PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?work WHERE {
  ?work wdt:P161 wd:Q587156 .
}

Got 12 rows and 1 column, showing the first 5 and last 5 rows below:
| ?work                                              |
| -------------------------------------------------- |
| The Car (wd:Q1197355)                              |
| Escape to Witch Mountain (wd:Q1212511)             |
| Return from Witch Mountain (wd:Q1925695)           |
| Raid on Entebbe (wd:Q2305094)                      |
| Tuff Turf (wd:Q2362823)                            |
| ...                                                |
| Black Snake Moan (wd:Q468660)                      |
| Hello, Larry (wd:Q5708520)                         |
| No Deposit, No Return (wd:Q7044096)                |
| The Real Housewives of Beverly Hills (wd:Q7759591) |
| Race to Witch Mountain (wd:Q922006)                |

Kim Richards appeared in the following works (examples): The Car, Escape to Witch Mountain, Return from Witch Mountain, Raid on Entebbe, Tuff Turf, Black Snake Moan, Hello, Larry, No Deposit, No Return, The Real Housewives of Beverly Hills, and Race to Witch Mountain.

[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 kim richards in?

[Assistant]
Let's break down the question:

1. The user is asking about "Kim Richards" and what she was "in"—this likely refers to movies, TV shows, or other works she appeared in.
2. First, I need to identify the correct entity for Kim Richards in Wikidata.
3. Then, I need to find the property that links a person to works they have appeared in (such as "cast member", "actor in", or similar).
4. Finally, I will construct a SPARQL query to list the works Kim Richards appeared in.

Let's start by searching for the entity "Kim Richards" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Kim Richards, also known as Kimberley Richards, Kim Erica Richards (wd:Q587156): American actress and television personality (born 1964), television actor, film actor, actor
2. Kim Richards, also known as Kim Elizabeth Richards (wd:Q44115773): Australian politician, politician
3. Kim Richards, also known as NanoKim, NanoSounds (wd:Q123745576): content creator, Twitch streamer
4. Kim Richards (wd:Q76151754): Peerage person ID=566462
5. Kim Richardson, also known as Kimberly Ann Richardson (wd:Q19668126): Canadian actor and singer, jazz musician, actor
6. Kim Lahaie Richards, also known as Kim Lahaie (wd:Q26276511): American drag racer, crew chief, racing automobile driver
7. Kim Michele Richardson (wd:Q100598285): American writer, literary critic, writer
8. Sibel Kekilli, also known as Dilara, Sybel, Kim (wd:Q63682): German actress, actor
9. Kim, also known as Kim, CO (wd:Q2275070): Statutory Town in Las Animas County, Colorado, United States
10. Kim (wd:Q589868): picaresque novel by Rudyard Kipling

[Assistant]
The most relevant entity for "Kim Richards" the actress is wd:Q587156. Now, I need to find the property that links an actor to the works they have appeared in. This is typically something like "cast member" or "actor in".

I'll search for properties related to "filmography" or "cast member" to find the correct property to use.

[Tool]
Top 10 property alternatives:
1. 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
2. Swedish Film Database person ID, also known as Swedish Film Database person ID, svenskfilmdatabas.se/sv/item/?type=person, SFI person ID, SFDb person ID, Svensk Filmdatabas person ID (wd:P2168 as p/wdt): identifier for a person on the Swedish Film Database (SFDb)
3. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p/wdt): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
4. Danish National Filmography person ID, also known as Danish National Filmography name, DNF person ID, DNF name, DNF ID (person), DFI person ID (wd:P2626 as p/wdt): identifier for a person in the Danish National Filmography
5. AllMovie person ID, also known as AllMovie ID (wd:P2019 as p/wdt): identifier for a person on the AllMovie film database
6. Ciné-Ressources person ID, also known as Cine person ID, Ciné-Ressources person identifier, cineressources.net person identifier, cineressources.net person ID, Cine person identifier (wd:P3204 as p/wdt): page of a person on the website "Ciné-Ressources"
7. MYmovies person ID (wd:P9995 as p/wdt): identifier for a person on the MYmovies film database
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
9. Kinobox person ID, also known as https://www.kinobox.cz/osobnosti/, kinobox.cz/osobnosti/, www.kinobox.cz/osobnosti/ (wd:P12098 as p/wdt): identifier for a person on the Kinobox.cz website
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception

