PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX schema: <http://schema.org/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label ?desc WHERE {
  wd:Q4618 rdfs:label ?label .
  OPTIONAL {
    wd:Q4618 schema:description ?desc .
  }
  FILTER ( lang( ?label ) = "en" ) FILTER ( lang( ?desc ) = "en" )
}

The best way to describe 'karnaval' (Carnival) is: 'festive season which occurs immediately before Lent.'

[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's the best way to describe karnaval

[Assistant]
Let's break down the question:

1. The user is asking for the "best way to describe karnaval." This could mean a definition, description, or main concept associated with "karnaval."
2. First, I need to identify the correct entity for "karnaval" in Wikidata. It could refer to "Carnival" (the festival), or a specific event, or something else.

I'll start by searching for the entity "karnaval" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Karnaval, also known as Carnival Night (wd:Q3193527): 1999 film by Thomas Vincent
2. Karnaval, also known as Karnaval (song) (wd:Q131468359): 2024 single by Elvana Gjata
3. Carnival, also known as Карнавал (wd:Q4215497): Soviet rock music group
4. Karnaval (wd:Q128276400): periodical published in Istanbul from 1908 onwards
5. Valya Karnaval, also known as Karna.val, Valentina Vasilievna Karnaukhova (wd:Q102265413): Russian singer & vlogger (born 2001), TikToker, vlogger, singer, actor
6. Karnavalet (wd:Q11735918): 1980 film by Ismail Zhabjaku
7. Carnival of Colours, also known as Karnaval cvetov, Carnival of Сolors (wd:Q111472431): Soviet experimental color film-concert of 1935
8. Karnavalat (wd:Q12282668): 1990 film
9. Karnavalfiguurtjes (wd:Q22042402)
10. Karnaval Festival (wd:Q127853291): annual hardstyle music festival in the Netherlands

[Assistant]
The search for "karnaval" returned several entities, but none directly correspond to the general concept of "Carnival" as a festival. The closest matches are:

- wd:Q3193527: Karnaval, a 1999 film
- wd:Q131468359: Karnaval, a 2024 single
- wd:Q4215497: Carnival (Карнавал), a Soviet rock group
- wd:Q128276400: Karnaval, a periodical

However, if you are asking about the general festival known as "Carnival" (often called "Karnaval" in various languages), the correct entity is likely "Carnival" (festival), which in English is "Carnival" and in other languages is "Karnaval" or similar.

To confirm, I'll search for "Carnival" (festival) in Wikidata to find the general concept.

[Tool]
Top 10 entity alternatives:
1. Carnival Festival (wd:Q1043919): dark ride
2. Limassol Carnival Festival (wd:Q24912957): annual carnival event held in Limassol, Cyprus
3. Carnival (festival preceding Lent) (wd:L445596-S1)
4. Workers' carnival street performance festival 2000 (wd:Q106973644): (MCY-002202)
5. Carnival, also known as carnaval, Shrovetide (wd:Q4618): festive season which occurs immediately before Lent
6. festival, also known as biennale, Fiesta Day, festivity, festival series, feast (wd:Q132241): organized set of events or activities focused on a theme (cultur...e.g. once a year) and lasts anywhere from several hours to weeks
7. party, also known as celebration, feast, festival, festivity, gala (wd:Q200538): social event
8. Carnival Cruise Line, also known as Carnival Cruises, Carnival (wd:Q656554): cruise line
9. traveling carnival, also known as carnival, travelling funfair (wd:Q259037): moveable amusement park
10. traveling carnival, also known as carnival, travelling funfair (wd:Q259037): moveable amusement park

[Assistant]
From the search results, the most relevant entity for "karnaval" as a general festival is:

- wd:Q4618: Carnival, also known as carnaval, Shrovetide: festive season which occurs immediately before Lent

This matches the general concept of "karnaval" as celebrated in many cultures. The user is likely asking for a description or definition of this festival.

Next, I will look for the best way to describe this entity. In Wikidata, the "description" or "short description" is often stored as a label or description, and a more detailed explanation may be found in the "short description" or "article" properties.

I'll check for properties related to "description" for wd:Q4618.

[Tool]
Top 10 property alternatives:
1. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
2. spoken text audio, also known as audio description, spoken Wikipedia, spoken Wikipedia text audio, Wikipedia audio, Wikipedia spoken text audio (wd:P989 as wdt/p): audio file for the spoken work or Wikipedia article, including audio descriptions, audio
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdt/p): object depicting this subject (object being creative works such as books, films, paintings)
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
8. said to be the same as, also known as may be, the same as, synonymous with, same as, same (wd:P460 as wdt/p): this item is said to be the same as that item, though this may be uncertain or disputed
9. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused
10. event interval, also known as event frequency, frequency of event, interval, period (wd:P2257 as wdt/p): standard nominal interval between scheduled or regularly recurri...1/(event frequency). Time period of periodically occurring event

No other items found

[Assistant]
There is no direct "description" property, but Wikidata entities typically have a label and a description, and sometimes a "short description" or are "described by source." For a general answer, the best way to describe "karnaval" (Carnival, wd:Q4618) is to use its label and description.

