PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q1286876 wdt:P1412 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| ?language          | ?languageLabel |
| ------------------ | -------------- |
| English (wd:Q1860) | English        |
| Maltese (wd:Q9166) | Maltese        |

The Maltese people speak two languages: Maltese and English.

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

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

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

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

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

[User] what language do maltese speak?

[Assistant]
To answer the question "What language do Maltese speak?" I need to identify the entity "Maltese" which refers to the people of Malta, and then find the language(s) they speak.

Step 1: Search for the entity "Maltese" to identify the correct entity representing the Maltese people.

[Tool]
Top 10 entity alternatives:
1. Maltese, also known as Il-lingwa Maltija, lingwa Maltija, Maltese language, mt (wd:Q9166): Semitic language spoken mostly in Malta
2. Maltese, also known as Maltese dog, Maltese terrier (wd:Q38751): dog breed in the toy group
3. Maltese people, also known as Maltese (wd:Q1286876): citizens or residents of Malta
4. Francesco Maltese, also known as Francesco Fioravanti, Francesco (genaamd Il Maltese) Fieravino, Francesco Il Maltese, Francesco Noletti, Il Maltese (wd:Q3081040): Maltese painter (c.1610-1654), painter
5. Maltese, also known as Maltese goat (wd:Q6744778): goat breed
6. Maltese, also known as Leghorn Runt, Burmese Pigeon (wd:Q7780553): pigeon breed
7. Maltese (wd:Q12238320)
8. Maltese (wd:Q117189264)
9. Maltese (wd:Q57477693)
10. Maltese (wd:L35277-F2)

[Assistant] The entity "Maltese people" is represented by wd:Q1286876. Now I need to find the language(s) spoken by the Maltese people. I will search for properties related to language spoken for the entity wd:Q1286876.

[Tool]
Top 10 property alternatives:
1. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. 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
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. FAST ID, also known as Faceted Application of Subject Terminology ID, FAST subject heading, fst, worldcat.org/fast (wd:P2163 as wdt/wdtn/p): authority control identifier in WorldCat's “FAST Linked Data” authority file
10. 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)

No other items found

[Assistant] The property "languages spoken, written or signed" (wdt:P1412) is the relevant property for the language(s) spoken by the Maltese people. Now I will write a SPARQL query to get the languages spoken by the Maltese people (wd:Q1286876).

[Tool]
Got 2 rows and 2 columns:
| ?language          | ?languageLabel |
| ------------------ | -------------- |
| English (wd:Q1860) | English        |
| Maltese (wd:Q9166) | Maltese        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?origin ?originLabel WHERE {
  wd:Q8216 wdt:P144 ?origin .
  OPTIONAL {
    ?origin rdfs:label ?originLabel FILTER ( LANG( ?originLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?origin                       | ?originLabel      |
| ----------------------------- | ----------------- |
| Phoenician script (wd:Q26752) | Phoenician script |

The Greek alphabet originated from the Phoenician script.

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

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

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

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

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

[User] where did the greek alphabet come from?

[Assistant]
The user question is about the origin of the Greek alphabet. To answer this, I need to find information about the Greek alphabet and its origin or source. This likely involves finding the entity for the Greek alphabet and then finding properties or statements related to its origin or derivation.

Step 1: Search for the entity "Greek alphabet" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Greek alphabet, also known as Greek script, Greek (wd:Q8216): script used to write the Greek language
2. history of the Greek alphabet, also known as Greek alphabet history, the Greek alphabet history (wd:Q2627294): aspect of history
3. Greek Albanian alphabet (wd:Q3305475): Greek alphabet adapted for writing the Albanian language
4. Greek spelling alphabet (wd:Q17003959): spelling alphabet for Greek letters
5. extended greek alphabet (wd:Q3237041)
6. ancient Greek alphabet, also known as archaic Greek alphabet (wd:Q3611036): writing system
7. archaic Greek alphabets (wd:Q2839562): Local variants of the ancient Greek alphabet
8. Inscriptions in Greek Alphabet (wd:Q106814193): drawing - Sir Robert Smirke the younger (YCBA B1977.14.581)
9. Inscriptions in Greek Alphabet (wd:Q106814190): drawing - Sir Robert Smirke the younger
10. Ancient Inscriptions in Greek Alphabet (wd:Q106812515): drawing - Sir Robert Smirke the younger

[Assistant]
The entity "Greek alphabet" is wd:Q8216. Now I want to find properties or statements related to the origin or source of the Greek alphabet. Common properties for origin or source might be "derived from" or "origin" or "influenced by."