No other items found

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. 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
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. Ciné-Ressources person ID, also known as Cine person ID, Ciné-Ressources person identifier, cineressources.net person identifier, cineressources.net person ID, Cine person identifier (wd:P3204 as p/wdt): page of a person on the website "Ciné-Ressources"
6. TCM Movie Database person ID, also known as TCMDb person ID, TCM person ID, Turner Classic Movies person ID (wd:P3056 as p/wdt): identifier for a person (cast or crew member) in the Turner Classic Movies movie database
7. 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
8. 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
9. IMDb ID, also known as IMDb identifier, Internet Movie Database identifier (wd:P345 as p/wdt): identifier for the IMDb (with prefix 'tt', 'nm', 'co', 'ev', 'ch' or 'ni')
10. Swedish Film Database person ID, also known as Swedish Film Database person ID, svenskfilmdatabas.se/sv/item/?type=person, SFI person ID, SFDb person ID, Svensk Filmdatabas person ID (wd:P2168 as p/wdt): identifier for a person on the Swedish Film Database (SFDb)

No other items found

[Tool]
Top 10 property alternatives:
1. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): particular item that initiates this action or class of actions
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): role that agents of this action take on in the context of this action
5. character role, also known as role, plays, performer of, as, acting role (wd:P453 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
6. describes actor of (wd:P12027 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
7. used by, also known as armiger, user, played by, of (wd:P1535 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): item or concept that makes use of the subject (use sub-properties when appropriate)
8. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): object depicting this subject (object being creative works such as books, films, paintings)
9. class of agent(s) of action, also known as agent class of action, done by agent(s) of class, class of doer(s), agent selectional restriction, agent selectional preference (wd:P12994 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): class of items that may initiate this action or class of actions
10. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work

[Assistant]
The property "cast member" (wd:P161) is used to indicate an actor in a production, but it is used on the work (movie, TV show) to point to the actor, not the other way around. To find all works Kim Richards appeared in, I need to find all items where Kim Richards (wd:Q587156) is the object of the "cast member" property.

So, the query should look for all works where Kim Richards is a cast member. I will also try to get the labels of these works for readability.

Let's construct and execute this query.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?work                                              | ?workLabel                           |
| -------------------------------------------------- | ------------------------------------ |
| The Car (wd:Q1197355)                              | The Car                              |
| Escape to Witch Mountain (wd:Q1212511)             | Escape to Witch Mountain             |
| Return from Witch Mountain (wd:Q1925695)           | Return from Witch Mountain           |
| Raid on Entebbe (wd:Q2305094)                      | Raid on Entebbe                      |
| Tuff Turf (wd:Q2362823)                            | Tuff Turf                            |
| ...                                                | ...                                  |
| Black Snake Moan (wd:Q468660)                      | Black Snake Moan                     |
| Hello, Larry (wd:Q5708520)                         | Hello, Larry                         |
| No Deposit, No Return (wd:Q7044096)                | No Deposit, No Return                |
| The Real Housewives of Beverly Hills (wd:Q7759591) | The Real Housewives of Beverly Hills |
| Race to Witch Mountain (wd:Q922006)                | Race to Witch Mountain               |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?writingSystem ?label WHERE {
  VALUES ?writingSystem {
    wd:Q8201
  }
  OPTIONAL {
    ?writingSystem rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?writingSystem                | ?label             |
| ----------------------------- | ------------------ |
| Chinese characters (wd:Q8201) | Chinese characters |

The Chinese writing system is called "Chinese characters" (wd:Q8201).

[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 you call the chinese writing system?

[Assistant]
Let's break down the question:

1. The user is asking for the name of the Chinese writing system.
2. I need to identify the entity for "Chinese writing system" in Wikidata.
3. Then, I should return its identifier (IRI), and optionally its label.

First, I'll search for the entity "Chinese writing system" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Journal of Chinese Writing Systems (wd:Q58234452): journal
2. Letter-word Phrases and Chinese Writing System (wd:Q120662500): scholarly article in Journal of Xiamen University (Arts & Social Sciences) no. 6, 2010
3. Image-based anti-interference ro...Chinese character writing system (wd:Q129332745): scholarly article
4. Bibliography of the Chinese language and writing system (wd:Q125242720)
5. writing system, also known as wenzi, ven-tsee, script, graphematics (wd:Q8192): any conventional method of visually representing verbal or signed communication
6. Chinese system, also known as Chinese operating system (wd:Q118876973): program that hooks into an operating system to add the ability to display and input CJK characters
7. Conjectures on Creative Writing ...iplinary System of Chinese Style (wd:Q118678085)
8. Chinese-English biliteracy acqui...uage and writing system transfer (wd:Q52040278): scientific article published on 30 December 2004
9. Chinese writing (wd:Q125357998): Book about Chinese palaeography
10. The Chinese-based writing system of the Zhuang language (wd:Q56915490): article

[Assistant]
The search results show that "writing system" (wd:Q8192) is the general concept, but the specific term for the Chinese writing system is not directly listed. However, the general term for the Chinese writing system is "Chinese characters" or "Han characters" (often referred to as "Hanzi" in Chinese).