To provide a more informative answer, I will retrieve the label and description for wd:Q4618 using rdfs:label and schema:description, if available.

[Tool]
Got 33 rows and 2 columns, showing the first 5 and last 5 rows below:
| label         | description                                                              |
| ------------- | ------------------------------------------------------------------------ |
| Carnival (en) | Brauch; Period vu Liichtmëssdag bis Halleffaaschtesonndeg (lb)           |
| Carnival (en) | Brauchtum vor Aschermittwoch (de)                                        |
| Carnival (en) | Bruuchtum vor em Äschermittwoch (gsw)                                    |
| Carnival (en) | celebración antes da coresma cristiá (gl)                                |
| Carnival (en) | celebración pública que tiene lu...e antes de la cuaresma cristiana (es) |
| ...           | ...                                                                      |
| Carnival (en) | פסטיבל תחפושות (he)                                                      |
| Carnival (en) | جشن یا رژه همگانی در خیابان، آمی...ی از سیرک‌بازی و رقص‌های خیابانی (fa) |
| Carnival (en) | उत्सव मौसम जुन तुरून्तै लेन्ट अघि अाउँछ (ne)                             |
| Carnival (en) | 節日 (zh)                                                                  |
| Carnival (en) | 西方教会の文化圏で見られる通俗的な節期 (ja)                                                 |

[Tool]
Got 1 row and 2 columns:
| label         | desc                                                     |
| ------------- | -------------------------------------------------------- |
| Carnival (en) | festive season which occurs immediately before Lent (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query retrieves both the English label and description for the entity 'Carnival' (wd:Q4618), which directly addresses the user's question about the best way to describe 'karnaval'. The query follows the guidelines, returning the identifier implicitly by referencing the entity, and retrieves human-readable information as requested. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?gender WHERE {
  wd:Q3309730 wdt:P21 ?gender
}

Michel Gauthier's gender is male.

[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 gender is michel gauthier?

[Assistant]
Let's break down the question:

1. The entity is "Michel Gauthier". I need to find the corresponding Wikidata entity.
2. The property is "gender". I need to find the appropriate property for gender in Wikidata.
3. I will then construct a SPARQL query to retrieve the gender of Michel Gauthier.

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

[Tool]
Top 10 entity alternatives:
1. Michel Gauthier (wd:Q3309730): Canadian politician (1950-2020), journalist, politician
2. Michel Gauthier (wd:Q3309727): French film director, film director
3. Michel Gauthier (wd:Q16028701): Canadian filmmaker and photographer, environmentalist, film director, photographer
4. Michel Gauthier (wd:Q112405924)
5. Michel Gauthier (wd:Q112444075): university teacher, literary scholar
6. Michel Gauthier (wd:Q113375335): French roman-catholic priest (1934-2005), Latin Catholic priest, Catholic theologian, Catholic priest
7. Michel Gauthier (wd:Q121222827): director
8. Michel Gauthier (wd:Q130620214): Canadian political candidate, journalist, politician
9. Michel Gauthier (wd:Q65606860): French local politician (Isère), politician, technician
10. Gauthier, Charles Michel (wd:Q104085576): encyclopedia article

[Assistant]
There are multiple people named "Michel Gauthier" in Wikidata. The most prominent one is Michel Gauthier (wd:Q3309730), a Canadian politician (1950-2020). Unless you specify otherwise, I will proceed with this entity.

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

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Assistant]
The correct property for "gender" (sex or gender) is wd:P21.

Now, I will construct a SPARQL query to retrieve the gender of Michel Gauthier (wd:Q3309730) using the property wd:P21. I will also try to get a human-readable label for the gender value.

[Tool]
Got 1 row and 2 columns:
| gender             | genderLabel |
| ------------------ | ----------- |
| male (wd:Q6581097) | male (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the gender (sex or gender property P21) of Michel Gauthier (Q3309730) from Wikidata and returns the IRI of the gender item, as required. The answer is accurate and the query follows all the specified rules. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q237090 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel .
    FILTER ( lang( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfDeath   | placeOfDeathLabel |
| -------------- | ----------------- |
| Paris (wd:Q90) | Paris (en)        |

Madame de La Fayette died in Paris (wd:Q90).

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

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

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

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

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

[User] Where did madame de la fayette die?

[Assistant]
Let's break down the question:

1. The entity is "Madame de La Fayette".
2. The property we are interested in is "place of death".

First, I will search for the entity "Madame de La Fayette" in Wikidata to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Madame de Lafayette, also known as Marie-Madeleine Countess de la Fayette, Madame de La Fayette, Monsieur de Segrais (wd:Q237090): French writer (1634-1693), lady-in-waiting, correspondent, salonnière, historian, novelist, writer
2. Romans et nouvelles de Madame de La Fayette (wd:Q105269390): Garnier Frères 1922
3. House of Motier de La Fayette, also known as de Lafayette, de La Fayette, du Motier de La Fayette, House of Lafayette, House of La Fayette (wd:Q28493330): French noble family
4. House of La Fayette, also known as Motier de La Fayette family, La Fayette family, Lafayette family, House of La Fayette, House of Lafayette (wd:Q28493330): French noble family
5. Madame de La Lande (wd:Q3275350): lady-in-waiting
6. de La Fayette (wd:Q64977349): family name
7. Gilbert du Motier, Marquis de Lafayette, also known as Marquis de Lafayette, Marie-Joseph Paul Yves Roch Gilbert du Motier, Marquis de La Fayette, Marie-Joseph Paul Yves Roch Gilb...du Motier, Marquis de La Fayette, Michel Louis Christophe Roch Gilbert Motier, marquis de La Fayette (wd:Q186652): French general and politician (1757–1834), military officer, army officer, aristocrat, politician
8. Adrienne de Noailles, Mademoiselle d'Ayen, also known as Adrienne de Noailles, Marquise de La Fayette, Marie Adrienne Françoise de Noailles, Marquise de La Fayette, Marie Adrienne Françoise de Noailles, Adrienne de Lafayette (wd:Q2825325): French noblewoman, aristocrat
9. Marguerite de la Sablière, also known as Mme de la Sablière, Marguerite Hessin de Rambouillet de La Sablière, Madame de la Sablière, Mme de Rambouillet, Marguerite Hessein (wd:Q1964729): association football player, French scientist, philosopher, salonnière, journalist, actor
10. Louise de La Fayette, also known as Louise Angélique Motier de la Fayette (wd:Q274250): French noble (1618-1665), lady-in-waiting, nun

[Assistant]
The top result, wd:Q237090, is Madame de Lafayette (Marie-Madeleine Countess de la Fayette), the French writer. This matches the intended person.

Next, I need to find the property for "place of death".

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The correct property for "place of death" is wd:P20.

Now, I will construct a SPARQL query to find the place of death for Madame de La Fayette (wd:Q237090) using the property "place of death" (wd:P20). I will also try to retrieve the label of the place for clarity, but will keep it optional as per the instructions.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath   | placeOfDeathLabel |
| -------------- | ----------------- |
| Paris (wd:Q90) | Paris (en)        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death (wd:P20) for Madame de La Fayette (wd:Q237090) and optionally fetches the English label for the location. The result matches the expected answer, and the query follows all the specified rules, including returning the IRI and using optional for the label. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?gender WHERE {
  wd:Q1486459 wdt:P21 ?gender
}

The gender of Salvatore Bruno (the Italian footballer) is male.

[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 the gender of salvatore bruno?

[Assistant]
Let's break down the question:

1. The entity is "Salvatore Bruno". I need to find the correct Wikidata entity for this person.
2. The property is "gender". I need to find the correct property for gender in Wikidata.
3. I will then construct a SPARQL query to retrieve the gender of Salvatore Bruno.

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

[Tool]
Top 10 entity alternatives:
1. Salvatore Bruno (wd:Q1486459): association football player, Italian footballer
2. Salvatore Bruno (wd:Q18287970): Italian politician (1917-1963), politician
3. Salvatore Bruno (wd:Q28357572): (1893-1987), sculptor
4. Salvatore Bruno, also known as Bruno S (wd:Q64856298): researcher
5. Salvatore Todaro, also known as Salvatore Bruno Todaro (wd:Q2215778): Italian naval officer and submariner during World War II (1908–1942), military personnel
6. Tory Bruno, also known as Salvatore Thomas Bruno (wd:Q59781802): aerospace executive and mechanical engineer, mechanical engineer, business executive
7. Salvatore Bruno Barba (wd:Q113824341): anthropologist
8. Bruno (wd:Q17756): Italian comune
9. Brüno (wd:Q926309): 2009 film directed by Larry Charles
10. Bruno, also known as Bruno, Minnesota, Bruno, MN (wd:Q2346694): city in Pine County, Minnesota, United States

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Tool]
Got 1 row and 2 columns:
| gender             | genderLabel |
| ------------------ | ----------- |
| male (wd:Q6581097) | male (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the gender of Salvatore Bruno using the appropriate Wikidata entity (wd:Q1486459) and property (wdt:P21). The result is accurate and matches the expected answer. The query also returns the identifier as required. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q3425311 wdt:P364 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( lang( ?languageLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| language           | languageLabel |
| ------------------ | ------------- |
| English (wd:Q1860) | English (en)  |

The film 'A Town Like Alice' was filmed in English.

[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 is a town like alice filmed in?

[Assistant]
Let's break down the question:

1. The user is asking about the language in which the film "A Town Like Alice" was filmed.
2. First, I need to identify the correct entity for "A Town Like Alice" (the film) in Wikidata.
3. Then, I need to find the property that indicates the language of a film.

Step 1: Search for the entity "A Town Like Alice" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. A Town Like Alice, also known as Town Like Alice (wd:Q3425311): 1956 film by Jack Lee
2. A Town Like Alice (wd:Q4660252): novel by Nevil Shute
3. A Town Like Alice, also known as Town Like Alice (wd:Q4660248): 1981 Australian television minseries
4. Mount Isa: A Town like Alice?∗ (wd:Q58570532): article
5. Doctors, nuclear war, and a town like alice (wd:Q58025097)
6. Alice Town (wd:Q1771833): town in Bimini, Bahamas
7. A girl like Alice (wd:Q116448058): book published in 1990
8. Heart Like a Wheel/Old Town (wd:Q3327553): single by The Corrs
9. Space Like Alice (wd:Q17055433): Australian rock band
10. Alice Joyce Nye, also known as Alice Nye, Alice Townshend (wd:Q76368805): Peerage person ID=716010

[Assistant]
The most likely entity for the film "A Town Like Alice" is wd:Q3425311, which is the 1956 film by Jack Lee. There is also a 1981 miniseries (wd:Q4660248), but since the question asks about the film, I will proceed with wd:Q3425311.