Step 2: Search for properties related to the Greek alphabet entity with keywords like "origin," "source," or "derived from."

[Tool]
Top 10 property alternatives:
1. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as p/wdt): place where the item was conceived or made; where applicable, location of final assembly, significant place
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
3. 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
4. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
6. 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)
7. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))

No other items found

[Assistant] The property "based on" (wdt:P144) seems relevant as it indicates what the Greek alphabet might be modeled after or derived from. I will now query the Greek alphabet entity for the "based on" property to find its origin or source.

[Tool]
Got 1 row and 2 columns:
| ?origin                       | ?originLabel      |
| ----------------------------- | ----------------- |
| Phoenician script (wd:Q26752) | Phoenician script |

[Assistant]
The Greek alphabet (wd:Q8216) is based on the Phoenician script (wd:Q26752). This indicates that the Greek alphabet originated from or was derived from the Phoenician script.

I will now provide the final answer with this information.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie ?movieLabel WHERE {
  ?movie wdt:P161 wd:Q6107 .
  ?movie wdt:P31 wd:Q11424 .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( LANG( ?movieLabel ) = "en" )
  }
}

Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                                           | ?movieLabel                       |
| ------------------------------------------------ | --------------------------------- |
| Thug Angel: The Life of an Outlaw (wd:Q11704796) | Thug Angel: The Life of an Outlaw |
| Poetic Justice (wd:Q1537562)                     | Poetic Justice                    |
| Straight Outta Compton (wd:Q18154625)            | Straight Outta Compton            |
| Above the Rim (wd:Q2128630)                      | Above the Rim                     |
| Biggie & Tupac (wd:Q2451402)                     | Biggie & Tupac                    |
| ...                                              | ...                               |
| Juice (wd:Q642419)                               | Juice                             |
| Tupac: Resurrection (wd:Q749899)                 | Tupac: Resurrection               |
| Tupac: Assassination (wd:Q7853467)               | Tupac: Assassination              |
| Bullet (wd:Q911823)                              | Bullet                            |
| Gridlock'd (wd:Q951966)                          | Gridlock'd                        |

Tupac starred in the following movies: Thug Angel: The Life of an Outlaw, Poetic Justice, Straight Outta Compton, Above the Rim, Biggie & Tupac, Juice, Tupac: Resurrection, Tupac: Assassination, Bullet, and Gridlock'd.

[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 movies did tupac star in?

[Assistant] To answer the question "What movies did Tupac star in?", I will first search for the entity "Tupac" in Wikidata to identify the correct entity representing Tupac Shakur. Then, I will look for properties related to movies or films in which he starred. Finally, I will construct a SPARQL query to retrieve the movies in which Tupac starred.

[Tool]
Top 10 entity alternatives:
1. Tupac Shakur, also known as Tupac, Tupac Amaru Shakur, Makaveli, Tupac Omar Shakur, Lesane Crooks (wd:Q6107): American rapper (1971–1996), television actor, songwriter, film actor, lyricist, activist, writer, singer, rapper, actor, poet
2. Tupaç (wd:Q13207507): human settlement in Minzälä District, Tatarstan
3. Tupac (wd:Q56694162): given name
4. tupać (wd:Q109124857): entry of Polish etymological dictionary
5. Tupac (wd:Q19694412): Argentine supercomputer
6. Tupac (wd:Q131322757)
7. Túpac, also known as Túpac (family name), Túpac (surname) (wd:Q110874391): family name
8. Tupac (wd:Q37768448)
9. Tupac (wd:Q91876227): 2019 audio track by DaBaby
10. Tupac, also known as "They Got Money for War but Can't Feed the Poor" (wd:Q115681771): Painted electrical in Roxbury, Massachusetts

[Assistant] The entity representing Tupac Shakur is wd:Q6107. Now I will search for properties related to movies or films in which Tupac starred. I will look for properties related to acting or starring in movies for this entity.

