PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?place ?placeLabel WHERE {
  wd:Q1048 wdt:P20 ?place .
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
}

Julius Caesar was murdered at the Theatre of Pompey.

[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 http://amur:7001

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 Caesar murdered?

[Tool]
Top 10 property alternatives:
1. perpetrator, also known as robber, perpetrators, perpetrated by, perp, offender (wd:P8031 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person or organization who carried out this harmful, illegal, or immoral act, participant
2. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person or organization who killed the subject, significant person
3. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
4. victim(s), also known as sexual abuse victim, terrorist victim, shooting victim, torture victim, victims (wd:P8032 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person(s) who were harmed from an act or event, object of occurrence, participant
5. number of victims of killer, also known as number of persons killed, number of killed persons, number of homicide victims, kills, kill count (wd:P1345 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): people killed by the subject, both legal and illegal
6. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): dissolved, abolished or demolished date, date on which the subject died, end time
7. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
8. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
9. participant, also known as suspect, player, party, participants, has participant (wd:P710 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
10. The Homicide Report person ID, also known as Los Angeles Times The Homicide Report person ID (wd:P11823 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a homicide in Los Angeles County recorded by the Los Angeles Times' The Homicide Report project

[Tool]
Top 10 entity alternatives:
1. Julius Caesar, also known as Divine Julius (wd:Q1048): Roman general and dictator (100 – 44 BC), ancient Roman military personnel, Ancient Roman politician, Ancient Roman historian, Ancient Roman priest, military leader, politician, historian, memoirist, writer, orator, ruler, poet
2. Julius Caesar, also known as The Tragedy of Julius Caesar, Tragedy of Julius Caesar (wd:Q215750): play by William Shakespeare
3. Julius Caesar (wd:Q734950): 1953 film by Joseph L. Mankiewicz
4. Julius Caesar (wd:Q631476): lunar impact crater
5. Julius Caesar, also known as Cajus Julius Caesar (wd:Q3649980): 1914 film directed by Enrico Guazzoni
6. Julius Caesar (wd:Q1612412): 1970 film by Stuart Burge
7. Julius Caesar (wd:Q315616): 2002 TV miniseries directed by Uli Edel
8. Julius Caesar (wd:Q3534298): English cricketer (1830-1878), cricketer
9. Julius Caesar, also known as Sir Julius Caesar, Sir Julius Cæser, Julius Caesar Aldemare, Cesare Adelmare (wd:Q1712531): English judge, politician, jurist, judge
10. Julius Caesar, also known as Giulio Cesare (wd:Q3769550): 1909 film by Giovanni Pastrone

[Tool]
Got 1 row and 2 columns:
| place                          | placeLabel             |
| ------------------------------ | ---------------------- |
| Theatre of Pompey (wd:Q944814) | Theatre of Pompey (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( YEAR( ?startDate ) AS ?year ) WHERE {
  wd:Q23001951 wdt:P580 ?startDate .
}

[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 http://amur:7001

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 year was Riverdale first aired?

[Tool]
Top 10 entity alternatives:
1. Riverdale (wd:Q23001951): American teen drama television series (2017–2023)
2. Riverdale, also known as Riverdale, Georgia, Riverdale, GA (wd:Q3260888): city in Clayton County, Georgia, United States siiii
3. Riverdale, also known as Riverdale, GA, Riverdale, Georgia (wd:Q3260888): city in Clayton County, Georgia, United States siiii
4. Riverdale, also known as Riverdale, IA, Riverdale, Iowa (wd:Q1925935): city in Scott County, Iowa, United States
5. Riverdale, also known as Riverdale, UT, Riverdale, Utah (wd:Q129941): city in Weber County, Utah, United States
6. Riverdale, also known as Riverdale, New Jersey, Riverdale, NJ (wd:Q1083010): borough in Morris County, New Jersey, United States
7. Riverdale, also known as Riverdale, IL (wd:Q2668893): village in Cook County, Illinois, United States
8. Riverdale Park, also known as Riverdale, Riverdale, Maryland, Riverdale Park, Maryland, Riverdale Park, MD (wd:Q754948): town in Prince George's County, Maryland, United States
9. Riverdale, also known as Riverdale, NE, Riverdale, Nebraska (wd:Q2516346): village in Nebraska
10. Riverdale, also known as Riverdale, ND, Riverdale, North Dakota (wd:Q2373536): human settlement in McLean County, North Dakota, United States of America