Next, I need to find the property that indicates the language of a film.

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

[Assistant]
The most appropriate property for the language of a film is "language of work or name" (wd:P407).

Now, I will construct a SPARQL query to find the language(s) of the film "A Town Like Alice" (wd:Q3425311) using the property wd:P407.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that there is no direct value for the property "language of work or name" (wd:P407) for the film "A Town Like Alice" (wd:Q3425311) in Wikidata.

To ensure completeness, I will check if there are any other properties related to language used for this film by listing all properties associated with wd:Q3425311.

[Tool]
Got 222 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                        | object                              |
| ------------------------------- | ----------------------------------------------- | ----------------------------------- |
| A Town Like Alice (wd:Q3425311) | instance of (wdt:P31)                           | film (wd:Q11424)                    |
| A Town Like Alice (wd:Q3425311) | title (wdt:P1476)                               | A Town Like Alice (en)              |
| A Town Like Alice (wd:Q3425311) | publication date (wdt:P577)                     | 1956-01-01T00:00:00Z (xsd:dateTime) |
| A Town Like Alice (wd:Q3425311) | main subject (wdt:P921)                         | Pacific War (wd:Q184425)            |
| A Town Like Alice (wd:Q3425311) | country of origin (wdt:P495)                    | United Kingdom (wd:Q145)            |
| A Town Like Alice (wd:Q3425311) | genre (wdt:P136)                                | drama film (wd:Q130232)             |
| A Town Like Alice (wd:Q3425311) | cast member (wdt:P161)                          | Peter Finch (wd:Q294454)            |
| A Town Like Alice (wd:Q3425311) | original language of film or TV show (wdt:P364) | English (wd:Q1860)                  |
| A Town Like Alice (wd:Q3425311) | distribution format (wdt:P437)                  | video on demand (wd:Q723685)        |
| A Town Like Alice (wd:Q3425311) | director (wdt:P57)                              | Jack Lee (wd:Q3157245)              |
| ...                             | ...                                             | ...                                 |

[Assistant]
I found that the property "original language of film or TV show" (wdt:P364) is used for "A Town Like Alice" (wd:Q3425311), and its value is "English" (wd:Q1860).

I will now write a final SPARQL query that returns the original language(s) of the film, including the IRI and optionally the label.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the original language of the film 'A Town Like Alice' using the appropriate property (wdt:P364) and returns the IRI of the language as required. The answer is accurate and the query follows all specified rules. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?publisher WHERE {
  wd:Q187351 wdt:P123 ?publisher
}

The publisher of Split/Second: Velocity is Disney Interactive Studios (wd:Q1229035).

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

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

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

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

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

[User] who published split second: velocity

[Assistant]
Let's break down the question:

1. The entity "Split Second: Velocity" is likely a video game.
2. The property "published" refers to the publisher of the game.

First, I will search for the entity "Split Second: Velocity" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Split Second (wd:Q2624555): 1992 film by Ian Sharp, Tony Maylam
2. Split Second (wd:Q153519): 1953 film by Dick Powell
3. Split Second (wd:Q839461): television drama
4. Split Second (wd:Q19364525): 2003 novel by David Baldacci
5. Split Second (wd:Q7578673): television series
6. Split Second (wd:Q15638017): episode of ER (S5 E2)
7. Split Second (wd:Q132348757): Radio Drama based on Doctor Who
8. Split Second (wd:Q51265995): episode of Continuum (S2 E2)
9. Split Second (wd:Q119583552): painting by Nathan Barlex (b.1976), Royal College of Art
10. Split Second (wd:Q114550646): episode of Tales from the Crypt (S3 E11)

[Assistant]
None of the top search results directly match "Split Second: Velocity" as a video game. The closest matches are films, TV shows, novels, and other media.

To refine the search, I will try searching for "Split Second" with the keyword "video game" to see if the correct entity appears.

[Tool]
Top 10 entity alternatives:
1. North American video game crash of 1983, also known as 2. video game crash, 1983 video game crash, video game crash of 1983, Atari shock, second video game crash (wd:Q643802): 1983 video gaming economic recession
2. World War II video game, also known as Second World War video game, video game about World War II, WW2 video game, WWII video game (wd:Q124695146): video game theme
3. second generation of video game consoles (wd:Q129787): video game console generation
4. Video Game Industry Split on Violence Issue (wd:Q113496070)
5. video game, also known as computer game, computer games, vg, videogame, videogames (wd:Q7889): electronic game with user interface and visual feedback
6. Split Second (wd:Q2624555): 1992 film by Ian Sharp, Tony Maylam
7. Split Second (wd:Q153519): 1953 film by Dick Powell
8. Split Second (wd:Q839461): television drama
9. The Second Game, also known as Al doilea joc, Second Game (wd:Q16679768): 2014 film by Corneliu Porumboiu
10. Split Second (wd:Q19364525): 2003 novel by David Baldacci

[Assistant]
The search for "Split Second video game" did not return a direct match for the video game "Split Second: Velocity." The closest matches are unrelated to the video game.

