PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre WHERE {
  wd:Q3761536 wdt:P136 ?genre .
}

Getz/Gilberto Vol. 2 is classified as jazz (wd:Q8341).

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

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

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

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

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

[User] What kind of music is getz/gilberto vol. 2 classified as

[Assistant]
Let's break down the question:

1. The entity is "getz/gilberto vol. 2", which is likely an album.
2. The property of interest is the "genre" or "music genre" classification.

First, I will search for the entity "getz/gilberto vol. 2" in Wikidata to find its identifier.

[Tool]
Top 10 entity alternatives:
1. Getz/Gilberto #2, also known as Getz/Gilberto Vol. 2 (wd:Q3761536): 1966 live album by Stan Getz and João Gilberto
2. Ole Ivars Vol. 2, also known as Vol. 2 (wd:Q11993615): 1968 studio album by Ole Ivars
3. Volumen 2, also known as Vol. 2 (wd:Q113141626): 1982 studio album by Chébere
4. Vol. 2 (wd:Q18794356): album by Wooden Shjips
5. Vol. 2 (wd:Q12523735): album
6. Vol. 2 (wd:Q11901867): 2005 studio album by Sapattivuosi; Black Sabbath tribute album
7. Vol. 2 (wd:Q108030589): 2021 studio album by Radio Company
8. Vol. 2 (wd:Q7939949): album by The West Coast Pop Art Experimental Band
9. Vol. 2 (wd:Q9055236): 1972 studio album by Pappo's Blues
10. 2001 Vol. 2 (wd:Q71309969): live compilation album by Aube

[Assistant]
The correct entity for "getz/gilberto vol. 2" is wd:Q3761536, which is a 1966 live album by Stan Getz and João Gilberto.

Next, I need to find the property for "music genre" or "genre" to determine how this album is classified. I will search for the property "genre" in Wikidata.

[Tool]
Top 10 property alternatives:
1. radio format, also known as format, radio station format, genre (wd:P415 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): describes the overall content broadcast on a radio station
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): structure of a creative work
5. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): identifier of a music genre, style, or scene on the Every Noise at Once website
6. MusicBrainz genre ID, also known as MB genre ID (wd:P8052 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): identifier for a genre on the MusicBrainz open music encyclopedia
7. for color scheme, also known as color mode, uses colour scheme, uses color scheme, theme, prefers colour scheme (wd:P8798 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): which color scheme this statement is designed for
8. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
9. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): primary topic of a work (see also P180: depicts), depicts
10. AllMusic genre/style ID, also known as AllMusic style identifier, AllMusic theme identifier, AllMusic theme ID, AllMusic style ID, AllMusic style/genre ID (wd:P9185 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): ID of a music genre or style in AllMusic

[Assistant]
The property "genre" (wd:P136) is the correct one to use for classifying the type of music for an album.

Now, I will construct a SPARQL query to retrieve the genre(s) of "Getz/Gilberto Vol. 2" (wd:Q3761536) using the property "genre" (wd:P136). I will also try to get the labels for the genres for easier interpretation, but will keep them optional as per the instructions.

[Tool]
Got 1 row and 2 columns:
| genre           | genreLabel |
| --------------- | ---------- |
| jazz (wd:Q8341) | jazz (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query directly retrieves the genre (wdt:P136) of the album Getz/Gilberto Vol. 2 (wd:Q3761536) from Wikidata, and the result matches the expected answer (jazz, wd:Q8341). The query returns the IRI as required, and no further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item WHERE {
  ?item rdfs:label "the last Egyptian" @en .
  ?item wdt:P31 wd:Q5
}

There is no person or character explicitly known as 'the last Egyptian' in Wikidata. Searches for both 'the last Egyptian' and 'Egyptian person' do not return any relevant individual or fictional character. Therefore, it is not possible to provide a country for 'the last Egyptian' as a person or character from Wikidata.

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

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

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

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

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

[User] what country is the last egyptian from?

[Assistant]
Let's break down the question:

1. "the last egyptian" likely refers to a specific entity, possibly a book, film, or person.
2. The question asks for the country associated with this entity.

First, I need to identify what "the last egyptian" refers to in Wikidata. I'll search for this entity.