[Tool]
Top 10 property alternatives:
1. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
4. Douban movie celebrity ID, also known as https://movie.douban.com/celebrity, https://movie.douban.com, https://m.douban.com, Douban person ID, douban.com person ID (wd:P5284 as wdt/p): identifier for a celebrity at the Douban movie website
5. Cinematografo.it name or company ID (new), also known as CineDataBase cast ID, Cinematografo.it cast ID (new) (wd:P11345 as p/wdt): Cinematografo.it name or company ID
6. TMDB person ID, also known as TMDb person identifier, the movie db person id, themoviedb.org person identifier, themoviedb.org person ID, The Movie Database person identifier (wd:P4985 as p/wdt): identifier for a person at The Movie Database
7. MYmovies actor ID (former scheme), also known as MYmovies.it actor ID (wd:P4779 as wdt/p): identifier for an actor in MYmovies.it
8. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
9. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as wdt/p): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
10. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name

No other items found

[Assistant] The search for properties related to "starred in" for Tupac Shakur did not return a direct property indicating movies he starred in. However, I can use the property "cast member" (P161) which is commonly used to indicate actors in films. I will construct a query to find movies where Tupac Shakur (wd:Q6107) is listed as a cast member.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                                           | ?movieLabel                       |
| ------------------------------------------------ | --------------------------------- |
| Thug Angel: The Life of an Outlaw (wd:Q11704796) | Thug Angel: The Life of an Outlaw |
| Poetic Justice (wd:Q1537562)                     | Poetic Justice                    |
| Straight Outta Compton (wd:Q18154625)            | Straight Outta Compton            |
| Above the Rim (wd:Q2128630)                      | Above the Rim                     |
| Biggie & Tupac (wd:Q2451402)                     | Biggie & Tupac                    |
| ...                                              | ...                               |
| Juice (wd:Q642419)                               | Juice                             |
| Tupac: Resurrection (wd:Q749899)                 | Tupac: Resurrection               |
| Tupac: Assassination (wd:Q7853467)               | Tupac: Assassination              |
| Bullet (wd:Q911823)                              | Bullet                            |
| Gridlock'd (wd:Q951966)                          | Gridlock'd                        |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie ?movieLabel WHERE {
  ?movie wdt:P161 wd:Q169982 .
  ?movie wdt:P31 wd:Q11424 .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( LANG( ?movieLabel ) = "en" )
  }
}
LIMIT 100

Got 49 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                            | ?movieLabel          |
| --------------------------------- | -------------------- |
| Fast Food (wd:Q10280250)          | Fast Food            |
| Copshop (wd:Q103822078)           | Copshop              |
| Plane (wd:Q108131599)             | Plane                |
| Kandahar (wd:Q111940088)          | Kandahar             |
| Last Seen Alive (wd:Q112343991)   | Last Seen Alive      |
| ...                               | ...                  |
| The Ugly Truth (wd:Q922630)       | The Ugly Truth       |
| Reign of Fire (wd:Q925384)        | Reign of Fire        |
| Gamer (wd:Q947885)                | Gamer                |
| Law Abiding Citizen (wd:Q951071)  | Law Abiding Citizen  |
| Butterfly on a Wheel (wd:Q967489) | Butterfly on a Wheel |

Gerard Butler has been in movies such as Fast Food, Copshop, Plane, Kandahar, Last Seen Alive, The Ugly Truth, Reign of Fire, Gamer, Law Abiding Citizen, and Butterfly on a Wheel, among others.

[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 movies gerard butler has been in?

[Assistant] To answer the question "What movies Gerard Butler has been in?", I will first search for the entity "Gerard Butler" in the knowledge graph to get his identifier. Then, I will find the property that links a person to movies they have acted in. Finally, I will construct a SPARQL query to retrieve the movies Gerard Butler has been in.