To be thorough, I will search for "Chinese characters" in Wikidata to find the most precise entity for the Chinese writing system.

[Tool]
Top 10 entity alternatives:
1. Chinese characters, also known as wenzi, ven-tsee, traditional Vietnamese characters, traditional Korean characters, sinographs (wd:Q8201): logographic writing system with Han origin used in the Sinospher...r Chinese, Japanese, Korean and traditional Vietnamese languages
2. traditional Chinese characters, also known as Chinese characters, Hant, Hanzi, traditional characters, traditional Hanzi (wd:Q178528): late imperial Chinese characters still used for official purposes on Taiwan and in Hong Kong and Macau and informally elsewhere
3. Chinese Characters (wd:Q122342671): 2022 video game
4. simplified Chinese characters, also known as simplified Chinese script, 簡化字, 简化字, simplified Hanzi, simplified Han characters (wd:Q185614): standardized Chinese characters used in Mainland China, Malaysia and Singapore
5. variant sinogram, also known as variant Chinese characters, folk variant, semantic variant (wd:Q837611): different form of Han characters that equivalent in pronunciatio...application such as non-standard abbreviated or simplified forms
6. Singapore Chinese characters (wd:Q391025): writing system for Mandarin Chinese, as used in Singapore
7. abbreviated Chinese character, also known as abbreviated Chinese characters, abbreviated CJK ideograph, abbreviated CJK ideographs, CJKV simplified character, CJKV simplified characters (wd:Q125440195): abbreviated variant of a CJK ideograph
8. Ryukyuan Chinese characters, also known as Ryukyuan Kanji (wd:Q12594322)
9. Wu Chinese characters, also known as wuu-Hans, wuu-Hant (wd:Q6435454): Chinese characters used in the Wu Chinese language
10. Chinese whole characters (wd:Q122761535): complete characters in Chinese writing

[Assistant]
The most relevant entity for the Chinese writing system is "Chinese characters" (wd:Q8201), which refers to the logographic writing system used for Chinese and other languages in the Sinosphere.

Now, I will construct a SPARQL query to return the IRI for "Chinese characters" and, optionally, its label.

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?coach WHERE {
  wd:Q330120 p:P286 ?statement .
  ?statement ps:P286 ?coach .
  ?statement pq:P580 ?start .
  OPTIONAL {
    ?statement pq:P582 ?end .
  }
  FILTER ( ?start <= "2013-12-31T00:00:00Z" ^^ xsd:dateTime ) FILTER ( ! BOUND( ?end ) || ?end >= "2013-01-01T00:00:00Z" ^^ xsd:dateTime )
}

Ron Rivera was the head coach of the Carolina Panthers in 2013.

[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 will coach carolina panthers in 2013?

[Assistant]
Let's break down the question:

1. The entity is "Carolina Panthers," which is an NFL team.
2. The property is "coach" or "head coach."
3. The time constraint is the year 2013.

First, I need to find the Wikidata entity for "Carolina Panthers."

[Tool]
Top 10 entity alternatives:
1. Carolina Panthers (wd:Q330120): American football team
2. history of the Carolina Panthers, also known as Carolina Panthers history, the Carolina Panthers history (wd:Q5869201): aspect of history
3. Carolina Panthers Cheerleaders (wd:Q130385213): cheerleading squad of the Carolina Panthers
4. 2021 Carolina Panthers season (wd:Q104869609): 27th season in franchise history
5. 2022 Carolina Panthers season (wd:Q110445399): 28th season in franchise history
6. 2020 Carolina Panthers season (wd:Q80995958): 26th season in franchise history
7. 2018 Carolina Panthers season (wd:Q48843395): 24th season in franchise history
8. 2015 Carolina Panthers season (wd:Q18701993): NFL team 21st season(lost Super Bowl)
9. 2019 Carolina Panthers season (wd:Q60525825): 25th season in franchise history
10. 2023 Carolina Panthers season (wd:Q116170055): 29th season in franchise history

[Assistant]
The correct entity for the Carolina Panthers NFL team is wd:Q330120.

Next, I need to find the property related to "coach" or "head coach" for a sports team. I'll search for relevant properties.