To improve the search, I will try searching for just "Split Second" and look for any video game-related entities among the results.

[Tool]
Top 10 entity alternatives:
1. Split Second (wd:Q2624555): 1992 film by Ian Sharp, Tony Maylam
2. Split Second (wd:Q153519): 1953 film by Dick Powell
3. Split Second (wd:Q839461): television drama
4. Split Second (wd:Q19364525): 2003 novel by David Baldacci
5. Split Second (wd:Q7578673): television series
6. Split Second (wd:Q15638017): episode of ER (S5 E2)
7. Split Second (wd:Q132348757): Radio Drama based on Doctor Who
8. Split Second (wd:Q51265995): episode of Continuum (S2 E2)
9. Split Second (wd:Q119583552): painting by Nathan Barlex (b.1976), Royal College of Art
10. Split Second (wd:Q114550646): episode of Tales from the Crypt (S3 E11)

[Assistant]
The search results for "Split Second" do not include a video game entity. Since "Split Second: Velocity" is a well-known racing video game, it is possible that Wikidata has it under a slightly different name.

I will try searching for "Velocity" and see if there is a video game entity with that name or something similar.

[Tool]
Top 10 entity alternatives:
1. velocity, also known as speed, velocity vector (wd:Q11465): rate of change of the position of an object as a function of time, and the direction of that change
2. rate, also known as intensivity, velocity, speed, process rate, rate of process (wd:Q1144560): quantity of process intensivity (mathematics)
3. Velocity (wd:Q1673215): 2005 novel by Dean Koontz
4. velocity (wd:Q7919282): a metric in agile software development for work done, as defined by the team
5. Velocity (wd:Q20800661): cross-platform JavaScript library
6. Velocity, also known as Velocity Ultra (wd:Q7919281): 2012 video game
7. Velocity (wd:Q7919279): from Microsoft
8. Velocity (wd:Q7919280)
9. Velocity Frequent Flyer, also known as Velocity (wd:Q22102026): frequent-flyer program of Virgin Australia whose airline call sign is "Velocity"
10. Velocity, also known as Carin Taylor (wd:Q7919278): fictional character, superhero

[Assistant]
The search for "Velocity" returned a few video game-related entities, such as "Velocity Ultra (wd:Q7919281)" and "Velocity (wd:Q7919280)", but none of them seem to match "Split Second: Velocity," which is a racing game published by Disney.

Since the game is published by Disney, I will try searching for "Disney racing video game" to see if that leads to the correct entity.

[Tool]
Top 10 entity alternatives:
1. racing video game, also known as racing, racing game, Racing games, racing video games, racer (wd:Q860750): video game genre featuring a competition of speed between vehicles, animals or people
2. kart racing game, also known as karting racing video game, kart racing video game, kart racer, karting racing game, go-kart racing (wd:Q18759108): video game genre
3. combat racing, also known as combat racing video game, demolition derby game, demolition derby video game, survival racing (wd:Q125288073): video game genre
4. air racing video game (wd:Q63914753): genre of racing video game
5. arcade racing game, also known as arcade racing, arcade racing video game (wd:Q95124454): video game genre
6. ATV racing video game (wd:Q130543720): video game genre
7. horse racing video game, also known as horse racing game (wd:Q108611897): video game genre
8. drag racing video game, also known as drag racing game (wd:Q63914682): genre of racing video game
9. racing management video game (wd:Q108924240): video game genre
10. rally racing video game, also known as rally game, rallying game, rallying video game, rally racing game, rally video game (wd:Q112074728): video game genre

[Assistant]
The search for "Disney racing video game" only returned general genres and not specific games. Since "Split Second: Velocity" is a racing game published by Disney, but is not appearing in entity searches, it is possible that Wikidata does not have a dedicated entity for it, or it is under a different name.

As a last attempt, I will search for "Split/Second" (with a slash), as the game is sometimes stylized that way.

[Tool]
Top 10 entity alternatives:
1. Split/Second, also known as Split/Second: Velocity (wd:Q187351): 2010 video game
2. Split/Second: Arcade Edition (wd:Q124287948): 2010 video game
3. Split/Second: Arcade Edition Wangan (wd:Q122350866): 2012 video game

[Assistant]
Now I have found the correct entity: "Split/Second" (wd:Q187351), also known as "Split/Second: Velocity," which is a 2010 video game. There is also "Split/Second: Arcade Edition" (wd:Q124287948).

Next, I need to find the publisher of this game. I will search for properties related to "publisher" for the entity wd:Q187351.