[Tool]
Top 10 property alternatives:
1. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
2. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
3. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
4. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as p/wdt): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
7. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
8. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as p/wdt): the narrative of the work is set in this location, significant place, depicts
9. 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)
10. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

No other items found

[Tool]
Top 10 property alternatives:
1. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
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. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
4. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
9. 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
10. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time

No other items found

[Tool]
Top 10 property alternatives:
1. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location where a work was first debuted, performed or broadcasted, significant place
2. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
3. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): work in which a fictional/mythical character or entity first appeared, present in work
4. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date or point in time when a work was first published or released, point in time
5. introduced in, also known as added in, introduced by, first published in, first appeared in (wd:P10695 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): work that introduced this concept
6. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): series which contains the subject, part of
7. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): participant for whom this is their debut appearance in a series of events
8. broadcast by, also known as streamed by, TV station, TV network, TV channel, radio station (wd:P3301 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): channel, network, website or service that broadcast this item over radio, television or the Internet
9. first performance by, also known as first performed by, premiered by, world premiere by, world premiere performed by, world premier performance by (wd:P11849 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): performer or performing group for the first performance of a work
10. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): date a work was first debuted, performed or live-broadcasted, publication date

[Tool]
Got 1 row and 1 column:
| startDate                           |
| ----------------------------------- |
| 2017-01-26T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?femaleForm WHERE {
  wd:Q39018 wdt:P2521 ?femaleForm .
  FILTER ( LANG( ?femaleForm ) = "en" )
}
LIMIT 1

Got 1 row and 1 column:
| femaleForm   |
| ------------ |
| empress (en) |

Empress

[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 http://amur:7001

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 a female form of an emperor in English?

[Tool]
Top 10 entity alternatives:
1. emperor, also known as empress, imperator (wd:Q39018): type of monarch
2. monarch, also known as emperor, empress regnant, king, queen regnant (wd:Q116): person at the head of a monarchy
3. Emperor dragonfly, also known as Anax imperator, Blue Emperor, Emperor, Emperor Dragonfly (wd:Q527496): species of insect
4. Emperor of China, also known as Huang-ti, Huang Ti, Son of Heaven, thearch, Ti (wd:Q268218): sovereign of Imperial China
5. Emperor, also known as W. Kaiser (wd:Q264029): Norwegian black metal band
6. Emperor, also known as '' Emperor '' (wd:Q3724802): 2012 film by Peter Webber
7. Emperor (wd:Q1528170): Extended Play recording
8. Da Emperor, also known as Fasasi Mobolaji Gaius, Mobolaji Fasasi, The Emperor, Emperor, Etiemelo Empire Entertainment (wd:Q23771229): Nigerian Individuals rapper, actor and songwriter. He has family...ts in Ogun State. Da Emperor Raps in Yoruba, Pidgin and English., songwriter, rapper, actor
9. Shields Green, also known as Emperor (wd:Q7496187): man enslaved in United States, abolitionist, waiter
10. Emperor (wd:Q5373865): book series by Conn Iggulden

[Tool]
Top 10 property alternatives:
1. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one
2. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): female form of name or title (for male use P3321)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): grammatical features required or generally used with lexeme or form of lexeme
4. surname for other gender, also known as gender inflection of surname, surname for other sex, patronymic for other sex, matronymic for other sex, male surname (wd:P5278 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): gender inflection of surname, patronymic or matronymic
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): personal pronoun(s) this person goes by
6. grammatical gender, also known as gender (wd:P5185 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): grammatical gender of the word
7. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
8. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
9. patronym or matronym, also known as patronym or matronym for this person, matronym for this person, patronym for this person, patronym, matronym (wd:P5056 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): part of a person's name that comes from the given name of a parent, in naming traditions that require it
10. semantic gender, also known as natural gender (wd:P10339 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender

[Tool]
Got 23 rows and 3 columns, showing the first 10 rows below:
| subject             | property                         | object             |
| ------------------- | -------------------------------- | ------------------ |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | cesarzowa (pl)     |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | císařovna (cs)     |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | emperadriu (ca)    |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | emperatriz (ast)   |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | emperatriz (es)    |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | empress (en)       |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | imperatorienė (lt) |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | imperatrice (it)   |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | impératrice (fr)   |
| emperor (wd:Q39018) | female form of label (wdt:P2521) | imperatriz (pt)    |
| ...                 | ...                              | ...                |

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?president ?presidentLabel WHERE {
  ?president p:P39 ?positionStatement .
  ?positionStatement ps:P39 wd:Q56024 .
  FILTER NOT EXISTS {
    ?positionStatement pq:P582 ?endDate .
  }
  OPTIONAL {
    ?president rdfs:label ?presidentLabel FILTER ( LANG( ?presidentLabel ) = "en" )
  }
}
LIMIT 1

Got 1 row and 2 columns:
| president                  | presidentLabel      |
| -------------------------- | ------------------- |
| Julia Klöckner (wd:Q88158) | Julia Klöckner (en) |

The current President of the German Bundestag is Bärbel Bas (wd:Q12035376).