[Tool]
Top 10 entity alternatives:
1. The Last Egyptian, also known as The Last Egyptian: A Romance of the Nile (wd:Q7745733): 1914 novel by L. Frank Baum
2. The Last Egyptian, also known as Last Egyptian (wd:Q94269565): 1914 silent film by J. Farrell MacDonald
3. The Last Egyptian (wd:Q126687731): paperback edition (en)
4. Egyptian invasions of Nubia: the last 5,000 years (wd:Q112705146): scientific article published in January 2004
5. The Egyptian, also known as Sinuhe egyptiläinen, Sinuhe the Egyptian (wd:Q830643): 1945 novel by Finnish author Mika Waltari
6. The Egyptian, also known as Egyptian (wd:Q1528304): 1954 film by Michael Curtiz
7. The Last Theorem (wd:Q13530565): book by Arthur C. Clarke
8. The Egyptian Theatre, also known as Fox Theatre, Egyptian Theatre, Boise, Ada Theatre, Egyptian Theatre, Ada Theater (wd:Q1659278): movie theater in Boise, Idaho, United States
9. The Egyptian (wd:Q19877670): messianic Jewish revolt leader, religious leader
10. The Last (wd:Q7745552): 2009 album by Aventura

[Assistant]
There are two main entities titled "The Last Egyptian":
1. The Last Egyptian (wd:Q7745733): a 1914 novel by L. Frank Baum.
2. The Last Egyptian (wd:Q94269565): a 1914 silent film by J. Farrell MacDonald.

Since the question asks "what country is the last egyptian from?", it could refer to either the novel or the film. Both are from 1914 and likely related. To be thorough, I will check the country associated with both entities.

First, I need to find the property for "country" in Wikidata.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): the object is a country that recognizes the subject as its citizen, country
4. country, also known as sovereign state, state, land, host country (wd:P17 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): continent of which the subject is a part, located in/on physical feature
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The most relevant property for "what country is the last egyptian from?" is likely "country of origin" (wd:P495), since it applies to creative works like novels and films.

Next, I will check the "country of origin" for both:
- The Last Egyptian (novel) (wd:Q7745733)
- The Last Egyptian (film) (wd:Q94269565)

I'll write a SPARQL query to get the country of origin for both entities.

[Tool]
Got 2 rows and 2 columns:
| item                             | country                |
| -------------------------------- | ---------------------- |
| The Last Egyptian (wd:Q7745733)  | United States (wd:Q30) |
| The Last Egyptian (wd:Q94269565) | United States (wd:Q30) |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The user's question asks about the country of 'the last Egyptian,' which refers to a person (possibly a historical or fictional character), not the country of origin of a novel or film titled 'The Last Egyptian.' The current SPARQL query retrieves the country of origin for two creative works, not for a person. The system should attempt to identify if there is a person or character referred to as 'the last Egyptian' and find their country, or clarify that such an entity does not exist in Wikidata. The current answer does not address the user's intent.

[Assistant]
Thank you for the feedback. The question is asking about the country of "the last Egyptian" as a person, not the country of origin of works titled "The Last Egyptian."

Step-by-step, here's how I'll proceed:
1. Search Wikidata for any person or character known as "the last Egyptian."
2. If such an entity exists, find their associated country.
3. If not, clarify that no such person or character exists in Wikidata.

I'll start by searching for entities related to "the last Egyptian" that are people or characters.

[Tool]
Top 10 entity alternatives:
1. The Last Egyptian, also known as The Last Egyptian: A Romance of the Nile (wd:Q7745733): 1914 novel by L. Frank Baum
2. The Last Egyptian, also known as Last Egyptian (wd:Q94269565): 1914 silent film by J. Farrell MacDonald
3. The Last Egyptian (wd:Q126687731): paperback edition (en)
4. The last well person (wd:Q53667276): scientific article published in February 1994
5. The last well person (wd:Q53660013): scientific article published in July 1994
6. The Last Person to See Teresa Alive (wd:Q110987795): Making a Murderer, Season 1, Episode 5
7. Egyptian invasions of Nubia: the last 5,000 years (wd:Q112705146): scientific article published in January 2004
8. First Person on the Last Page: Hitting Home (wd:Q127303496): scholarly article
9. The hostile-dependent personality. Last of a series (wd:Q51305087): scientific article published in June 1974
10. The Egyptian, also known as Sinuhe egyptiläinen, Sinuhe the Egyptian (wd:Q830643): 1945 novel by Finnish author Mika Waltari

[Assistant]
The search did not return any person or character explicitly named "the last Egyptian." The top results are creative works (a novel and a film), not people.

To be thorough, I'll try searching for "Egyptian" as a person or character, in case there is a notable figure known as "the last Egyptian" by another name or title.

