), skos:altLabel (for alternative names), and possibly native label properties.

Let's proceed to construct and execute the query.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
It seems the query timed out, possibly due to the UNION and FILTER combination. I'll simplify the query by first retrieving just the English and Serbian labels for the Serbian language entity, and then expand if needed.

Let's start by getting the rdfs:label values for wd:Q9299.

[Tool]
Got 177 rows and 3 columns, showing the first 10 rows below:
| subject            | property   | object               |
| ------------------ | ---------- | -------------------- |
| Serbian (wd:Q9299) | rdfs:label | "Afaan Sarbiyaa"@om  |
| Serbian (wd:Q9299) | rdfs:label | "Amanung Serbyu"@pam |
| Serbian (wd:Q9299) | rdfs:label | "an tSeirbis"@ga     |
| Serbian (wd:Q9299) | rdfs:label | "Bahasa Serbia"@kge  |
| Serbian (wd:Q9299) | rdfs:label | "Bahasa Serbia"@ms   |
| Serbian (wd:Q9299) | rdfs:label | "Basa Serbia"@jv     |
| Serbian (wd:Q9299) | rdfs:label | "Èdè Sérbíà"@yo      |
| Serbian (wd:Q9299) | rdfs:label | "fiteny serba"@mg    |
| Serbian (wd:Q9299) | rdfs:label | "Gagana Serbia"@sm   |
| Serbian (wd:Q9299) | rdfs:label | "Idioma serbio"@an   |
| ...                | ...        | ...                  |

[Tool]
Got 177 rows and 3 columns, showing the first 10 rows below:
| subject            | property   | object               |
| ------------------ | ---------- | -------------------- |
| Serbian (wd:Q9299) | rdfs:label | "Afaan Sarbiyaa"@om  |
| Serbian (wd:Q9299) | rdfs:label | "Amanung Serbyu"@pam |
| Serbian (wd:Q9299) | rdfs:label | "an tSeirbis"@ga     |
| Serbian (wd:Q9299) | rdfs:label | "Bahasa Serbia"@kge  |
| Serbian (wd:Q9299) | rdfs:label | "Bahasa Serbia"@ms   |
| Serbian (wd:Q9299) | rdfs:label | "Basa Serbia"@jv     |
| Serbian (wd:Q9299) | rdfs:label | "Èdè Sérbíà"@yo      |
| Serbian (wd:Q9299) | rdfs:label | "fiteny serba"@mg    |
| Serbian (wd:Q9299) | rdfs:label | "Gagana Serbia"@sm   |
| Serbian (wd:Q9299) | rdfs:label | "Idioma serbio"@an   |
| ...                | ...        | ...                  |

[Tool]
Got 2 rows and 1 column:
| ?label            |
| ----------------- |
| Serbian           |
| "српски језик"@sr |

[Tool]
Got 229 rows and 3 columns, showing the first 10 rows below:
| subject            | property      | object                     |
| ------------------ | ------------- | -------------------------- |
| Serbian (wd:Q9299) | skos:altLabel | "Amanung Serbiu"@pam       |
| Serbian (wd:Q9299) | skos:altLabel | "bahasa Serbia"@id         |
| Serbian (wd:Q9299) | skos:altLabel | "Gjuha serbe"@sq           |
| Serbian (wd:Q9299) | skos:altLabel | "idioma serbio"@es         |
| Serbian (wd:Q9299) | skos:altLabel | "jezik srpskoga naroda"@hr |
| Serbian (wd:Q9299) | skos:altLabel | "južnoserbsce"@hsb         |
| Serbian (wd:Q9299) | skos:altLabel | "južnoserbska rěč"@hsb     |
| Serbian (wd:Q9299) | skos:altLabel | "langue serbe"@fr          |
| Serbian (wd:Q9299) | skos:altLabel | "lengua serbia"@es         |
| Serbian (wd:Q9299) | skos:altLabel | "lingua serba"@it          |
| ...                | ...           | ...                        |