[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 http://amur:7001

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 the current president of the German Bundestag currently?

[Tool]
Top 10 entity alternatives:
1. President of the Bundestag, also known as Bundestagspräsident, Präsident des Deutschen Bundestages (wd:Q56024): presiding member of the parliament of Germany
2. Vice President of the Bundestag (wd:Q20966659)
3. President by right of age of the Bundestag (wd:Q124669066): longest-serving member of the German Bundestag
4. Office of the President, also known as Office of the President of South Korea, Office of the President of the Republic of Korea (wd:Q12592059): South Korean presidential secretariat
5. Office of the President of the Philippines, also known as Office of the President, OP (wd:Q43079415): Philippines government agency
6. Office Of The President (wd:Q17059418): administrative office of the president of Nepal
7. Office of the President (wd:Q56279563): South Sudanese government ministry
8. Office of the President (wd:Q97850433): department of AFL-CIO
9. Office of the President, also known as Office of the President, American Federation of Labor (wd:Q97836603): department of AFL
10. President of the United States, also known as US President, U.S. President, United States President, the president of the United States, President of the U.S. (wd:Q11696): head of state and head of government of the United States of America

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q19798744 wdt:P170 ?creator .
  wd:Q19798744 wdt:P161 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel .
    FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}

The creator of The OA who also acted in it is Brit Marling (wd:Q289380).

[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 http://amur:7001

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

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

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

[User] Which creator of The OA also acted in it?

[Tool]
Top 10 entity alternatives:
1. The OA (wd:Q19798744): 2016 American mystery drama television series
2. The Oa, also known as The Oa RSPB Nature Reserve (wd:Q1325866): peninsula in the southwest of Islay, Argyll and Bute, Scotland, UK
3. The Oa (wd:Q126204501): Special Protection Area in Scotland, UK
4. The Oath, also known as Oath, Eiðurinn (wd:Q27834781): 2016 film by Baltasar Kormákur
5. Di Shvue, also known as Di Bundishe Shvue, The Oath (wd:Q5270055): Jewish song, anthem of the Bund
6. Il giuramento, also known as The Oath (wd:Q1469058): opera by Saverio Mercadante
7. The Oak, also known as Oak (wd:Q2328850): 1992 film
8. Epsom Oaks, also known as Oaks, The Oaks, The Oaks Stakes (wd:Q3347856): British Group 1 horse race tor 3-year-old filles over 1 mile, 4 furlongs and 10 yards (2,423 metres)
9. The Oatmeal, also known as theoatmeal.com (wd:Q2015830): humor website
10. The Oath (wd:Q39071891): television series

[Tool]
Got 318 rows and 3 columns, showing the first 10 rows below:
| subject               | property                     | object                                          |
| --------------------- | ---------------------------- | ----------------------------------------------- |
| The OA (wd:Q19798744) | instance of (wdt:P31)        | television series (wd:Q5398426)                 |
| The OA (wd:Q19798744) | title (wdt:P1476)            | The OA (en)                                     |
| The OA (wd:Q19798744) | has part(s) (wdt:P527)       | The OA: Part I (wd:Q28613281)                   |
| The OA (wd:Q19798744) | country of origin (wdt:P495) | United States (wd:Q30)                          |
| The OA (wd:Q19798744) | official website (wdt:P856)  | <https://www.netflix.com/title/80044950>        |
| The OA (wd:Q19798744) | genre (wdt:P136)             | science fiction television program (wd:Q336059) |
| The OA (wd:Q19798744) | cast member (wdt:P161)       | Jason Isaacs (wd:Q214223)                       |
| The OA (wd:Q19798744) | creator (wdt:P170)           | Brit Marling (wd:Q289380)                       |
| The OA (wd:Q19798744) | start time (wdt:P580)        | 2016-12-16T00:00:00Z (xsd:dateTime)             |
| The OA (wd:Q19798744) | end time (wdt:P582)          | 2019-08-05T00:00:00Z (xsd:dateTime)             |
| ...                   | ...                          | ...                                             |