[Tool]
Top 10 entity alternatives:
1. Gerard Butler, also known as Gerard James Butler (wd:Q169982): Scottish actor and film producer (born 1969), television actor, film producer, stage actor, film actor, lawyer, actor
2. Gerard A Butler (wd:Q11309355): horse trainer
3. Locky Butler, also known as Lochlann Gerard Butler (wd:Q125534277): Irish rugby union player, rugby union player
4. Gerard Butler/Shakira, also known as Saturday Night Live S35E4, Saturday Night Live, season 35 episode 4 (wd:Q110037076): episode of Saturday Night Live (S35 E4)
5. Michael Gerard Butler (wd:Q102340012): Ph.D. University of Michigan 1993
6. Butler, Edward Gerard (DNB00) (wd:Q19095193): entry in Dictionary of National Biography
7. James Robert Gerard Butler (wd:Q112436568): university teacher, economist
8. Gerard 't Hooft, also known as G. Hooft, Gerardus 't Hooft, Gerardus, G.W. 't Hooft, Hooft (wd:Q184592): Dutch theoretical physicist, theoretical physicist, university teacher, non-fiction writer, physicist, pedagogue, professor
9. Butler, also known as Butler, PA, Butler, Pennsylvania (wd:Q1017948): city and the county seat of Butler County, Pennsylvania, United States
10. Butler, also known as Butler, MO, Butler, Missouri (wd:Q955151): city in Missouri, United States

[Assistant] I found the entity for Gerard Butler as wd:Q169982, who is a Scottish actor and film producer. Next, I will search for the property that links an actor to the movies they have acted in. This property is likely related to "cast member" or "actor in". I will search for properties related to "actor" or "cast member" for this entity.

[Tool]
Top 10 property alternatives:
1. CineMagia person ID, also known as CineMagia actor ID, CineMagia actor identifier, CineMagia person identifier, Cinemagia.ro person ID, Cinemagia.ro person identifier (wd:P4666 as p/wdt): identifier for a person on the Cinemagia.ro website
2. Film.ru person ID, also known as Film.ru actor ID, Film.ru person identifier, Film.ru actor identifier, Film.ru director ID (wd:P10302 as p/wdt): identifier for people in the Russian film database on film.ru
3. filmography, also known as list of films with the person, list of films the person contributed to, list of films about the person (wd:P1283 as p/wdt): item for the list of films a person has contributed to. Don't us...mber" (P161) on items for films, directors with "director" (P57), list of works
4. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
6. Ivi person ID, also known as Ivi actor ID, Ivi.ru actor ID (wd:P11683 as p/wdt): ID of an actor on Ivi.ru
7. Cinematografo.it name or company ID (new), also known as CineDataBase cast ID, Cinematografo.it cast ID (new) (wd:P11345 as wdt/p): Cinematografo.it name or company ID
8. TMDB person ID, also known as TMDb person identifier, the movie db person id, themoviedb.org person identifier, themoviedb.org person ID, The Movie Database person identifier (wd:P4985 as wdt/p): identifier for a person at The Movie Database
9. Douban movie celebrity ID, also known as https://movie.douban.com/celebrity, https://movie.douban.com, https://m.douban.com, Douban person ID, douban.com person ID (wd:P5284 as wdt/p): identifier for a celebrity at the Douban movie website
10. Open Media Database person ID, also known as OMDb person ID, OMDb person identifier, Open Media Database person identifier (wd:P5534 as wdt/p): identifier for a person in the Open Media Database

No other items found

[Assistant] The search for properties related to "actor" for Gerard Butler did not directly return a property linking him to movies he acted in. However, I know from Wikidata's typical structure that the property "cast member" (wdt:P161) is used on movie items to indicate actors. So I will query for movies where Gerard Butler (wd:Q169982) is a cast member using the property wdt:P161. I will write a SPARQL query to find movies where Gerard Butler is listed as a cast member.

[Tool]
Got 49 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                            | ?movieLabel          |
| --------------------------------- | -------------------- |
| Fast Food (wd:Q10280250)          | Fast Food            |
| Copshop (wd:Q103822078)           | Copshop              |
| Plane (wd:Q108131599)             | Plane                |
| Kandahar (wd:Q111940088)          | Kandahar             |
| Last Seen Alive (wd:Q112343991)   | Last Seen Alive      |
| ...                               | ...                  |
| The Ugly Truth (wd:Q922630)       | The Ugly Truth       |
| Reign of Fire (wd:Q925384)        | Reign of Fire        |
| Gamer (wd:Q947885)                | Gamer                |
| Law Abiding Citizen (wd:Q951071)  | Law Abiding Citizen  |
| Butterfly on a Wheel (wd:Q967489) | Butterfly on a Wheel |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  wd:Q145 wdt:P37 | wdt:P2936 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?language                   | ?languageLabel  |
| --------------------------- | --------------- |
| Polari (wd:Q1359130)        | Polari          |
| Scots (wd:Q14549)           | Scots           |
| English (wd:Q1860)          | English         |
| Welsh Romani (wd:Q2097387)  | Welsh-Romani    |
| Cornish (wd:Q25289)         | Cornish         |
| ...                         | ...             |
| Scottish Cant (wd:Q3915671) | Scottish Cant   |
| Angloromani (wd:Q541279)    | Angloromani     |
| Irish (wd:Q9142)            | Irish           |
| Welsh (wd:Q9309)            | Welsh           |
| Scottish Gaelic (wd:Q9314)  | Scottish Gaelic |