[Tool]
Got 5 rows and 1 column:
| ?altLabel        |
| ---------------- |
| Serbian language |
| sr               |
| "sr"@sr          |
| "срп."@sr        |
| "српски"@sr      |

[Tool]
Got 1,082 rows and 3 columns, showing the first 10 rows below:
| subject            | property                          | object                                 |
| ------------------ | --------------------------------- | -------------------------------------- |
| Serbian (wd:Q9299) | instance of (wdt:P31)             | language (wd:Q34770)                   |
| Serbian (wd:Q9299) | country (wdt:P17)                 | Croatia (wd:Q224)                      |
| Serbian (wd:Q9299) | Commons category (wdt:P373)       | Serbian language                       |
| Serbian (wd:Q9299) | subclass of (wdt:P279)            | Eastern Herzegovinian (wd:Q3487593)    |
| Serbian (wd:Q9299) | short name (wdt:P1813)            | "сербаг"@os                            |
| Serbian (wd:Q9299) | native label (wdt:P1705)          | "srpski jezik"@sr                      |
| Serbian (wd:Q9299) | writing system (wdt:P282)         | Serbian Cyrillic alphabet (wd:Q829464) |
| Serbian (wd:Q9299) | topic's main category (wdt:P910)  | wd:Q8731431                            |
| Serbian (wd:Q9299) | said to be the same as (wdt:P460) | Serbo-Croatian (wd:Q9301)              |
| Serbian (wd:Q9299) | indigenous to (wdt:P2341)         | Serbia (wd:Q403)                       |
| ...                | ...                               | ...                                    |

[Tool]
Got 4 rows and 3 columns:
| subject            | property                 | object            |
| ------------------ | ------------------------ | ----------------- |
| Serbian (wd:Q9299) | native label (wdt:P1705) | "srpski jezik"@sr |
| Serbian (wd:Q9299) | native label (wdt:P1705) | "српски"@sr       |
| Serbian (wd:Q9299) | native label (wdt:P1705) | "српски"@sr      |
| Serbian (wd:Q9299) | native label (wdt:P1705) | "српски језик"@sr |

[Tool]
Got 4 rows and 1 column:
| ?nativeLabel      |
| ----------------- |
| "srpski jezik"@sr |
| "српски"@sr       |
| "српски"@sr      |
| "српски језик"@sr |

[Tool]
Got 40 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?label            | ?altLabel        | ?nativeLabel      |
| ----------------- | ---------------- | ----------------- |
| Serbian           | Serbian language | "srpski jezik"@sr |
| Serbian           | Serbian language | "српски"@sr       |
| Serbian           | Serbian language | "српски"@sr      |
| Serbian           | Serbian language | "српски језик"@sr |
| "српски језик"@sr | Serbian language | "srpski jezik"@sr |
| ...               | ...              | ...               |
| Serbian           | "српски"@sr      | "српски језик"@sr |
| "српски језик"@sr | "српски"@sr      | "srpski jezik"@sr |
| "српски језик"@sr | "српски"@sr      | "српски"@sr       |
| "српски језик"@sr | "српски"@sr      | "српски"@sr      |
| "српски језик"@sr | "српски"@sr      | "српски језик"@sr |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?instrument WHERE {
  wd:Q191499 wdt:P1303 ?instrument .
}

Scott Joplin played the cornet (wd:Q202027), piano (wd:Q5994), guitar (wd:Q6607), and violin (wd:Q8355).

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

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

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

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

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

[User] what did scott joplin play?

[Assistant]
Let's break down the question:

1. The user is asking about "Scott Joplin" and what he played. This likely refers to the musical instrument(s) he played.
2. First, I need to identify the entity for Scott Joplin in Wikidata.
3. Then, I need to find the relevant property for "instrument played" or similar.
4. Finally, I will construct a SPARQL query to retrieve the instruments Scott Joplin played.

Let's start by searching for the entity "Scott Joplin".