[Tool]
Top 10 entity alternatives:
1. Egyptian person (wd:L707688-S1)
2. an Egyptian person (wd:L304192-S1)
3. an Egyptian person (wd:L2842-S1)
4. an Ancient Egyptian person (wd:L2842-S2)
5. an Ancient Egyptian person (wd:L304192-S2)
6. Egyptian Initiative for Personal Rights (wd:Q5348416): organization
7. Person with Egyptian Cross-80 AO 461 (wd:Q29042881): Bas-relief of a person with an Egyptian cross
8. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
9. Egyptian, also known as Ancient Egyptian, Egyptian language, Egyptian-Coptic, ancient Egyptian language, Egyptian (ancient) (wd:Q50868): extinct language spoken in ancient Egypt
10. person, also known as persons (wd:Q215627): being that has certain capacities or attributes constituting per...od (avoid use with P31 [instance of]; use Q5 [human] for humans)

[Assistant]
The search results do not reveal any specific person or character known as "the last Egyptian." The results are generic (e.g., "Egyptian person," "Ancient Egyptian person") or refer to the language or organizations.

Given this, it appears that Wikidata does not have a person or character explicitly identified as "the last Egyptian." Therefore, I cannot provide a country for such an entity.

I will now finalize this with a clear explanation and a SPARQL query that demonstrates the absence of such an entity.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system's explanation is correct. There is no entity in Wikidata explicitly labeled as 'the last Egyptian' that refers to a person or character, and the SPARQL query reasonably attempts to find such an entity. Since no results are found, the answer is accurate and complete in its current form.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?director WHERE {
  wd:Q1557461 wdt:P57 ?director
}

The film 'Kishen Kanhaiya' was directed by Rakesh Roshan (wd:Q1373377).

[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 directed the film kishen kanhaiya

[Assistant]
Let's break down the question:

1. The user is asking for the director of the film "Kishen Kanhaiya".
2. I need to identify the correct entity for the film "Kishen Kanhaiya" in Wikidata.
3. Then, I need to find the property for "director".
4. Finally, I will construct a SPARQL query to return the director(s) of the film.

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

[Tool]
Top 10 entity alternatives:
1. Kishen Kanhaiya (wd:Q1557461): 1990 film directed by Rakesh Roshan
2. Krishna, also known as Krishnachandra, Krishnakanta, Krishnadeva, Keshav, Kishore (wd:Q42891): major deity in Hinduism, worshipped as the eighth avatar of Vishnu and also as the Supreme god in his own right, religious leader, cattle rancher, philosopher
3. Kanhaiya (wd:Q3419910): 1959 film by Om Prakash
4. Kishen (wd:Q125803120)
5. Kishen (wd:Q107387705): biographical article in Eminent Chinese of the Ch'ing Period
6. Kishen (wd:Q108685860): given name
7. Kishenji, also known as Koteshwar Rao (wd:Q3501481): maoist terrorist (1954-2011), politician
8. Maharaja Sir Kishen Pershad, also known as Kishen Prasad, Maharaja Sir Kishen Pershad Bahadur Yamin us-Sultanat, Kishen Pershad, Kishan Pershad (wd:Q1491423): Prime Minister of Hyderabad (1864-1940), politician, poet
9. Jai Kishen (wd:Q6123413): 1994 film by Sunil Agnihotri
10. Kanhaiyalal (wd:Q15924272): Indian actor, film actor, actor

[Assistant]
The top result "Kishen Kanhaiya" (wd:Q1557461) is the 1990 film directed by Rakesh Roshan, which matches the user's query.

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

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person who manages any kind of group, significant person
2. director, also known as film director, movie director, game director, directed by (wd:P57 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
3. editor-in-chief, also known as lead editor, managing editor, executive editor, editor in chief, directed by (wd:P5769 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): a publication's editorial leader who has final responsibility fo...publishing articles or books in collections or periodical papers
4. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): position of the head of this item
5. creative director (wd:P12617 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person responsible for the overall artistic vision of an organization and for its execution. See also P3174 for works., director / manager
8. art director, also known as artistic director (wd:P3174 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person credited as the art director/artistic director of this wo... designers, lighting designers; See also P8938 for organizations
9. director of photography, also known as cinematographer, DOP (wd:P344 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person responsible for the framing, lighting, and filtration of the subject work, film crew member
10. director of archaeological fieldwork, also known as dig director, director of excavations, excavation director (wd:P4345 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person leading the archaeological or anthropological investigation at a given site, significant person

[Assistant]
The correct property for "director" of a film is wd:P57.

Now, I will construct a SPARQL query to find the director(s) of the film "Kishen Kanhaiya" (wd:Q1557461) using the property "director" (wd:P57). I will also include optional labels for readability.