The major languages spoken in the United Kingdom include English, Welsh, Scots, Scottish Gaelic, Irish, Polari, Welsh Romani, Scottish Cant, and Angloromani.

[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 are the major languages spoken in the united kingdom?

[Assistant]
To answer the question about the major languages spoken in the United Kingdom, I will first identify the entity for the United Kingdom in Wikidata. Then, I will look for properties related to languages spoken in that entity. Finally, I will retrieve the major languages spoken in the United Kingdom.

Step 1: Search for the entity "United Kingdom" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. United Kingdom, also known as U.K., UK, U. K., U K, United Kingdom of Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
2. United Kingdom, also known as U K, The United Kingdom of Great Britain and Northern Ireland, The UK, U. K., Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
3. United Kingdom of Great Britain and Ireland, also known as Great Britain and Ireland, UK, UKGBI, United Kingdom (wd:Q174193): historical sovereign state (1801–1922)
4. A United Kingdom, also known as United Kingdom (wd:Q21528200): 2016 film by Amma Asante
5. United Kingdom in the Eurovision Song Contest 2010, also known as United Kingdom (wd:Q974636)
6. United Kingdom (wd:Q108280869): 1989 studio album by American Music Club
7. Pedlars Act 1871, also known as Pedlars Act 1881, United Kingdom, (wd:Q55629342): 1871 United Kingdom of Great Britain and Ireland Act of Parliament 34 & 35 Vic c. 96
8. United Kingdom (wd:Q110577800): Manny Montes's single
9. United Kingdom (wd:Q7887906): album by Manny Montes
10. United Kingdom (wd:Q96412324)

[Assistant] The entity for the United Kingdom is wd:Q145. Next, I will search for properties related to languages spoken in the United Kingdom. I will look for properties that might indicate languages spoken or official languages.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject

No other items found

[Assistant] The properties "official language" (wdt:P37) and "language used" (wdt:P2936) seem relevant for languages spoken in the United Kingdom. I will now query the major languages spoken in the United Kingdom using these properties.

[Tool]
Got 13 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?language                   | ?languageLabel  |
| --------------------------- | --------------- |
| Polari (wd:Q1359130)        | Polari          |
| Scots (wd:Q14549)           | Scots           |
| English (wd:Q1860)          | English         |
| English (wd:Q1860)          | English         |
| Welsh Romani (wd:Q2097387)  | Welsh-Romani    |
| ...                         | ...             |
| Scottish Cant (wd:Q3915671) | Scottish Cant   |
| Angloromani (wd:Q541279)    | Angloromani     |
| Irish (wd:Q9142)            | Irish           |
| Welsh (wd:Q9309)            | Welsh           |
| Scottish Gaelic (wd:Q9314)  | Scottish Gaelic |

[Assistant] The major languages spoken in the United Kingdom include English, Welsh, Scots, Scottish Gaelic, Irish, Polari, Welsh Romani, Scottish Cant, and Angloromani. I will now provide the final answer with a SPARQL query that retrieves these languages.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?causeOfDeath ?causeOfDeathLabel WHERE {
  wd:Q40933 wdt:P509 ?causeOfDeath .
  OPTIONAL {
    ?causeOfDeath rdfs:label ?causeOfDeathLabel FILTER ( LANG( ?causeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?causeOfDeath                      | ?causeOfDeathLabel    |
| ---------------------------------- | --------------------- |
| cervix uterine cancer (wd:Q160105) | cervix uterine cancer |

Eva Peron died from cervix uterine cancer.