[Tool]
Top 10 entity alternatives:
1. Scott Joplin, also known as The king of Ragtime (wd:Q191499): American composer, musician, and pianist, jazz musician, banjoist, composer, pianist
2. Scott Joplin (wd:Q12127336): 1977 film by Jeremy Kagan
3. Scott Joplin (wd:Q28730081): painting by Ellen Banks
4. Scott Joplinlaan (wd:Q19513256): street in Eindhoven, the Netherlands
5. Scott Joplinrode (wd:Q19513257): street in Zoetermeer, the Netherlands
6. Scott Joplin: Piano Rags (wd:Q7436590): album by Joshua Rifkin
7. Scott Joplin's foot (wd:Q30538526): scientific article published on July 1, 1998
8. Scott Joplin: Questions Remain (wd:Q113214829): scientific article published on 18 April 2006
9. Scott Joplin: Complete Piano Works, also known as The Collected Works of Scott Joplin (wd:Q28156183): book by Scott Joplin
10. Scott Joplin’s New Rag (wd:Q29003610): ragtime composition for piano by Scott Joplin

[Assistant]
The most relevant entity for Scott Joplin, the composer and musician, is wd:Q191499.

Next, I need to find the property in Wikidata that represents "instrument played" or similar, to see what instruments Scott Joplin played. I will search for properties related to "instrument".

[Tool]
Top 10 property alternatives:
1. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): musical instrument that a person plays or teaches or used in a music occupation, uses
2. instrumentation, also known as scoring, scored for, orchestration, instruments employed, orchestrated for (wd:P870 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): combination of musical instruments employed in a composition or accompanying a (folk) dance
3. uses, also known as uses trope, used, using, wielded, wields (wd:P2283 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520])
4. orchestration, also known as scoring, score notation, orchestration notation, orchestration in notated form, notated scoring (wd:P11862 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): an enumeration of the instruments used in a musical composition or arrangement described using any system of score notation
5. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
6. music transcriber, also known as transcriber of music, notation writer, music notation writer, musical transcriber, musical notation writer (wd:P9260 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person who transcribed a musical work into musical notation; for composers of music, use P86, creator
7. issuing agent of work, also known as work issued by, organ of, official publication of, official organ of, official journal of (wd:P9901 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): organization, agency, or other entity responsible for issuing a ...f the entity; distinct from commercial publisher of the resource
8. produced sound, also known as call, makes call, makes sound, sound, sound emitted (wd:P4733 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item for the sound generated by the subject, for instance the cry of an animal
9. MusicBrainz instrument ID, also known as MBinst, MBID instrument, instrument MBID (wd:P1330 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for an instrument on the music encyclopedia MusicBrainz
10. has melody, also known as uses tune, to the tune of, uses melody, TTTO, has tune (wd:P1625 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): this work has the melody of the following work, references work, tradition or theory

[Assistant]
The most relevant property for "instrument played" is "instrument" (wd:P1303).

Now, I will construct a SPARQL query to find which instruments Scott Joplin (wd:Q191499) played, using the property "instrument" (wdt:P1303). I will also try to include the labels of the instruments for clarity, but the main result will be the IRIs.

Here is the query I will use:
```sparql
SELECT ?instrument ?instrumentLabel WHERE {
  wd:Q191499 wdt:P1303 ?instrument .
  OPTIONAL { ?instrument rdfs:label ?instrumentLabel . FILTER (lang(?instrumentLabel) = "en") }
}
```
I will execute this query to get the answer.

[Tool]
Got 4 rows and 2 columns:
| ?instrument         | ?instrumentLabel |
| ------------------- | ---------------- |
| cornet (wd:Q202027) | cornet           |
| piano (wd:Q5994)    | piano            |
| guitar (wd:Q6607)   | guitar           |
| violin (wd:Q8355)   | violin           |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?occupation WHERE {
  wd:Q81960 wdt:P106 ?occupation
}

Robert Burns had the following jobs (occupations): farmer (wd:Q131512), musicologist (wd:Q14915627), writer (wd:Q36180), poet (wd:Q49757), and songwriter (wd:Q753110).

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

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

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

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

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

[User] what jobs did robert burns have?