[Tool]
Got 1 row and 2 columns:
| director                    | directorLabel      |
| --------------------------- | ------------------ |
| Rakesh Roshan (wd:Q1373377) | Rakesh Roshan (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query directly retrieves the director of the film 'Kishen Kanhaiya' (wd:Q1557461) using the correct property (wdt:P57). The answer is correct and complete, and the query follows all the required guidelines, including returning the IRI of the director. 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 ?person ?personLabel WHERE {
  ?person wdt:P509 wd:Q12152 .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( lang( ?personLabel ) = "en" )
  }
}
LIMIT 50

Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                               | personLabel                |
| ------------------------------------ | -------------------------- |
| Edouard Elias Kaufer (wd:Q100271101) | Edouard Elias Kaufer (en)  |
| Chela Nájera (wd:Q100453222)         | Chela Nájera (en)          |
| Maude Brockway (wd:Q100493574)       | Maude Brockway (en)        |
| Emil Freitag (wd:Q100580689)         | Emil Freitag (en)          |
| Libero De Rienzo (wd:Q1006624)       | Libero De Rienzo (en)      |
| ...                                  | ...                        |
| James Eugene Greer (wd:Q102251854)   | James Eugene Greer (en)    |
| Omar Gamae (wd:Q102256607)           | Omar Gamae (en)            |
| Kazimierz Głuchowski (wd:Q102260596) | Kazimierz Głuchowski (en)  |
| Christian B. Anfinsen (wd:Q102278)   | Christian B. Anfinsen (en) |
| Buckminster Fuller (wd:Q102289)      | Buckminster Fuller (en)    |

Some people whose death was caused by myocardial infarction (heart attack) include Edouard Elias Kaufer, Chela Nájera, Maude Brockway, Emil Freitag, Libero De Rienzo, Christian B. Anfinsen, and Buckminster Fuller. The full list can be obtained from the query.

[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] Whose death was caused by myocardial infarction?

[Assistant]
Let's break down the question:

1. We are looking for people whose death was caused by "myocardial infarction".
2. We need to identify the entity for "myocardial infarction" in Wikidata.
3. We need to find the property that links a person to their cause of death.

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

[Tool]
Top 10 entity alternatives:
1. myocardial infarction, also known as acute myocardial infarction, heart attack, infarctus myocardii acutus, MI, myocardial infarct (wd:Q12152): interruption of blood supply to a part of the heart
2. heart attack, also known as myocardial infarction (wd:Q11490616): broad category covering multiple specific conditions
3. MYOCARDIAL INFARCTION (wd:Q93944536): scientific article
4. MYOCARDIAL INFARCTION. (wd:Q53040494): scientific article published in September 1964
5. MYOCARDIAL INFARCTION. (wd:Q55309159): scientific article
6. MYOCARDIAL INFARCTION (wd:Q93944515)
7. [Myocardial infarction.] (wd:Q75810990): scientific article published on 01 June 1951
8. [Myocardial infarction.] (wd:Q76243724): scientific article published on 01 February 1952
9. [Myocardial infarction] (wd:Q67987244): scientific article published on 01 January 1991
10. [Myocardial infarction] (wd:Q68959198): scientific article published on 01 January 1973

[Assistant]
The main entity for "myocardial infarction" (heart attack) is wd:Q12152.

Next, I need to find the property that links a person to their cause of death. I'll search for properties related to "cause of death".

[Tool]
Top 10 property alternatives:
1. 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
2. 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.
3. 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
4. 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
5. 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
6. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
7. death rate, also known as mortality rate (wd:P10091 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): the total number of persons dead per 1,000 population per year
8. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person or organization who killed the subject, significant person
9. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): effect of this item, followed by
10. category for deaths in this time period (wd:P12687 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): category item for people who died in this time period, point in time

[Assistant]
The most relevant property is "cause of death" (wd:P509).

Now, I will construct a SPARQL query to find people whose cause of death (wd:P509) is myocardial infarction (wd:Q12152). I will also try to include optional labels for easier interpretation.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| person                               | personLabel                |
| ------------------------------------ | -------------------------- |
| Edouard Elias Kaufer (wd:Q100271101) | Edouard Elias Kaufer (en)  |
| Chela Nájera (wd:Q100453222)         | Chela Nájera (en)          |
| Maude Brockway (wd:Q100493574)       | Maude Brockway (en)        |
| Emil Freitag (wd:Q100580689)         | Emil Freitag (en)          |
| Libero De Rienzo (wd:Q1006624)       | Libero De Rienzo (en)      |
| ...                                  | ...                        |
| James Eugene Greer (wd:Q102251854)   | James Eugene Greer (en)    |
| Omar Gamae (wd:Q102256607)           | Omar Gamae (en)            |
| Kazimierz Głuchowski (wd:Q102260596) | Kazimierz Głuchowski (en)  |
| Christian B. Anfinsen (wd:Q102278)   | Christian B. Anfinsen (en) |
| Buckminster Fuller (wd:Q102289)      | Buckminster Fuller (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves people whose cause of death was myocardial infarction (wd:Q12152) using the appropriate property (wdt:P509). It returns the IRIs of the persons and optionally their English labels, following the rules for SPARQL queries. The answer is accurate and the query is complete for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q1779938 wdt:P364 ?language
}

The primary language used in the film 'Alice's Restaurant' is English (wd:Q1860).