[Tool]
Top 10 property alternatives:
1. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as wdt/p): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
2. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/p): method (or type) of distribution for the subject
3. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/p): date or point in time when a work was first published or released, point in time
4. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as wdt/p): platform for which a work was developed or released, or the specific platform version of a software product
5. distributed by, also known as distributor (wd:P750 as wdt/p): distributor of a creative work; distributor for a record label; news agency; film distributor
6. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
7. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as wdt/p): organization or person that developed the item, creator
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
10. Game Informer ID, also known as Game Informer identifier, GI ID (wd:P10507 as wdt/p): identifier of a video game in the Game Informer database

No other items found

[Tool]
Got 1 row and 1 column:
| publisher                                |
| ---------------------------------------- |
| Disney Interactive Studios (wd:Q1229035) |

[Tool]
Got 1 row and 2 columns:
| publisher                                | publisherLabel                  |
| ---------------------------------------- | ------------------------------- |
| Disney Interactive Studios (wd:Q1229035) | Disney Interactive Studios (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query directly retrieves the publisher (wdt:P123) of the correct entity (wd:Q187351, Split/Second: Velocity) and returns the IRI as required. The answer is correct and complete, and all rules have been followed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?mode ?modeLabel ?genre ?genreLabel ?sport ?sportLabel WHERE {
  OPTIONAL {
    wd:Q16266958 wdt:P404 ?mode .
    OPTIONAL {
      ?mode rdfs:label ?modeLabel FILTER ( lang( ?modeLabel ) = "en" )
    }
  }
  OPTIONAL {
    wd:Q16266958 wdt:P136 ?genre .
    OPTIONAL {
      ?genre rdfs:label ?genreLabel FILTER ( lang( ?genreLabel ) = "en" )
    }
  }
  OPTIONAL {
    wd:Q16266958 wdt:P641 ?sport .
    OPTIONAL {
      ?sport rdfs:label ?sportLabel FILTER ( lang( ?sportLabel ) = "en" )
    }
  }
}

According to Wikidata, NBA Jam 99 is listed as having a single-player gameplay mode. Its genre is sports video game, specifically basketball. Please note that this information is based on Wikidata, and there may be additional gameplay modes in the game that are not captured in the current data.

[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 gameplay is available in nba jam 99

[Assistant]
Let's break down the question:

1. The main entity is "NBA Jam 99", which is a video game.
2. The user is asking about the "type of gameplay" available in this game. This likely refers to gameplay modes, features, or genres.

First, I will search for the entity "NBA Jam 99" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. NBA Jam 99 (wd:Q16266958): 1998 video game
2. NBA Jam, also known as NBA JAM (wd:Q1959943): 1993 video game
3. NBA Jam (wd:Q5406023): basketball video game series
4. NBA Jam (wd:Q5479090): 2010 video game
5. NBA Jam (wd:Q6952677): television series
6. NBA Jam, also known as NBA Jam 2004 (wd:Q6952676): 2003 video game
7. NBA Live 99 (wd:Q1989219): 1998 basketball video game
8. NBA Jam Extreme (wd:Q6952683): 1996 video game
9. NBA Jam 2001 (wd:Q5399203): 2000 video game
10. NBA Jam 2002 (wd:Q6952681): 2002 video game

[Assistant]
The correct entity for "NBA Jam 99" is wd:Q16266958, which is a 1998 video game.

Next, I need to find properties related to "type of gameplay" for this entity. This could include properties like "game mode", "genre", or "features". I will search for relevant properties for this entity using keywords like "gameplay", "mode", and "genre".

[Tool]
Top 10 property alternatives:
1. game mode, also known as player mode, play mode, player configuration, mode, gameplay (wd:P404 as wdt/p): video game's available playing mode(s), has use
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
3. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as wdt/p): platform for which a work was developed or released, or the specific platform version of a software product
4. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as wdt/p): series which contains the subject, part of
5. MobyGames game ID, also known as MG game ID, MobyGames game ID (new scheme), MobyGames game numeric ID, MobyGames numeric game ID (wd:P11688 as wdt/p): identifier of a video game in the MobyGames database
6. Internet Game Database game ID, also known as IGDB game ID, Kotaku game ID, igdb.com game ID (wd:P5794 as wdt/p): identifier for a game on the Internet Game Database
7. ESRB game ID, also known as Entertainment Software Rating Board video game ID, ESRB ID (wd:P8303 as wdt/p): identifier for a video game on ESRB's official website
8. Génération Nintendo game ID, also known as GN game ID (wd:P12626 as wdt/p): identifier of a video game at the website generation-nintendo.com
9. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as wdt/p): organization or person that developed the item, creator
10. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

No other items found

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

- game mode (wdt:P404): available playing modes
- genre (wdt:P136): creative work's genre

I will first check which game modes (wdt:P404) are associated with NBA Jam 99 (wd:Q16266958).