[Assistant]
Let's break down the question:

1. The entity is "Robert Burns," the famous Scottish poet.
2. The property we need is "occupation" or "job."

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

[Tool]
Top 10 entity alternatives:
1. Robert Burns, also known as Robbie Burns, Robden of Solway Firth, Scotland's favorite son, The Bard, Rabbie Burns (wd:Q81960): Scottish poet and lyricist (1759–1796), musicologist, songwriter, farmer, writer, poet
2. Robert Hunter, also known as Robert C. Christie Hunter, Robert Burns (wd:Q1375663): American lyricist, musician, singer-songwriter, translator, and poet, songwriter, translator, guitarist, lyricist, musician, writer, singer, poet
3. Bob Burns, also known as Robin Burn, Robin William Burn, Robert Burns, Robbie Burn (wd:Q887831): American musical comedian (1890–1956), radio personality, businessperson, film actor, comedian, musician
4. Robert Burns, also known as Robert Clayton Burns (wd:Q7342516): British artist (1869-1941), visual artist, art educator, designer, painter
5. Robert Burns (wd:Q27824730): Australian cyclist, sport cyclist
6. Robert Burns (wd:Q2156654): American politician (1792-1866), politician
7. Robert Burns, also known as William Robert Burns (wd:Q15997904): American attorney and politician in Oklahoma (1874-1950), politician, lawyer
8. Robert Burns (wd:Q3434685): Canadian politician (1936–2014), trade unionist, politician, lawyer, judge
9. Bob Burns III, also known as Bob Burns, Robert Burns, Kogar (wd:Q4931984): American film historian and actor, property designer, film historian, film actor
10. Robert H. Burns, also known as Robert Burns (wd:Q16066723): American politician in Wisconsin (1870-19__), politician

[Assistant]
The most relevant entity is "Robert Burns" (wd:Q81960), the Scottish poet.

Next, I will search for the property related to "job" or "occupation" to find the correct property to use.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The property "occupation" (wd:P106) is the most relevant for "job."

Now, I will construct a SPARQL query to find all occupations (jobs) of Robert Burns (wd:Q81960), and also try to get their labels for better readability.

[Tool]
Got 5 rows and 2 columns:
| ?occupation                 | ?occupationLabel |
| --------------------------- | ---------------- |
| farmer (wd:Q131512)         | farmer           |
| musicologist (wd:Q14915627) | musicologist     |
| writer (wd:Q36180)          | writer           |
| poet (wd:Q49757)            | poet             |
| songwriter (wd:Q753110)     | songwriter       |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?zipcode WHERE {
  wd:Q5083 wdt:P281 ?zipcode
}

The zip code for Seattle, Washington is 98101. Note that Seattle has multiple zip codes, but 98101 is one of the central ones listed in Wikidata.

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

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

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

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

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

[User] what the zip code for seattle washington?

[Assistant]
Let's break down the question:

1. The user is asking for the zip code of Seattle, Washington.
2. In Wikidata, Seattle is an entity, and "zip code" is a property (likely "postal code" in Wikidata terminology).
3. I need to find the entity for Seattle and the property for postal code.

First, I'll search for the entity "Seattle".

[Tool]
Top 10 entity alternatives:
1. Seattle, also known as Seattle, WA, Seattle, Washington, Duwamps, New York Alki (wd:Q5083): city in and county seat of King County, State of Washington, United States
2. Chief Seattle, also known as See-ahth, Noah, Sealth, Seathl, Seattle (wd:Q216477): traditional leader or chief, Duwamish chief
3. Star City, also known as Seattle, Starling City (wd:Q1419655): fictional city in DC comics
4. Seattle (wd:Q7442047): song composed in the late 1960s
5. Seattle (wd:Q7442046): album by Perry Como
6. Seattle (wd:Q17462536): arcade system board
7. Dahlia 'Seattle', also known as Seattle (wd:Q21160665): Dahlia cultivar
8. Seattle (wd:Q16164200): single
9. SEATTLE (wd:Q130951105): scientific article published on 03 March 2011
10. SEATTLE (wd:Q127035753): hymn tune

[Assistant]
The most relevant entity for Seattle, Washington is wd:Q5083 (Seattle, city in and county seat of King County, State of Washington, United States).