[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] which language is primarily used in alice's restaurant

[Assistant]
Let's break down the question:

1. "Alice's Restaurant" likely refers to a film, song, or other work. We need to identify the correct entity in Wikidata.
2. We are being asked for the primary language used in this work.

First, I will search for "Alice's Restaurant" in Wikidata to identify the correct entity.

[Tool]
Top 10 entity alternatives:
1. Alice's Restaurant (wd:Q1779938): 1969 film directed by Arthur Penn
2. Alice's Restaurant (wd:Q1056843): song written by Arlo Guthrie
3. Alice's Restaurant (wd:Q4725691): album by Arlo Guthrie
4. Alice's Restaurant – The Massacree Revisited (wd:Q4725682): 1996 live album by Arlo Guthrie
5. restaurant, also known as eateries, eatery, eating house, eating houses, restaurants (wd:Q11707): single establishment which prepares and serves food, located in building
6. inn, also known as restaurant (wd:Q256020): establishment providing lodging, food and drink
7. Restaurant (wd:Q246400): magazine
8. automated restaurant, also known as restaurant, robotic restaurant (wd:Q4826473): A restaurant that uses robots to perform certain tasks instead of humans
9. Restaurant (wd:Q7316079): 1998 film by Eric Bross
10. .restaurant (wd:Q20576220): top-level domain

[Assistant]
There are multiple entities for "Alice's Restaurant" in Wikidata:
- The 1969 film (wd:Q1779938)
- The song by Arlo Guthrie (wd:Q1056843)
- The album by Arlo Guthrie (wd:Q4725691)

Since the question does not specify, but "language primarily used" is most commonly asked about a film or song, I will focus on the 1969 film (wd:Q1779938), as it is the most likely candidate.

Next, I will search for the property that indicates the language of a film.

[Tool]
Top 10 property alternatives:
1. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as wdt/p): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
2. 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)
3. 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
4. color, also known as with the colour, with the color, pigment, of the colour, of the color (wd:P462 as wdt/p): color of subject
5. 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
6. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdt/p): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
7. 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
8. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as wdt/p): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
9. film editor, also known as edited by, editing by, editor (wd:P1040 as wdt/p): person who works with the raw footage, selecting shots and combining them into sequences to create a finished motion picture, film crew member
10. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name

No other items found

[Assistant]
The relevant property for the language of a film is "original language of film or TV show" (wdt:P364).

Now, I will write a SPARQL query to retrieve the primary/original language of the film "Alice's Restaurant" (wd:Q1779938).

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the primary language (wd:P364) of the film 'Alice's Restaurant' (wd:Q1779938) from Wikidata. The answer matches the expected result, and the query returns the identifier as required. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre WHERE {
  wd:Q483718 wdt:P136 ?genre
}

Foo Fighters produce the following genres of music: alternative rock, post-grunge, and hard rock.

[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] Foo Fighters produce what genre of music?

[Assistant]
Let's break down the question:

1. The entity is "Foo Fighters," which is a band.
2. The property we are interested in is the genre of music they produce.

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

[Tool]
Top 10 entity alternatives:
1. Foo Fighters (wd:Q483718): American rock band
2. Foo Fighters (wd:Q735771): 1995 self-titled debut album by Foo Fighters
3. Foo Fighters (wd:Q110062110): manga character
4. Food Fighters (wd:Q3747528): Mattel series of action figures
5. Food Fighters (wd:Q18150021): American cooking competition TV series
6. UK Foo Fighters (wd:Q111009576): foo Fighters Tribute Band
7. Food Fighters (wd:Q124840651): episode of Talia in the Kitchen (S1 E32)
8. Foo Fighters: Sonic Highways (wd:Q18336007): television show
9. Food for Fighters (wd:Q5465471): 1943 film
10. The Essential Foo Fighters (wd:Q115818883): 2022 album by Foo Fighters

[Assistant]
The correct entity for the band Foo Fighters is wd:Q483718.

Next, I need to find the property that relates a musical artist to their genre. I will search for properties related to "genre."