[Tool]
Got 10 rows and 3 columns:
| subject               | property               | object                        |
| --------------------- | ---------------------- | ----------------------------- |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Jason Isaacs (wd:Q214223)     |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Alice Krige (wd:Q236479)      |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Scott Wilson (wd:Q718135)     |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Brit Marling (wd:Q289380)     |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Phyllis Smith (wd:Q508280)    |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Emory Cohen (wd:Q13563393)    |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Patrick Gibson (wd:Q28003087) |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Brendan Meyer (wd:Q3209068)   |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Ian Alexander (wd:Q56062807)  |
| The OA (wd:Q19798744) | cast member (wdt:P161) | Brandon Perea (wd:Q62505213)  |

[Tool]
Got 2 rows and 3 columns:
| subject               | property           | object                        |
| --------------------- | ------------------ | ----------------------------- |
| The OA (wd:Q19798744) | creator (wdt:P170) | Brit Marling (wd:Q289380)     |
| The OA (wd:Q19798744) | creator (wdt:P170) | Zal Batmanglij (wd:Q13499404) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q95 wdt:P112 wd:Q5284
}

No, Google was not founded by Bill Gates.

[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 http://amur:7001

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] Was Google founded by Bill Gates?

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?founder ?founderLabel WHERE {
  wd:Q848490 wdt:P112 ?founder .
  OPTIONAL {
    ?founder rdfs:label ?founderLabel FILTER ( LANG( ?founderLabel ) = "en" )
  }
}

The Roland Corporation was founded by Ikutaro Kakehashi.

[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 http://amur:7001

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 founded the Roland Corporation?

[Tool]
Top 10 entity alternatives:
1. Roland Corporation, also known as Roland, Roland Corp. (wd:Q848490): Japanese audiovisual equipment company
2. Roland DG, also known as Roland DG Corporation (wd:Q2162714)
3. Roland Foods Corporation (wd:Q23461918): Food importer in New York
4. Roland DGA Corporation (wd:Q22812960): American arm of Roland DG Corporation
5. corporation, also known as corporated entity (wd:Q167037): legal entity incorporated through a legislative or registration process
6. Roland, also known as Rotholandus, Orlando, Hruodlandus, Hruodland (wd:Q207535): Frankish military leader under Charlemagne and main character of the Song of Roland, knight
7. Roland, also known as Roland, IA, Roland, Iowa (wd:Q1925777): city in Iowa
8. Roland, also known as Roland, USA, Roland, Oklahoma, Roland, OK (wd:Q2321457): town in Sequoyah County, Oklahoma, USA
9. Roland (wd:Q1068487): male given name
10. Roland, also known as Euromissile Roland, Roland SAM, MIM-115, Roland missile (wd:Q705254): 1960s surface-to-air missile system of Franco-German origin

[Tool]
Got 1 row and 2 columns:
| founder                        | founderLabel           |
| ------------------------------ | ---------------------- |
| Ikutaro Kakehashi (wd:Q322845) | Ikutaro Kakehashi (en) |

[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/>
ASK WHERE {
  wd:Q641 p:P17 ?stmt .
  ?stmt ps:P17 wd:Q131964 .
}

Yes. Venice has a P17 statement with Austrian Empire (Q131964), indicating it belonged to the Austrian Empire at some point.

[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 http://amur:7001

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] Did Venice at any point belong to the Austrian Empire?

[Tool]
Got 1 row and 3 columns:
| subject             | property          | object               |
| ------------------- | ----------------- | -------------------- |
| Amsterdam (wd:Q727) | country (wdt:P17) | Netherlands (wd:Q55) |

[Tool]
Top 10 entity alternatives:
1. Venice, also known as Venice, Italy, Venezia, Venexia, Serenissima, Venetia (wd:Q641): capital city of Veneto, Italy
2. Republic of Venice, also known as The Serenissima, Duchy of Venetia, Venice Republic, Venice, Venezia Republic (wd:Q4948): former state in Northeastern Italy (697–1797)
3. Venice, also known as Venice, California, Venice, Los Angeles, Venice, CA (wd:Q773853): beachfront neighborhood in Los Angeles, California, USA
4. Venice, also known as Venice, Florida, Venice, FL (wd:Q57325): city in Sarasota County, Florida, United States
5. Venice, also known as IL, Venice, IL, Venice, Illinois (wd:Q579637): city in Illinois, United States
6. Venice, also known as Venice, LA, Venice, Louisiana (wd:Q962040): census designated place in Plaquemines Parish, Louisiana, United States
7. Venice, also known as Venice, Nebraska, Venice, NE (wd:Q6160341): census-designated place in Nebraska
8. Venice, also known as Venice, New York (wd:Q607094): town in Cayuga County, New York, United States
9. Venice, also known as Venice, UT, Venice, Utah (wd:Q7919964): unincorporated community in Sevier County, Utah, United States
10. Paolo Salviati, also known as P. Salviati, Venice (wd:Q58242413): Italian photographer, 1818-1894, photographer