Next, I need to find the property for "zip code" or "postal code" in Wikidata. I'll search for the property "postal code".

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier assigned by postal authorities for the subject area or building
2. street address, also known as postal address, physical address, mailing address, located at street address, full address (wd:P6375 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): full street address where subject is located. Include building n...t country; use also P669 if the street has its own separate item
3. location code (wd:P13262 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), catalog code
4. post town, also known as postal city, postal town (wd:P4595 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): town/city part of the postal address, can be different from administrative location
5. country calling code, also known as calling code, country code, country dialing code, dialing code, phone code (wd:P474 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a country - dialed on phone after the international dialing prefix (precede value by +)
6. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier dedicated to subject city by the area communication network
7. house number, also known as housenumber, street number, house number, address number (wd:P670 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): number in the street address. To be used as a qualifier of Property:P669 "located on street", series ordinal
8. located on street, also known as on street, street address, street, square, road (wd:P669 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): street, road, or square, where the item is located. To add the n...perty P6375 "street address", if there is no item for the street, location, part of
9. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the place where the person is or has been, resident, location
10. post office box, also known as PO Box, Post Office Box, P.O. Box, P. O. Box, P O Box (wd:P2918 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): post office box number, as part of an address

[Assistant]
The most relevant property for "zip code" is "postal code" (wd:P281).

Now, I will construct a SPARQL query to find the postal code(s) (zip code(s)) for Seattle (wd:Q5083) using the property wd:P281.

[Tool]
Got 1 row and 1 column:
| ?zipcode |
| -------- |
| 98101    |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?boyfriend WHERE {
  wd:Q575689 wdt:P451 ?boyfriend .
}

Kourtney Kardashian's boyfriends (according to Wikidata) are Younes Bendjima (wd:Q55200042) and Scott Disick (wd:Q7883337).

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

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

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

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

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

[User] what kourtney kardashian boyfriends name?

[Assistant]
Let's break down the question:

1. The user is asking for the names of Kourtney Kardashian's boyfriends.
2. First, I need to identify the Wikidata entity for Kourtney Kardashian.
3. Next, I need to find the relevant property for "boyfriend" or "partner" in Wikidata.
4. Then, I will construct a SPARQL query to retrieve the names (and IRIs) of her boyfriends.

Let's start by searching for the entity "Kourtney Kardashian".

[Tool]
Top 10 entity alternatives:
1. Kourtney Kardashian, also known as Kourtney Kardashian Barker, Kourtney Mary Kardashian, Kourtney (wd:Q575689): American media personality, model and businesswoman (born 1979), media personality, fashion designer, television actor, businessperson, entrepreneur, socialite, celebrity, actor, model
2. Kardashian (wd:Q56538884): family name
3. Kourtney (wd:Q101065644): unisex given name
4. Kanye West, also known as Ye, Kanye Omari West, Yeezy, Kanye Kardashian, Kanye (wd:Q15935): American rapper, record producer, singer and fashion designer (born 1977), fashion designer, record producer, businessperson, entrepreneur, songwriter, director, singer, rapper
5. Kim Kardashian, also known as Kim Kardashian West, Kim K, Kim K., Kimberly Noel Kardashian-West, Kim Kardashian-West (wd:Q186304): American media personality, businesswoman, model and actress (born 1980), erotic photography model, television producer, fashion designer, entrepreneur, voice actor, celebrity, socialite, blogger, actor, model
6. Khloé Kardashian, also known as Khloé Kardashian Odom, Khloé Kardashian-Odom, Khloe Kardashian Odom, Khloe Kardashian, Khloe Odom (wd:Q231270): American media personality,influencer, businesswoman (born 1984), radio personality, television actor, fashion designer, film producer, manufacturer, entrepreneur, film actor, socialite, celebrity, novelist, writer, actor, model
7. Kris Jenner, also known as Kristen Mary Jenner, Kristen Jenner, Kristen Mary Houghton, Kristen Mary "Kris" Jenner, Chris Jenner (wd:Q1138235): American media personality, socialite, and businesswoman, television presenter, television producer, flight attendant, celebrity, socialite, author, actor
8. Robert Kardashian, also known as Robert George Kardashian, Rob Kardashian, Robert G. Kardashian (wd:Q1816737): American attorney and businessman (1944–2003), entrepreneur, jurist, lawyer
9. Rob Kardashian, also known as Robert Arthur Kardashian (wd:Q26318): American television personality and businessman, television actor, businessperson, socialite, model
10. Kardashian-Jenner family, also known as Kardashian family, Kardashians (wd:Q95747857): American family prominent in entertainment, business, and fashion