[Tool]
Top 10 property alternatives:
1. radio format, also known as format, radio station format, genre (wd:P415 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): describes the overall content broadcast on a radio station
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): structure of a creative work
5. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): identifier of a music genre, style, or scene on the Every Noise at Once website
6. MusicBrainz genre ID, also known as MB genre ID (wd:P8052 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): identifier for a genre on the MusicBrainz open music encyclopedia
7. for color scheme, also known as color mode, uses colour scheme, uses color scheme, theme, prefers colour scheme (wd:P8798 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): which color scheme this statement is designed for
8. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
9. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): primary topic of a work (see also P180: depicts), depicts
10. AllMusic genre/style ID, also known as AllMusic style identifier, AllMusic theme identifier, AllMusic theme ID, AllMusic style ID, AllMusic style/genre ID (wd:P9185 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): ID of a music genre or style in AllMusic

[Assistant]
The most relevant property for genre is "genre" (wd:P136).

Now, I will construct a SPARQL query to find the genres associated with the Foo Fighters (wd:Q483718) using the property "genre" (wdt:P136). I will also try to get the labels for the genres for better readability.

[Tool]
Got 3 rows and 2 columns:
| genre                        | genreLabel            |
| ---------------------------- | --------------------- |
| alternative rock (wd:Q11366) | alternative rock (en) |
| post-grunge (wd:Q379671)     | post-grunge (en)      |
| hard rock (wd:Q83270)        | hard rock (en)        |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the genres associated with Foo Fighters using the appropriate entity (wd:Q483718) and property (wdt:P136 for genre). The answer accurately reflects the query results, listing the genres as alternative rock, post-grunge, and hard rock. The query returns the IRIs of the genres as required. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q2680157 wdt:P364 ?language
}

Aakrosh (the 1980 film) is spoken in Hindi.

[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] which asian language is aakrosh spoken in?

[Assistant]
Let's break down the question:

1. "Aakrosh" could refer to a film, a work, or possibly a language or dialect itself. However, the question asks "which Asian language is Aakrosh spoken in?", suggesting "Aakrosh" is likely a work (such as a movie or play) and the question is about the language used in it.
2. I need to identify what "Aakrosh" refers to in Wikidata, then find the language it is associated with.

First, I will search for "Aakrosh" as an entity in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Aakrosh (wd:Q2680157): 1980 film by Govind Nihalani
2. Aakrosh (wd:Q4661356): 2010 film by Priyadarshan
3. Aakrosh (wd:Q4661353): 1998 film
4. Aakrosham (wd:Q18377847): 1982 film by A. B. Raj
5. Aakrosh Ratan (wd:Q32634898): researcher
6. Aakrosh Ratan (wd:Q102439813): Ph.D. The Pennsylvania State University 2009
7. Aakrosh Ratan (wd:Q83307285): researcher

[Assistant]
The search results show that "Aakrosh" most commonly refers to films, specifically:
- Aakrosh (1980 film) (wd:Q2680157)
- Aakrosh (2010 film) (wd:Q4661356)
- Aakrosh (1998 film) (wd:Q4661353)

Since the question is about the language "Aakrosh" is spoken in, and the most notable "Aakrosh" is the 1980 film by Govind Nihalani, I will focus on that entity (wd:Q2680157).

Next, I need to find the language spoken in this film. I will look for properties related to "language" for this entity.

[Tool]
Top 10 property alternatives:
1. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as wdt/p): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
2. 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)
3. 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
4. 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
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as wdt/p): company that produced this film, audio or performing arts work
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. 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
9. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as wdt/p): person(s) who wrote the script for subject item, film crew member, author
10. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt/p): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator

No other items found

[Tool]
Got 1 row and 3 columns:
| subject               | property                                        | object           |
| --------------------- | ----------------------------------------------- | ---------------- |
| Aakrosh (wd:Q2680157) | original language of film or TV show (wdt:P364) | Hindi (wd:Q1568) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer is correct and complete. The SPARQL query directly retrieves the language (wd:P364) of the film 'Aakrosh' (wd:Q2680157), and the result is Hindi (wd:Q1568), which is an Asian language. The query returns the IRI as required, and the answer matches the user's question. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?genre WHERE {
  wd:Q6312400 wdt:P136 ?genre
}

The genre of the film 'June R' is drama film (wd:Q130232).

[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 genre of the film june r

[Assistant]
Let's break down the question:

1. The user is asking for the genre of the film "June R".
2. First, I need to identify the correct entity for the film "June R" in Wikidata.
3. Then, I need to find the property that links a film to its genre.
4. Finally, I will construct a SPARQL query to retrieve the genre(s) of "June R".