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

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

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

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

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

[User] what type of cancer did eva peron die from?

[Assistant] To answer the question about the type of cancer Eva Peron died from, I will first search for the entity "Eva Peron" in Wikidata to get her identifier. Then, I will look for the property related to the cause of death to find the specific type of cancer.

[Tool]
Top 10 entity alternatives:
1. Eva Perón, also known as Evita Perón, Maria Eva Duarte de Peron, Evita, María Eva Duarte de Perón, Maria Eva Duarte Peron (wd:Q40933): Argentine actress and politician (1919–1952), women's rights activist, trade unionist, stage actor, suffragist, politician, film actor
2. Eva Perón: The True Story, also known as Eva Peron, Eva Perón (wd:Q953441): 1996 film by Juan Carlos Desanzo
3. Fray Luis Beltrán, also known as Eva Perón, Eva Perón tanker, Fray Luis Beltrán tanker (wd:Q113059537): tanker
4. Eva Perón (wd:Q113030601): tanker
5. Hospital Lagomarsino, also known as Eva Perón (wd:Q5902632): hospital in Merlo, Buenos Aires
6. Uruguay, also known as Eva Perón (wd:Q113330807): 1951 passenger ship
7. Eva Perón (wd:Q47512378): painting by Boris Chaliapin
8. Estadio Eva Perón, also known as Estadio Eva Peron (wd:Q5400194): football stadium in Junín, Argentina
9. Puerto Eva Perón (wd:Q972928): ciudad en la provincia de Chaco, Argentina
10. Eva Perón Foundation (wd:Q2004004): former Argentine foundation

[Assistant] The entity for Eva Peron is wd:Q40933. Next, I will search for the property related to the cause of death for Eva Peron to find the specific type of cancer she died from.

[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 p/wdt): 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 wdt/p): 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 p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
4. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
5. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
7. image of grave, also known as headstone picture, image of gravestone, image of cenotaph, image of grave, image of shrine (wd:P1442 as p/wdt): picture of a person or animal's grave, gravestone or tomb, image
8. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
9. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
10. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject

No other items found

[Assistant] The property for cause of death is wd:P509. I will now query the cause of death for Eva Peron (wd:Q40933) using this property to find the type of cancer she died from.

[Tool]
Got 1 row and 2 columns:
| ?causeOfDeath                      | ?causeOfDeathLabel    |
| ---------------------------------- | --------------------- |
| cervix uterine cancer (wd:Q160105) | cervix uterine cancer |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?language ?languageLabel WHERE {
  VALUES ?country {
    wd:Q408
  }
  {
    ?country wdt:P37 ?language .
  } UNION {
    ?country wdt:P2936 ?language .
  }
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 415 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?language                                         | ?languageLabel                       |
| ------------------------------------------------- | ------------------------------------ |
| Ami (wd:Q10408315)                                | Ami                                  |
| Anmatyerre (wd:Q10412317)                         | Anmatyerre                           |
| Bayungu (wd:Q10427485)                            | Bayungu                              |
| Dagoman (wd:Q10465931)                            | Dagoman                              |
| Dayi (wd:Q10467281)                               | Dayi                                 |
| ...                                               | ...                                  |
| Pakanha (wd:Q954916)                              | Pakanha                              |
| Australian Aboriginal sign languages (wd:Q955216) | Australian Aboriginal sign languages |
| Bangla (wd:Q9610)                                 | Bangla                               |
| Martuthunira (wd:Q975399)                         | Martuthunira                         |
| _:bn1201136                                       |                                      |

People in Australia speak many languages including official languages and languages used by indigenous and immigrant communities. Some of these languages are Ami, Anmatyerre, Bayungu, Dagoman, Dayi, Pakanha, Australian Aboriginal sign languages, Bangla, and Martuthunira.

[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 do people in australia speak?

[Assistant]
To answer the question "What do people in Australia speak?" I need to find the language(s) spoken by the people in Australia.

Step 1: Identify the entity for Australia in Wikidata.
Step 2: Find the property that relates a country to the language(s) spoken by its people.
Step 3: Query the language(s) spoken in Australia.