[Assistant]
The correct entity for Kourtney Kardashian is wd:Q575689.

Next, I need to find the property in Wikidata that represents "boyfriend" or "partner". I'll search for properties related to "boyfriend" and "partner".

[Tool]
Top 10 property alternatives:
1. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
2. Gazetteer for Scotland person ID, also known as GfS person (wd:P7349 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier of a Scottish personality on www.scottish-places.info
3. number of points/goals/set scored, also known as goals scored, score for, points scored, number of points, number of goals (wd:P1351 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): goals / points scored in a match or an event used as qualifier to the participant. Use P1358 for league points.
4. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item with which the item is physically connected, physically interacts with
5. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
6. kinship to subject, also known as type of relationship, type of kinship, relation to, relationship (kinship), nature of kinship (wd:P1039 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): qualifier of "relative" (P1038) to indicate less usual family re...; indicate how the qualificator item is related to the main item, object of statement has role
7. Historic Environment Scotland ID, also known as HB number, HES ID, HESID, HES number, HS ID (wd:P709 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): identifier for a building in the Historic Environment Scotland database
8. age estimated by a dating method, also known as stellar age, geological age, dating (wd:P7584 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): estimation of the age of a star, geological feature, fossil or object
9. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
10. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): professional collaborator, significant person

[Assistant]
The most relevant property for "boyfriend" is "unmarried partner" (wdt:P451). This property is used for romantic partners who are not married.

Now, I will construct a SPARQL query to find the IRIs (and optionally, the labels) of Kourtney Kardashian's boyfriends using this property.

[Tool]
Got 2 rows and 2 columns:
| ?boyfriend                     | ?boyfriendLabel |
| ------------------------------ | --------------- |
| Younes Bendjima (wd:Q55200042) | Younes Bendjima |
| Scott Disick (wd:Q7883337)     | Scott Disick    |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q192955 wdt:P27 ?country
}

Got 2 rows and 1 column:
| ?country                 |
| ------------------------ |
| United Kingdom (wd:Q145) |
| Canada (wd:Q16)          |

Steve Nash has Canadian and British (United Kingdom) nationality.

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

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

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

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

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

[User] what is steve nash nationality?

[Assistant]
To answer this question, I need to:

1. Identify the entity for "Steve Nash" in Wikidata.
2. Find the property related to "nationality."
3. Construct a SPARQL query to retrieve Steve Nash's nationality.

Let's start by searching for the entity "Steve Nash."

[Tool]
Top 10 entity alternatives:
1. Steve Nash, also known as Stephen John Nash (wd:Q192955): Canadian basketball player and coach, basketball player, basketball coach, businessperson, film director
2. Steve Nash (wd:Q16137022): English rugby league footballer and coach, rugby league player
3. Steve Nash (wd:Q48851147): disc jockey
4. Steve Nash (wd:Q42316961): actor
5. Steven Jackson, also known as Steven Nash Jackson (wd:Q3499240): American baseball player, baseball player
6. Steven G. Nash (wd:Q98756087): American politician, businessperson, politician
7. Steven Roy Nash, also known as Dr. Steven Roy Nash (wd:Q76187877): Peerage person ID=590989
8. Edward Mungo Steven Nash, also known as Edward Nash (wd:Q76187880): (born 1990)
9. Nash, also known as Nash, Texas, Nash, TX (wd:Q978847): city in Bowie County, Texas, United States
10. Nash, also known as Nash, OK, Nash, Oklahoma (wd:Q2321969): town in Grant County, Oklahoma, United States

[Assistant]
The most relevant entity for "Steve Nash" the basketball player is wd:Q192955.