[Tool]
Got 1 row and 3 columns:
| subject                   | property             | object                                |
| ------------------------- | -------------------- | ------------------------------------- |
| NBA Jam 99 (wd:Q16266958) | game mode (wdt:P404) | single-player video game (wd:Q208850) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property         | object                         |
| ------------------------- | ---------------- | ------------------------------ |
| NBA Jam 99 (wd:Q16266958) | genre (wdt:P136) | sports video game (wd:Q868217) |

[Tool]
Got 1 row and 3 columns:
| subject                   | property         | object                |
| ------------------------- | ---------------- | --------------------- |
| NBA Jam 99 (wd:Q16266958) | sport (wdt:P641) | basketball (wd:Q5372) |

[Tool]
Got 1 row and 6 columns:
| mode                                  | modeLabel                     | genre                          | genreLabel             | sport                 | sportLabel      |
| ------------------------------------- | ----------------------------- | ------------------------------ | ---------------------- | --------------------- | --------------- |
| single-player video game (wd:Q208850) | single-player video game (en) | sports video game (wd:Q868217) | sports video game (en) | basketball (wd:Q5372) | basketball (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies the gameplay mode (single-player), genre (sports video game), and sport (basketball) for NBA Jam 99, and the SPARQL query retrieves these from Wikidata. However, the answer only mentions single-player gameplay, while the query could potentially return more modes if they exist. Also, the answer should clarify that the information is based on Wikidata and that only 'single-player' is listed there, as the game might have other modes not captured in Wikidata. The query itself is correct and follows the guidelines, but the answer could be more precise about the source and completeness of the information.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the gameplay mode(s), genre, and sport for NBA Jam 99 using the appropriate properties (P404 for game mode, P136 for genre, and P641 for sport). The query returns the actual IRIs for each item, and labels are included in OPTIONAL clauses as per best practices. The answer accurately reflects the data available in Wikidata, and the query follows all specified rules. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre ?genreLabel WHERE {
  VALUES ?genre {
    wd:Q1054574 wd:Q40831
  }
  wd:Q17012488 wdt:P136 ?genre .
  OPTIONAL {
    ?genre rdfs:label ?genreLabel FILTER ( lang( ?genreLabel ) = "en" )
  }
}

Soongava: Dance of the Orchids is a romance film, but not a comedy.

[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] is soongava: dance of the orchids a romance film or comedy

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Soongava: Dance of the Orchids" in Wikidata.
2. We need to check if this film is classified as a "romance film" or "comedy" (likely via genre or instance of properties).
3. We need to find the correct properties and entities for "romance film" and "comedy".

First, I will search for the entity "Soongava: Dance of the Orchids" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Soongava: Dance of the Orchids (wd:Q17012488): 2012 Nepali film by Subarna Thapa
2. Dance of the Thermals (wd:Q119348133): painting by Wilhelmina Barns-Graham (1912–2004), Wilhelmina Barns-Graham Trust
3. The Fearless Vampire Killers, also known as Dance of the Vampires, Fearless Vampire Killers, The Fearless Vampire Killers or:...e, but Your Teeth Are in My Neck, The Fearless Vampire Killers, or...e, But Your Teeth Are in My Neck (wd:Q834530): 1967 film by Roman Polanski
4. Giant orchid, also known as Grammatophyllum speciosum, queen of the orchids, sugar cane orchid, Tiger orchid (wd:Q3006235): species of plant
5. Danza del palo volador, also known as Voladores de Papantla, Voladores, Palo Volador, danza de los Voladores, Dance of the Flyers (wd:Q1165268): Mesoamerican rite
6. Dance of the Vampires (wd:Q1074321): musical
7. Lord of the Dance, also known as Michael Flatley's Lord of the Dance (wd:Q1500282): Irish musical and dance production
8. The Dance of Reality, also known as Dance of Reality (wd:Q7728823): 2013 film by Alejandro Jodorowsky
9. Dance of Life, also known as Livets dans, The Dance of Life (wd:Q3208135): painting by Edvard Munch (1899–1900) (Nasjonalmuseet, NG.M.00941)
10. Dance of the 41 (wd:Q86659327): 2020 film directed by David Pablos

[Assistant]
The entity for "Soongava: Dance of the Orchids" is wd:Q17012488.

Next, I need to determine if this film is classified as a "romance film" or "comedy". This is typically indicated by the "genre" (P136) or "instance of" (P31) properties.

I will search for the entities for "romance film" and "comedy" to use as possible values for these properties.

[Tool]
Top 10 entity alternatives:
1. romance film, also known as romantic film (wd:Q1054574): film genre
2. Gothic romance film (wd:Q25230421): Film genre
3. romance film character (wd:Q116984653): film character appearing in romance films
4. teen romance film (wd:Q127738976): film genre
5. romance film genre (wd:L415168-S1)
6. New Year's romance (film) (wd:Q4323442): 2003 film by George Jungvald-Khilkevitch, based on a short story  by O. Henry “The Last Leaf”
7. Romance Rules Film Festival (wd:Q125606059)
8. Boys On Film: Bad Romance (wd:Q18170167): 2011 film
9. Romance on Film, Romance on Broadway (wd:Q7362428): Michael Feinstein album, released in 2000
10. Florence Romance International Film Festival (wd:Q125612122)

[Tool]
Top 10 entity alternatives:
1. comedy, also known as humor (wd:Q40831): genre of works intended to be humorous
2. The Small Railway Station, also known as comedy, Small Railway Station (wd:Q4371052): 1963 film by Boris Barnet
3. comedy, also known as theatrical comedy, comedic play, stage comedy, humorous play, humorous drama (wd:Q5151421): dramatic theatrical genre intended to make an audience laugh
4. Comedy (wd:Q111525578): Gen Hoshino's song
5. The Comedy, also known as Comedy (wd:Q3736133): 2012 film by Rick Alverson
6. Comedy (wd:Q4042194): 2002 short anime film
7. Comedy!, also known as Comédie ! (wd:Q17625102): 1987 film by Jacques Doillon
8. Comedy (wd:Q5151416): album by Black
9. Comedy+ (wd:Q83629718)
10. Comedy (wd:Q57081579): sculpture on display at Musée de Grenoble

[Assistant]
The relevant entities are:
- "romance film" (wd:Q1054574)
- "comedy" (wd:Q40831)

Now, I will check if "Soongava: Dance of the Orchids" (wd:Q17012488) has either of these as its genre (P136) or instance of (P31).