[Tool]
Top 10 property alternatives:
1. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
2. coach of sports team, also known as trainer of sports team, club manager of sports team, trainer of, team manager of sports team, team manager of (wd:P6087 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): sports club or team for which this person is or was on-field manager or coach
3. PlaymakerStats.com coach ID, also known as PlaymakerStats.com manager ID, TheFinalBall coach ID (wd:P6316 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for an association football (soccer) coach at PlaymakerStats.com (formerly TheFinalBall.com)
4. LNB Coach id, also known as LNB Pro A coach ID (wd:P6743 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a coach in the French basketball championship
5. trained by, also known as personal trainer, trainer (wd:P10449 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): personal trainer of the athlete, student of
6. LevskiSofia.info coach ID (wd:P6410 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a coach at the LevskiSofia.info
7. TuttoCalciatori.net coach ID (wd:P7035 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier of a football coach in the website TuttoCalciatori.net
8. Soccerdonna coach ID, also known as Soccerdonna trainer ID (wd:P8134 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a coach at the Soccerdonna
9. LegaBasket.it coach ID (wd:P5612 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a coach at legabasket.it
10. VBL people ID, also known as VBL coach ID, VBL player ID, VBL staff ID (wd:P4298 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a volleyball player on the website of the German Volleyball Federation

[Assistant]
The most relevant property for the head coach of a sports team is "head coach" (wd:P286).

Now, I need to find who was the head coach of the Carolina Panthers (wd:Q330120) in 2013. Since coaching tenures can change, I should check if there is a qualifier for the time period (start and end dates) for the head coach property.

I'll check how the "head coach" property is used for the Carolina Panthers entity.

[Tool]
Got 1 row and 3 columns:
| subject                        | property              | object                      |
| ------------------------------ | --------------------- | --------------------------- |
| Carolina Panthers (wd:Q330120) | head coach (wdt:P286) | Dave Canales (wd:Q47456134) |

[Assistant]
The direct property wdt:P286 (head coach) currently points to Dave Canales, who is the current coach, not the coach in 2013. To get historical coaches, I need to check the full statement with qualifiers, such as start and end time, rather than just the direct property.

I'll list all statements (not just direct) for the "head coach" (P286) property for the Carolina Panthers, to see if there are qualifiers for the time period.

[Tool]
Got 8 rows and 3 columns:
| subject                        | property            | object                                         |
| ------------------------------ | ------------------- | ---------------------------------------------- |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-48e97c3f-4363-828d-db0f-94a68ca39086 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-736700dd-49fa-7abe-2a02-a38de36334ad |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-901db853-45eb-301d-3bb0-b14edb6a9c88 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-997ea6c1-4d3d-292e-addd-bbd89937d2c0 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-9f179107-47e5-69c1-ce60-3ecf15100852 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-c511c1f0-48ea-054e-a3bc-89f44d9ff9cc |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-eb409d3a-4f10-6ae9-925d-a730cc610f68 |

[Assistant]
There are 8 different head coach statements for the Carolina Panthers, each with a unique statement node. These statements likely have qualifiers such as start and end time.

Next, I will check one of these statement nodes (e.g., s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92) to see which qualifiers are available, especially for time period.

[Tool]
Got 8 rows and 3 columns:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | start time (pq:P580)  | 2011-01-01T00:00:00Z                         |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | end time (pq:P582)    | 2019-01-01T00:00:00Z                         |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | head coach (ps:P286)  | Ron Rivera (wd:Q1991889)                     |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | wikibase:rank         | wikibase:NormalRank                          |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | rdf:type              | wikibase:Statement                           |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | prov:wasDerivedFrom   | ref:e36f8c9d1bd5f4938eddd0f605ee623cff177615 |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | start time (pqv:P580) | v:19fb1e607fb895edac44d92bd9141272           |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | end time (pqv:P582)   | v:1c9551a398cfb51623c28b80416004d3           |

[Assistant]
This statement shows that Ron Rivera (wd:Q1991889) was head coach from 2011-01-01 to 2019-01-01, which includes the year 2013.

To be thorough, I should construct a SPARQL query that:
- Finds all head coaches of the Carolina Panthers,
- Filters for those whose tenure includes the year 2013,
- Returns the coach's IRI and optionally their label.

Now, I'll write the final SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?spouse WHERE {
  wd:Q42869 wdt:P26 ?spouse
}

Nicolas Cage is married to Riko Shibata (wd:Q109355504).

[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 is nicolas cage married too?