I will start by searching for the entity "Australia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania
2. Australian continent, also known as New Holland, Sahul, Nova Hollandia, Meganesia, Australinea (wd:Q3960): continent in the Earth's Southern Hemisphere
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers
6. Australia (wd:Q781244): board game
7. Australia (wd:Q16835533): Racehorse
8. Australia, also known as Australia (KA–5) (wd:Q4823541): yacht that raced in the Americas Cup
9. Australia (wd:Q4823543): 2000 album by Howie Day
10. Australia (wd:Q25907685): albedo feature on the planet Mercury

[Assistant] The entity for the country Australia is wd:Q408. Now I will search for properties that relate a country to the language(s) spoken by its people. I will search for properties related to "language spoken" or "official language" for the entity Australia (wd:Q408).

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. external data available at URL, also known as data, external data URL, URL with external data (wd:P1325 as wdt/p): URL where external data on this item can be found
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
10. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.

No other items found

[Assistant]
The relevant properties for languages spoken in Australia are:
- official language (wdt:P37)
- language used (wdt:P2936)

I will now write a SPARQL query to get the languages spoken in Australia (wd:Q408) using these properties.

[Tool]
Got 415 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?language                                         | ?languageLabel                       |
| ------------------------------------------------- | ------------------------------------ |
| Ami (wd:Q10408315)                                | Ami                                  |
| Anmatyerre (wd:Q10412317)                         | Anmatyerre                           |
| Bayungu (wd:Q10427485)                            | Bayungu                              |
| Dagoman (wd:Q10465931)                            | Dagoman                              |
| Dayi (wd:Q10467281)                               | Dayi                                 |
| ...                                               | ...                                  |
| Pakanha (wd:Q954916)                              | Pakanha                              |
| Australian Aboriginal sign languages (wd:Q955216) | Australian Aboriginal sign languages |
| Bangla (wd:Q9610)                                 | Bangla                               |
| Martuthunira (wd:Q975399)                         | Martuthunira                         |
| _:bn1201136                                       |                                      |

[Assistant]
People in Australia speak many languages including Ami, Anmatyerre, Bayungu, Dagoman, Dayi, Pakanha, Australian Aboriginal sign languages, Bangla, Martuthunira, and many more. These include official languages and languages used by indigenous and immigrant communities.

I will now finalize the answer with the SPARQL query and a summary of the answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?currency ?currencyLabel WHERE {
  wd:Q38 wdt:P38 ?currency .
  OPTIONAL {
    ?currency rdfs:label ?currencyLabel FILTER ( LANG( ?currencyLabel ) = "en" )
  }
}

The money (currency) used in Italy is called the Euro.

[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 money called in italy?

[Assistant]
To answer the question "what is money called in Italy?", I need to find the term or name used for the currency in Italy. This typically corresponds to the currency used in the country Italy.

Step 1: Identify the entity for Italy.
Step 2: Find the property related to currency or money used in Italy.
Step 3: Retrieve the name or label of the currency used in Italy.

I will start by searching for the entity "Italy" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe
2. Italian Peninsula, also known as Apennine Peninsula, Italic Peninsula, Italy, lo Stivale, península Itálica (wd:Q145694): peninsula of southern Europe
3. Kingdom of Italy, also known as IT, Italy, Regno d’Italia (wd:Q172579): kingdom in Southern Europe from 1861 to 1946
4. Kingdom of Italy, also known as Italy, Napoleonic Kingdom of Italy, Regno d'Italia, Royaume d’Italie, Italian Kingdom (wd:Q223936): kingdom in southern Europe between 1805 and 1814
5. Kingdom of Italy, also known as Italian Kingdom, Italy, Regnum Italiae, Regnum Italicorum, Regnum Italicum (wd:Q838931): (817–1014) constituent kingdom of the Holy Roman Empire
6. Italy, also known as Italy, Texas, Italy, TX (wd:Q977238): town in Ellis County, Texas, United States
7. Italy, also known as Italy, NY (wd:Q3708720): town in New York
8. Kingdom of Italy, also known as Italy, Regnum Italicum, Regno d'Italia, Italian Kingdom (wd:Q5343710): kingdom in Southern Europe between 781 and 962
9. Pessione, also known as Italy (wd:Q2028109): human settlement in Chieri, Metropolitan City of Turin, Piedmont, Italy
10. Archivio di Stato di Parma, also known as archiviodistatoparma.beniculturali.it, Italy, Parma State Archive, Parma State Archives, State Archive of Parma (wd:Q3621658): archives in Italy

[Assistant] The entity for Italy as a country is wd:Q38. Next, I will find the property related to the currency used in Italy. I will search for properties related to currency or money for the entity Italy (wd:Q38).