I will first check which properties related to genre or type are used for this film.

[Tool]
Got 133 rows and 3 columns, showing the first 10 rows below:
| subject                                       | property                                        | object                              |
| --------------------------------------------- | ----------------------------------------------- | ----------------------------------- |
| Soongava: Dance of the Orchids (wd:Q17012488) | instance of (wdt:P31)                           | film (wd:Q11424)                    |
| Soongava: Dance of the Orchids (wd:Q17012488) | title (wdt:P1476)                               | सुनगाभा (ne)                        |
| Soongava: Dance of the Orchids (wd:Q17012488) | publication date (wdt:P577)                     | 2012-01-04T00:00:00Z (xsd:dateTime) |
| Soongava: Dance of the Orchids (wd:Q17012488) | country of origin (wdt:P495)                    | Nepal (wd:Q837)                     |
| Soongava: Dance of the Orchids (wd:Q17012488) | official website (wdt:P856)                     | <http://soongava.com/>              |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136)                                | romance film (wd:Q1054574)          |
| Soongava: Dance of the Orchids (wd:Q17012488) | cast member (wdt:P161)                          | Saugat Malla (wd:Q16731881)         |
| Soongava: Dance of the Orchids (wd:Q17012488) | original language of film or TV show (wdt:P364) | Nepali (wd:Q33823)                  |
| Soongava: Dance of the Orchids (wd:Q17012488) | director (wdt:P57)                              | Subarna Thapa (wd:Q3502399)         |
| Soongava: Dance of the Orchids (wd:Q17012488) | duration (wdt:P2047)                            | 85 (xsd:decimal)                    |
| ...                                           | ...                                             | ...                                 |

[Tool]
Got 2 rows and 3 columns:
| subject                                       | property         | object                           |
| --------------------------------------------- | ---------------- | -------------------------------- |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136) | romance film (wd:Q1054574)       |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136) | LGBT-related film (wd:Q20442589) |

[Tool]
Got 1 row and 3 columns:
| subject                                       | property              | object           |
| --------------------------------------------- | --------------------- | ---------------- |
| Soongava: Dance of the Orchids (wd:Q17012488) | instance of (wdt:P31) | film (wd:Q11424) |

[Tool]
Got 2 rows and 3 columns:
| subject                                       | property         | object                           |
| --------------------------------------------- | ---------------- | -------------------------------- |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136) | romance film (wd:Q1054574)       |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136) | LGBT-related film (wd:Q20442589) |

[Tool]
Got 2 rows and 3 columns:
| subject                                       | property         | object                           |
| --------------------------------------------- | ---------------- | -------------------------------- |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136) | romance film (wd:Q1054574)       |
| Soongava: Dance of the Orchids (wd:Q17012488) | genre (wdt:P136) | LGBT-related film (wd:Q20442589) |

[Assistant]
"Soongava: Dance of the Orchids" (wd:Q17012488) is classified with the genre "romance film" (wd:Q1054574) and "LGBT-related film" (wd:Q20442589), but not "comedy" (wd:Q40831).

I will now provide a SPARQL query that checks if the film is a romance film or comedy, and answer accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The ASK query only checks if the film has either 'romance film' or 'comedy' as a genre, but does not distinguish which one(s) it actually has. The answer claims it is a romance film but not a comedy, but the query only returns True if either is present, not specifying which. To fully answer the question, the query should SELECT the genres of the film and check if each is present, or use two separate ASK queries (one for each genre). Please refine the query to provide more specific information about which genres apply.

[Assistant]
Thank you for the feedback. To provide a more precise answer, I will write a SELECT query that checks whether "Soongava: Dance of the Orchids" (wd:Q17012488) has the genres "romance film" (wd:Q1054574) and/or "comedy" (wd:Q40831). This will allow us to see exactly which of these genres apply.

Here’s my plan:
- Use a VALUES clause to check both genres.
- Return which of the two genres are present for the film.
- Optionally, include the genre label for clarity.

Let's construct and execute this query.

[Tool]
Got 1 row and 1 column:
| genre                      |
| -------------------------- |
| romance film (wd:Q1054574) |

[Tool]
Got 1 row and 2 columns:
| genre                      | genreLabel        |
| -------------------------- | ----------------- |
| romance film (wd:Q1054574) | romance film (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly checks whether "Soongava: Dance of the Orchids" (wd:Q17012488) has the genres "romance film" (wd:Q1054574) or "comedy" (wd:Q40831) and retrieves the matching genre(s). The result shows only "romance film," which matches the answer provided. The query returns the actual identifiers as required and uses an OPTIONAL clause for labels. No further refinement is needed.