[Assistant]
Let's break down the question:

1. The user is asking about the spouse(s) of Nicolas Cage.
2. I need to identify the Wikidata entity for Nicolas Cage.
3. Then, I need to find the property for "spouse" or "married to".
4. Finally, I will construct a SPARQL query to retrieve the spouse(s) of Nicolas Cage.

First, I'll search for the Wikidata entity for "Nicolas Cage".

[Tool]
Top 10 entity alternatives:
1. Nicolas Cage, also known as Nicolas Coppola, Nicolas Kim Coppola, Nic Cage (wd:Q42869): television presenter, television producer, executive producer, character actor, American actor, film director, film producer, screenwriter, voice actor, film actor, director, writer, actor
2. Nicolas Cage/Bobby Brown, also known as Saturday Night Live S18E1, Saturday Night Live, season 18 episode 1 (wd:Q110035758): episode of Saturday Night Live (S18 E1)
3. Weekend Update: Nicolas Cage (wd:Q110060114): sketch from Saturday Night Live
4. Cage's Kiss: The Nicolas Cage Podcast (wd:Q110580467): podcast
5. Cage Rage - A Nicolas Cage Podcast (wd:Q110575223): podcast
6. Weekend Update: Nicolas Cage and Bradley Cooper (wd:Q110060014): sketch from Saturday Night Live
7. cage (wd:Q129211): enclosure used to confine, contain or protect something or someone
8. China Zorrilla, also known as Nicolás (wd:Q458175): Uruguayan actress (1922–2014), stage actor, film actor, actor
9. Frida Kalho, also known as Nicolás (wd:Q458175): Uruguayan actress (1922–2014), stage actor, film actor, actor
10. The Cage, also known as Cage, Cage, The, Pilot: The Cage (wd:Q20909): 1986 episode of Star Trek: The Original Series directed by Robert Butler

[Assistant]
The most relevant entity for Nicolas Cage is wd:Q42869.

Next, I need to find the property for "spouse" or "married to". I'll search for properties related to "spouse".

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The correct property for "spouse" is wd:P26.

Now, I will construct a SPARQL query to find the spouse(s) of Nicolas Cage (wd:Q42869) using the property "spouse" (wd:P26). I will also try to retrieve the labels of the spouses for better readability, but will keep them optional as per the instructions.

[Tool]
Got 1 row and 2 columns:
| ?spouse                      | ?spouseLabel |
| ---------------------------- | ------------ |
| Riko Shibata (wd:Q109355504) | Riko Shibata |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfBirth WHERE {
  wd:Q206939 wdt:P19 ?placeOfBirth
}

Got 1 row and 1 column:
| ?placeOfBirth   |
| --------------- |
| London (wd:Q84) |

Elvis Costello was born in London (wd:Q84).

[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 was elvis costello born?

[Assistant]
Let's break down the question:

1. The entity is "Elvis Costello".
2. The property is "place of birth".

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

[Tool]
Top 10 entity alternatives:
1. Elvis Costello, also known as Declan MacManus, Declan Patrick MacManus (wd:Q206939): English singer-songwriter (born 1954), record producer, songwriter, guitarist, singer
2. Elvis Costello (wd:Q107119978): lithograph at the Museum of Modern Art; unknown designer
3. Elvis Costello (wd:Q125462686): written work by Eduardo Margaretto Kohrmann
4. Elvis Costello (wd:Q125462696): 1993 edition of written work by Eduardo Margaretto Kohrmann
5. Elvis Costello (wd:Q28052324): painting by Adam Birtwistle
6. Spectacle: Elvis Costello with... (wd:Q7575075): television series
7. Elvis Costello Band concert (wd:Q99322922): Elvis Costello Band concert performed during Montreux Jazz Festival the 1989-07-11
8. Elvis Costello Solo concert (wd:Q99429372): Elvis Costello Solo concert performed during Montreux Jazz Festival the 1989-07-11
9. Elvis Costello & the Attractions, also known as Elvis Costello and the Attractions, Nick Lowe And His Sound (wd:Q7714866): UK musical group
10. Elvis Costello with Steve Nieve (wd:Q105091759): print by Jenny Gill

[Assistant]
The most relevant entity for "Elvis Costello" the musician is wd:Q206939.

Next, I need to find the property for "place of birth" and use it with this entity.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The correct property for "place of birth" is wd:P19.

Now, I will construct a SPARQL query to find the place of birth for Elvis Costello (wd:Q206939) using the property "place of birth" (wd:P19). I will also try to retrieve the label of the place for clarity.