[Tool]
Top 10 property alternatives:
1. currency, also known as base currency, used money (wd:P38 as p/wdt): currency used by item, uses
2. nominal GDP, also known as GDP, GDP, nominal, gross domestic product, nominal GDP, nominal gross domestic product (wd:P2131 as p/wdt): market value of all officially recognized final goods and services produced within a country in a given period of time
3. central bank (wd:P1304 as wdt/p): country's central bank
4. flag, also known as flag description (wd:P163 as wdt/p): subject's flag
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. VAT rate, also known as goods and services tax rate, GST, sales tax, taxation rate for sales, tax rate for sales (wd:P2855 as p/wdt): percentage value-added tax in this country or region. Do not use for sales tax. For specialised rates, use qualifiers
7. 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)
8. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
9. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/p): seat of government of a country, province, state or other type of administrative territorial entity
10. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item

No other items found

[Assistant] The property "currency" (wdt:P38) is the relevant property for the currency used by a country. Now I will query the currency used by Italy (wd:Q38) using this property.

[Tool]
Got 1 row and 2 columns:
| ?currency       | ?currencyLabel |
| --------------- | -------------- |
| Euro (wd:Q4916) | Euro           |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?wife ?wifeLabel WHERE {
  wd:Q34969 wdt:P26 ?wife .
  OPTIONAL {
    ?wife rdfs:label ?wifeLabel FILTER ( LANG( ?wifeLabel ) = "en" )
  }
}

The name of Benjamin Franklin's wife was Deborah Read Franklin.

[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 was the name of benjamin franklin wife?

[Assistant] To answer the question about the name of Benjamin Franklin's wife, I first need to identify the entity for Benjamin Franklin in Wikidata. Then, I will look for the property that relates to his spouse or wife. Finally, I will retrieve the name of his wife. I will start by searching for the entity "Benjamin Franklin" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Ben Franklin, Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer
2. Benjamin Franklin, also known as The First American, Silence Dogood, Poor Richard, Franklin, Ben Franklin (wd:Q34969): American polymath and statesman (1706–1790), politician, polymath, diplomat, writer
3. Statue of Benjamin Franklin, also known as Benjamin Franklin, Benjamin Franklin Statue (wd:Q4888607): statue in Washington, D.C.
4. Statue of Benjamin Franklin, also known as statue of Benjamin Franklin (Boston), Benjamin Franklin (wd:Q49474378): statue in Boston, Massachusetts
5. Benjamin Franklin (wd:Q23016654): sculpture in San Francisco
6. Benjamin Franklin, also known as Sir Benjamin Franklin (wd:Q4888611): military physician, British surgeon, surgeon
7. Benjamin Franklin (wd:Q4888609): 1974 miniseries
8. Benjamin Franklin (wd:Q4888604): 2002 television series
9. Statue of Benjamin Franklin, also known as Benjamin Franklin (wd:Q4888606): statue outside College Hall, University of Pennsylvania, Philadelphia
10. Statue of Benjamin Franklin, also known as Benjamin Franklin (wd:Q22021867): statue in Portland, Oregon

[Assistant] The entity for Benjamin Franklin in Wikidata is wd:Q34969. Now I will search for the property that relates to his spouse or wife. I will search for properties of the entity Benjamin Franklin (wd:Q34969) with the query "spouse" or "wife".

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
5. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
6. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as wdt/p): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
7. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
8. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
9. family name, also known as clan name, last name, surname (wd:P734 as p/wdt): part of full name of person, name
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country

No other items found

[Assistant] The property for spouse is wd:P26. Now I will write a SPARQL query to get the name of Benjamin Franklin's wife using the entity wd:Q34969 and the property wd:P26.

[Tool]
Got 1 row and 2 columns:
| ?wife                               | ?wifeLabel            |
| ----------------------------------- | --------------------- |
| Deborah Read Franklin (wd:Q3020859) | Deborah Read Franklin |

[Tool] Stopped generation process