Next, I need to find the property for "nationality" in Wikidata.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): country a person or a team represents when playing a sport, country
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
4. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): most specific known birth location of a person, animal or fictional character, location
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): date on which the subject was born, inception
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): category item that groups people born in this place, related category
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): language or languages a person has learned from early childhood, languages spoken, written or signed
9. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): full name of a person at birth, if different from their current, generally used name, name
10. birthday, also known as b-day, bday, birth day (wd:P3150 as p/wdt/pqv/prv/wdtn/prn/ps/pqn/psv/pr/psn/pq): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth

[Assistant]
The most relevant property for "nationality" is "country of citizenship" (wdt:P27).

Now, I will construct a SPARQL query to retrieve the country of citizenship for Steve Nash (wd:Q192955). I will also try to get the label for the country.

[Tool]
Got 2 rows and 2 columns:
| ?country                 | ?countryLabel  |
| ------------------------ | -------------- |
| United Kingdom (wd:Q145) | United Kingdom |
| Canada (wd:Q16)          | Canada         |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q181574 wdt:P527 ?country
}

Got 3 rows and 1 column:
| ?country               |
| ---------------------- |
| Canada (wd:Q16)        |
| United States (wd:Q30) |
| Mexico (wd:Q96)        |

The countries involved in NAFTA are Canada (wd:Q16), United States (wd:Q30), and Mexico (wd:Q96).

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

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

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

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

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

[User] what countries are involved in the nafta?

[Assistant]
Let's break down the question:

1. The user wants to know which countries are involved in NAFTA.
2. First, I need to identify the Wikidata entity for NAFTA.
3. Then, I need to find the property that links NAFTA to its member countries.
4. Finally, I will construct a SPARQL query to retrieve the IRIs of the countries involved.

Step 1: Search for the entity "NAFTA" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. North American Free Trade Agreement, also known as NAFTA (wd:Q181574): trade bloc
2. Nafta, also known as Nefta (wd:Q1026298): Tunisian town
3. nafta (wd:Q1213853): chemical compound
4. Nafta (wd:Q11788993): 1961 film by Stanisław Lenartowicz
5. Nafta (wd:Q6958220): Soviet Union oil company operating abroad
6. Nafta, also known as IMO 8853946 (wd:Q52335786): bunkering tanker built in 1978
7. NAFTA, also known as NAFTA a.s. (wd:Q12772242): Slovak multinational company operating in the field of storage and extraction of hydrocarbons
8. Naftalan (wd:Q152825): city in Azerbaijan
9. Naphtali, also known as Naftali (wd:Q1771963): biblical figure and the sixth son of Jacob through his concubine Bilhah
10. United States–Mexico–Canada Agreement, also known as Canada–United States–Mexico Agreement, CUSMA, NAFTA 2.0, NAFTA Redux, New NAFTA (wd:Q56839716): North American trade bloc

[Assistant]
The correct entity for NAFTA (North American Free Trade Agreement) is wd:Q181574.

Next, I need to find the property that links NAFTA to its member countries. I'll search for properties related to "member" or "country" for this entity.

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
4. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
5. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
6. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
9. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
10. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name

No other items found

[Tool]
Got 3 rows and 3 columns:
| subject                                          | property               | object                 |
| ------------------------------------------------ | ---------------------- | ---------------------- |
| North American Free Trade Agreement (wd:Q181574) | has part(s) (wdt:P527) | United States (wd:Q30) |
| North American Free Trade Agreement (wd:Q181574) | has part(s) (wdt:P527) | Mexico (wd:Q96)        |
| North American Free Trade Agreement (wd:Q181574) | has part(s) (wdt:P527) | Canada (wd:Q16)        |

[Tool]
Got 3 rows and 1 column:
| ?country               |
| ---------------------- |
| Canada (wd:Q16)        |
| United States (wd:Q30) |
| Mexico (wd:Q96)        |

[Tool] Stopped generation process