[Tool]
Got 1 row and 2 columns:
| ?placeOfBirth   | ?placeOfBirthLabel |
| --------------- | ------------------ |
| London (wd:Q84) | London             |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie WHERE {
  ?movie wdt:P161 wd:Q187038 .
}

Got 118 rows and 1 column, showing the first 5 and last 5 rows below:
| ?movie                            |
| --------------------------------- |
| Think Big (wd:Q1031705)           |
| Death Race (wd:Q1033191)          |
| The Misfit Brigade (wd:Q10478647) |
| Deathsport (wd:Q1134750)          |
| Crank: High Voltage (wd:Q1138916) |
| ...                               |
| Mean Streets (wd:Q841335)         |
| True Legend (wd:Q910896)          |
| Kill Bill: Volume 2 (wd:Q928019)  |
| Big Stan (wd:Q939728)             |
| Behind Enemy Lines (wd:Q946863)   |

David Carradine played in the following movies (showing a few examples): Think Big, Death Race, The Misfit Brigade, Deathsport, Crank: High Voltage, Mean Streets, True Legend, Kill Bill: Volume 2, Big Stan, Behind Enemy Lines, and many more. The full list can be retrieved with the provided SPARQL 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] what movies did david carradine play in?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "David Carradine".
2. We need to find the property that links an actor to movies they acted in.
3. We need to construct a query to find all movies where David Carradine was an actor.

First, I'll search for the entity "David Carradine" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. David Carradine, also known as John Arthur Carradine (wd:Q187038): American actor (1936–2009), television producer, television actor, character actor, film director, film producer, screenwriter, voice actor, film actor, director, actor
2. David Carradine, also known as David M. Carradine, D. Carradine (wd:Q123597734): structural engineer at BRANZ in New Zealand, structural engineer
3. David Carradine, Actor, Is Dead at 72 (wd:Q123708760): The New York Times article (June 5, 2009)
4. David, also known as David, King of Israel, King David, Dawud re d'Israele, Nabi Dawud King of Israel, sweet singer of Israel (wd:Q41370): king of Israel and Judah, instrumentalist, monarch, warlord, herder, ruler, poet
5. Jacques-Louis David, also known as J.-L. David, Louis David, L. David, J.L. David, J. L. David (wd:Q83155): architectural draftsperson, French painter (1748–1825), politician, painter
6. David, also known as David by Michelangelo, Michelangelo's David, David of Michelangelo, Michaelangelo's David (wd:Q179900): sculpture by Michelangelo
7. Saint David, also known as St. David, St David, David of Wales, Dewi, David (wd:Q331697): patron saint of Wales, Catholic bishop, Catholic priest
8. David, also known as David, Chiriquí, San José de David (wd:Q279009): capital of the province of Chiriquí, Panama
9. Gerard David, also known as Gheeraert Davidt, Gheeraedt David, Gheeraert David, Gheeraedt Davit, Gheeraedt Davidt (wd:Q333380): Early Netherlandish painter, (c. 1460–1523), draftsperson, illuminator, painter, artist
10. Armand David, also known as Pere David, Jean-Pierre-Armand David, David, Père David, Jean Pierre Armand David (wd:Q346939): French Catholic priest, zoologist, and botanist (1826–1900), Catholic priest, ornithologist, missionary, zoologist, botanist, explorer

[Assistant]
The most relevant entity for "David Carradine" the actor is wd:Q187038.

Next, I need to find the property that links an actor to the movies they acted in. This is typically something like "cast member" or "actor in film". I'll search for properties related to "filmography" or "actor in film".

[Tool]
Top 10 property alternatives:
1. 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 prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/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
2. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
3. list of works, also known as jikọọ na isiokwu na ọrụ nke mmadụ; jiri P358 mee ihe ngosi (wd:P1455 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): link to the article with the works of a person; use P358 for discographies, has list
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. has list, also known as list, topic's list, topic list, related list, list for this topic (wd:P2354 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): Wikimedia list related to this subject
6. category for films in this language, also known as category for movies in this language (wd:P5996 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): link to category entity contains films in this language, related category
7. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the number of parts that a work comprises
8. TMDB collection ID, also known as The Movie Database film series ID, The Movie Database franchise ID, themoviedb.org collection ID, themoviedb.org film series ID, themoviedb.org franchise ID (wd:P11805 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a film series at The Movie Database
9. TMDB movie ID, also known as The Movie Database film ID, TMDb film ID, themoviedb.org movie ID, The Movie Database movie ID, themoviedb.org film ID (wd:P4947 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): identifier for a movie at The Movie Database
10. category for films shot at this location, also known as category of films shot at this location, films shot at this location, cfsi, cff, cat films shot (wd:P1740 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the object is a category for films shot at or in the subject, related category

[Assistant]
The most relevant property for finding movies that David Carradine acted in is "cast member" (wd:P161). However, this property is used on the movie item, pointing to the actor. So, to find all movies David Carradine played in, I need to find all items where wd:P161 (cast member) is wd:Q187038 (David Carradine).