Step 1: Search for the entity "June R" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. June R (wd:Q6312400): 2006 Tamil film directed by Revathy S. Varmha
2. Ray June (wd:Q2133917): American cinematographer (1895–1958), cinematographer
3. June Rowlands (wd:Q530042): Canadian mayor (1924-2017), politician
4. June Richmond (wd:Q1263824): American singer (1915–1962), jazz musician, film actor, singer
5. June Ritchie (wd:Q6312408): British actress, film actor, actor
6. June Raine, also known as Dr June Raine, June Munro Raine, June Munro Harris, Dame June Munro Raine (wd:Q103410279): chief executive of the MHRA, business executive
7. June Revolution (wd:Q116030246): 1924 revolt in Albania
8. June Rain (wd:Q22929229): book by Jabbour Douaihy
9. Runaway June (wd:Q10365381): 1915 film by Oscar Eagle
10. June Ravenhall (wd:Q6312402): British Hero of the Holocaust

[Assistant]
The most relevant entity for the film "June R" is wd:Q6312400, which is described as a 2006 Tamil film directed by Revathy S. Varmha.

Next, I need to find the property in Wikidata that links a film to its genre. I will search for properties related to "genre".

[Tool]
Top 10 property alternatives:
1. radio format, also known as format, radio station format, genre (wd:P415 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): describes the overall content broadcast on a radio station
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): structure of a creative work
5. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): identifier of a music genre, style, or scene on the Every Noise at Once website
6. MusicBrainz genre ID, also known as MB genre ID (wd:P8052 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): identifier for a genre on the MusicBrainz open music encyclopedia
7. for color scheme, also known as color mode, uses colour scheme, uses color scheme, theme, prefers colour scheme (wd:P8798 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): which color scheme this statement is designed for
8. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
9. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): primary topic of a work (see also P180: depicts), depicts
10. AllMusic genre/style ID, also known as AllMusic style identifier, AllMusic theme identifier, AllMusic theme ID, AllMusic style ID, AllMusic style/genre ID (wd:P9185 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): ID of a music genre or style in AllMusic

[Assistant]
The property "genre" (wd:P136) is the correct one to use for linking a film to its genre.

Now, I will construct a SPARQL query to retrieve the genre(s) of the film "June R" (wd:Q6312400) using the property "genre" (wd:P136). I will also try to retrieve the label of the genre for better readability.

[Tool]
Got 1 row and 2 columns:
| genre                   | genreLabel      |
| ----------------------- | --------------- |
| drama film (wd:Q130232) | drama film (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and directly answers the user's question by retrieving the genre (wdt:P136) of the film 'June R' (wd:Q6312400). The result is accurate and the answer is clearly presented. 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 ?film ?filmLabel WHERE {
  ?film wdt:P272 wd:Q6070740 .
  ?film wdt:P31 wd:Q11424 .
  OPTIONAL {
    ?film rdfs:label ?filmLabel FILTER ( lang( ?filmLabel ) = "en" )
  }
}

Got 21 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                         | filmLabel                            |
| -------------------------------------------- | ------------------------------------ |
| Wolf (wd:Q101078012)                         | Wolf (en)                            |
| Nocebo (wd:Q105905540)                       | Nocebo (en)                          |
| The Wonder (wd:Q113331181)                   | The Wonder (en)                      |
| Eliot & Me (wd:Q12117499)                    | Eliot & Me (en)                      |
| Fréwaka (wd:Q130487629)                      | Fréwaka (en)                         |
| ...                                          | ...                                  |
| Parked (wd:Q7138240)                         | Parked (en)                          |
| Reefer and the Model (wd:Q7306822)           | Reefer and the Model (en)            |
| Trouble with Sex (wd:Q7846477)               | Trouble with Sex (en)                |
| The Wind That Shakes the Barley (wd:Q827106) | The Wind That Shakes the Barley (en) |
| Bloody Sunday (wd:Q885302)                   | Bloody Sunday (en)                   |

Here are films produced by the Irish Film Board (Screen Ireland), including their IRIs and English labels where available.

[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 film did the irish film board produce

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Irish Film Board".
2. We need to find the property that links a film to its producer or production company.
3. Then, we need to query for films produced by the Irish Film Board.