Now, I'll construct a query to find all such movies, returning their IRIs and optionally their labels.

[Tool]
Got 118 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?movie                            | ?movieLabel         |
| --------------------------------- | ------------------- |
| Think Big (wd:Q1031705)           | Think Big           |
| Death Race (wd:Q1033191)          | Death Race          |
| The Misfit Brigade (wd:Q10478647) | The Misfit Brigade  |
| Deathsport (wd:Q1134750)          | Deathsport          |
| Crank: High Voltage (wd:Q1138916) | Crank: High Voltage |
| ...                               | ...                 |
| Mean Streets (wd:Q841335)         | Mean Streets        |
| True Legend (wd:Q910896)          | True Legend         |
| Kill Bill: Volume 2 (wd:Q928019)  | Kill Bill: Volume 2 |
| Big Stan (wd:Q939728)             | Big Stan            |
| Behind Enemy Lines (wd:Q946863)   | Behind Enemy Lines  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?government WHERE {
  wd:Q155 wdt:P122 ?government .
}

Got 3 rows and 1 column:
| ?government                           |
| ------------------------------------- |
| representative democracy (wd:Q188759) |
| presidential system (wd:Q49892)       |
| federal republic (wd:Q512187)         |

Brazil is classified as a representative democracy (wd:Q188759), a presidential system (wd:Q49892), and a federal republic (wd:Q512187) according to Wikidata's 'basic form of government' property.

[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 political system is brazil?

[Assistant]
To answer this question, I need to identify the entity for "Brazil" and the property that describes the "type of political system" of a country.

Step 1: Find the Wikidata entity for Brazil.
Step 2: Find the property related to "type of political system" or "political system" for a country.

I'll start by searching for the entity "Brazil".

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Federative Republic of Brazil, Brasil, br (wd:Q155): country in South America
2. Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America
3. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam
4. Brazil, also known as Brazil, Indiana, Brazil, IN (wd:Q1998364): city in Clay County, Indiana, United States
5. State of Brazil, also known as Brazil, Colonial Brazil, Portuguese Brazil (wd:Q11876909): state of the Portuguese Empire
6. Brazil, also known as Stars and Guitars (wd:Q4958616): 1944 film by Joseph Santley
7. Brazil, also known as Brazil, IA (wd:Q17511873): human settlement in Appanoose County, Iowa, United States
8. Viceroyalty of Brazil, also known as Brasil, Brazil (wd:Q2920081): Portuguese viceroyalty in Brazil 1763-1815
9. Brazil (wd:Q13581616): 1991 song by Bebi Dol
10. Brazil (wd:Q4095706): 1994 novel by John Updike

[Assistant]
The correct entity for the country Brazil is wd:Q155.

Next, I need to find the property that describes the "type of political system" or "political system" for a country. I'll search for properties related to "political system".

[Tool]
Top 10 property alternatives:
1. voting system, also known as electoral system, voting system, type of election (wd:P8196 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): system used for this election or vote
2. basic form of government, also known as form of government, government, type of government (wd:P122 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): subject's government
3. diplomatic relation, also known as political relation, political relations, foreign relations, foreign relation, diplomatic relations (wd:P530 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): diplomatic relations of the country
4. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): subject currently or formerly holds the object position or public office
6. political alignment, also known as political position, alignment (wd:P1387 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): political position within the left–right political spectrum
7. political coalition, also known as electoral block, political bloc, political alliance, electoral list, electoral alliance (wd:P5832 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): agreement for cooperation between different political parties, member of
8. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): political ideology of an organization or person or of a work (such as a newspaper)
9. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): entity having executive power on given entity
10. parliamentary group, also known as faction, party organization, party (wd:P4100 as prn/wdtn/pqn/pqv/ps/psn/psv/p/pr/pq/prv/wdt): parliamentary group to which a member of a parliament belongs, member of

[Assistant]
The property "basic form of government" (wd:P122) seems to be the most appropriate for describing the type of political system of a country.

Now, I will construct a SPARQL query to retrieve the value of "basic form of government" (wd:P122) for Brazil (wd:Q155). I will also try to include the label of the government form for clarity, but the main result will be the IRI.