First, I'll search for the entity "Irish Film Board" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Screen Ireland, also known as Irish Film Board, Screen Ireland / Fís Éireann, Bord Scannan na Heireann (wd:Q6070740): organization
2. Irish Film Board Act, 1980, also known as Irish Film Board Act 1980 (wd:Q100398792): Act of the Oireachtas No. 36 of 1980
3. Irish Film Board (Amendment) Act, 1993, also known as Irish Film Board (Amendment) Act 1993 (wd:Q100399284): Act of the Oireachtas No. 36 of 1993
4. Irish Film Board (Amendment) Act, 1997, also known as Irish Film Board (Amendment) Act 1997 (wd:Q100399452): Act of the Oireachtas No. 44 of 1997
5. Irish Film Board (Amendment) Act, 2000, also known as Irish Film Board (Amendment) Act 2000 (wd:Q100399581): Act of the Oireachtas No. 35 of 2000
6. Irish Film Board (Amendment) Act, 2006, also known as Irish Film Board (Amendment) Act 2006 (wd:Q100399838): Act of the Oireachtas No. 38 of 2006
7. Irish Film Board (Amendment) Act, 2011, also known as Irish Film Board (Amendment) Act 2011 (wd:Q100400025): Act of the Oireachtas No. 32 of 2011
8. Irish Film Board (Amendment) Act, 2018, also known as Irish Film Board (Amendment) Act 2018 (wd:Q100400359): Act of the Oireachtas No. 34 of 2018
9. Irish Film Board (Establishment Day) Order, 1981 (wd:Q100575253): Irish Statutory Instrument S.I. No. 282/1981
10. National Film Board of Canada, also known as ONF-NFB, ONF, Office national du film du Canada, NFB-ONF, Office national du film (wd:Q1530721): Canada's public film and digital media producer and distributor

[Assistant]
The correct entity for the Irish Film Board is "Screen Ireland" (wd:Q6070740), which is also known as the Irish Film Board.

Next, I need to find the property that links a film to its producer or production company. I'll search for properties related to "produced by" or "production company".

[Tool]
Top 10 property alternatives:
1. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): company that produced this film, audio or performing arts work
2. working title, also known as code name, codename, production name, production title, working name (wd:P1638 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): temporary name of a product or project used during its development
3. produced by, also known as secreted by (wd:P2849 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): links a class of biological features (such as a biochemical compound) with another class of biological entities known to produce it, has immediate cause
4. manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): (main or final) manufacturer or producer of this product
5. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
6. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
7. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): place where the item was conceived or made; where applicable, location of final assembly, significant place
8. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, producer of (wd:P1056 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
9. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
10. created for, also known as cause of creation, commissioned for, made for, occasion, on the occasion of (wd:P9883 as psv/p/wdtn/prv/psn/wdt/pq/ps/prn/pqn/pqv/pr): a work, event, etc. for which the subject work was created (e.g.... play was created for; a film that a screenplay was written for)

[Assistant]
The most relevant property for linking a film to its production company is "production company" (wd:P272).

Now, I will construct a SPARQL query to find films (instances of "film") where the production company is the Irish Film Board (Screen Ireland, wd:Q6070740). I will also try to include optional labels for the films.

Let's build and execute this query.

[Tool]
Got 21 rows and 2 columns, showing the first 5 and last 5 rows below:
| film                                         | filmLabel                            |
| -------------------------------------------- | ------------------------------------ |
| Wolf (wd:Q101078012)                         | Wolf (en)                            |
| Nocebo (wd:Q105905540)                       | Nocebo (en)                          |
| The Wonder (wd:Q113331181)                   | The Wonder (en)                      |
| Eliot & Me (wd:Q12117499)                    | Eliot & Me (en)                      |
| Fréwaka (wd:Q130487629)                      | Fréwaka (en)                         |
| ...                                          | ...                                  |
| Parked (wd:Q7138240)                         | Parked (en)                          |
| Reefer and the Model (wd:Q7306822)           | Reefer and the Model (en)            |
| Trouble with Sex (wd:Q7846477)               | Trouble with Sex (en)                |
| The Wind That Shakes the Barley (wd:Q827106) | The Wind That Shakes the Barley (en) |
| Bloody Sunday (wd:Q885302)                   | Bloody Sunday (en)                   |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies films produced by the Irish Film Board (Screen Ireland) by filtering for items with production company (P272) as the Irish Film Board (Q6070740) and instance of (P31) film (Q11424). However, the query only returns the film IRIs and does not include their labels, which would be more user-friendly. To improve the output, add an OPTIONAL clause to retrieve the rdfs:label for each film. This will make the results more readable and useful for users.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves films (wd:Q11424) produced by the Irish Film Board (wd:Q6070740) using the 'production company' property (wd:P272). It returns the IRIs of the films and optionally their English labels, as requested. The answer is complete and follows all the specified rules. No further refinement is needed.