[Tool]
Got 3 rows and 2 columns:
| ?government                           | ?governmentLabel         |
| ------------------------------------- | ------------------------ |
| representative democracy (wd:Q188759) | representative democracy |
| presidential system (wd:Q49892)       | presidential system      |
| federal republic (wd:Q512187)         | federal republic         |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?date WHERE {
  wd:Q211386 wdt:P585 ?date
}

The big earthquake hit San Francisco on April 18, 1906.

[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] when did the big earthquake hit san francisco?

[Assistant]
Let's break down the question:

1. The question is about the date when a major earthquake hit San Francisco.
2. We need to identify the specific earthquake (likely the 1906 San Francisco earthquake, but we must verify).
3. We need to find the date property for that event.

First, I will search for "San Francisco earthquake" in Wikidata to identify the relevant entity.

[Tool]
Top 10 entity alternatives:
1. 1906 San Francisco earthquake, also known as Great San Francisco Earthquake and Fire, San Francisco earthquake of 1906, San Francisco earthquake and fire, 1906, Great 1906 San Francisco Earthquake, earthquake of 1906 (wd:Q211386): major earthquake that struck San Francisco and the coast of Northern California
2. 1906 San Francisco earthquake, also known as 1906 San Francisco earthquake and fire, earthquake of 1906, San Francisco earthquake of 1906, Great 1906 San Francisco Earthquake, Great San Francisco Earthquake and Fire (wd:Q211386): major earthquake that struck San Francisco and the coast of Northern California
3. 1989 Loma Prieta earthquake, also known as 1989 San Francisco earthquake, Loma Prieta earthquake (wd:Q1053476): major earthquake in northern California
4. 1957 San Francisco earthquake (wd:Q20312370)
5. Earthquake waves at San Francisco (wd:Q80986050): scientific article published on 01 February 1884
6. The Great San Francisco Earthquake (wd:Q125816606): scientific article published in 1988
7. The San Francisco earthquake of 1906 (wd:Q58176314): scholarly article by Dennis R. Dean published November 1993 in Annals of Science
8. Saints and the San Francisco earthquake (wd:Q57138167): scientific article published on 01 January 1983
9. The Big Picture: San Francisco Earthquake (wd:Q110056932): sketch from Saturday Night Live
10. Psychic Effects of the San Francisco Earthquake (wd:Q57143755): scholarly article published 4 August 1906 in The Hospital

[Assistant]
The top result is the "1906 San Francisco earthquake" (wd:Q211386), which is commonly referred to as "the big earthquake" in San Francisco. There is also the 1989 Loma Prieta earthquake, but the 1906 event is more famously called "the big earthquake."

Next, I will look for the date property associated with the 1906 San Francisco earthquake entity to find out when it happened.

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. 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
5. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
6. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
7. 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
8. 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
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Tool]
Got 1 row and 1 column:
| ?date                |
| -------------------- |
| 1906-04-18T00:00:00Z |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinate WHERE {
  wd:Q819 wdt:P625 ?coordinate
}

Laos is located at approximately 18.2°N latitude and 104.1°E longitude on the world map.

[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 is laos in world map?

[Assistant]
Let's break down the question:

1. The user is asking about the location of Laos on the world map.
2. This implies we need to find the geographic coordinates (latitude and longitude) or a description of its location.
3. In Wikidata, countries have geographic coordinates (property P625).

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

[Tool]
Top 10 entity alternatives:
1. Laos, also known as LAO, Lao PDR, Lao People's Democratic Republic, la (wd:Q819): country in Southeast Asia
2. Tai peoples, also known as Laos, Shans (wd:Q703353): ethnic group
3. Laotians, also known as Lao, Laos (wd:Q11346642): citizens or residents of Laos
4. Laos (wd:Q28322504): family name
5. Laos (wd:Q3217694): German hard rock band
6. Laos (wd:Q103947900): encyclopedia article
7. Laos. (wd:Q47411910): scientific article published in May 1986
8. Laos (wd:Q59597671): Congressional Research Service report
9. Laos (wd:Q58675659): scholarly article
10. Laos (wd:Q130900075): scientific article published in January 2003

[Assistant]
The most relevant entity for "Laos" as a country is wd:Q819.

Next, I need to find its geographic coordinates, which are typically stored under property P625 in Wikidata. I will now construct a SPARQL query to retrieve the geographic coordinates of Laos (wd:Q819).

[Tool]
Got 1 row and 1 column:
| ?coordinate                 |
| --------------------------- |
| POINT(104.100000 18.200000) |

[Tool] Stopped generation process