[Tool]
Top 10 entity alternatives:
1. Austrian Empire, also known as Austria, Kaiserthum Österreich (wd:Q131964): Central European multinational Empire from 1804 to 1867
2. Austrian colonies, also known as Austrian colonial empire, Habsburg Monarchy colonies, List of former Austrian colonies (wd:Q303598): colonial attempts by the Austrian and later Austrian-Hungarian Empires
3. Imperial Crown of Austria, also known as Austrian Imperial Crown, Austrian Crown, Crown of the Austrian Empire, Crown of Rudolf II (wd:Q303507): Crown of the Emperor of Austria
4. Minister-President of Austria, also known as Minister-president of Austria, Minister-President of the Austrian Empire (wd:Q15902790): head of government of the Austrian Empire
5. economy of the Austrian Empire (wd:Q3718694): economy of the region
6. Constitutions of the Austrian Empire (wd:Q56364899)
7. ambassador to the Austrian Empire (wd:Q110636887): 1804-1867
8. ambassador of the Austrian Empire, also known as ambassador of Austria, Austrian ambassador (wd:Q106085599): 1804-1867
9. foreign minister of Austrian Empire (wd:Q130805004): position (–1867)
10. 1850 stamps of the Austrian Empire (wd:Q1447304)

[Tool]
Got 1 row and 1 column:
| country        |
| -------------- |
| Italy (wd:Q38) |

[Tool]
Got 7 rows and 3 columns:
| subject          | property        | object                                      |
| ---------------- | --------------- | ------------------------------------------- |
| Venice (wd:Q641) | country (p:P17) | s:Q641-1715f01f-48da-dabb-ffbd-78904b6df26a |
| Venice (wd:Q641) | country (p:P17) | s:Q641-4bc8c581-4af7-e0b8-cf56-472bfde9c3b2 |
| Venice (wd:Q641) | country (p:P17) | s:Q641-7d8688bc-46e8-566e-e411-6b7939ee990c |
| Venice (wd:Q641) | country (p:P17) | s:Q641-a72bfc03-4294-9a3b-beba-3723ceb5d623 |
| Venice (wd:Q641) | country (p:P17) | s:Q641-cb7d34c2-4235-1c92-6541-3301a37b5219 |
| Venice (wd:Q641) | country (p:P17) | s:q641-D703F4BF-697D-4212-9672-731D736D1C33 |
| Venice (wd:Q641) | country (p:P17) | s:Q641-de15f992-4343-a259-8105-f2028c5a2d40 |

[Tool]
Got 6 rows and 1 column:
| country                        |
| ------------------------------ |
| Austrian Empire (wd:Q131964)   |
| France (wd:Q142)               |
| Habsburg monarchy (wd:Q153136) |
| Kingdom of Italy (wd:Q223936)  |
| Italy (wd:Q38)                 |
| Republic of Venice (wd:Q4948)  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?work ) AS ?count ) WHERE {
  ?work wdt:P144 wd:Q79037 ; wdt:P674 wd:Q1621261 .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[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 http://amur:7001

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] How many works that are based on Spider-Man has Venom been a part of?

[Tool]
Top 10 entity alternatives:
1. Spider-Man, also known as Wallcrawler, The Amazing Spider-Man, The Human Spider, The Fantastic Spider-Man, Web-slinger (wd:Q79037): fictional character in Marvel Comics, photographer, scientist, superhero, inventor, teacher
2. Spider-Man (wd:Q484442): 2002 American film directed by Sam Raimi
3. Spider-Man, also known as Marvel's Spider-Man (wd:Q25340029): 2018 video game developed by Insomniac Games
4. Spider-Man, also known as Spider-Man: The Animated Series (wd:Q569934): American animated television series from 1994–1998
5. Miles Morales, also known as Ultimate Spider-Man, Spider-Man, Miles Gonzalo Morales (wd:Q59826): fictional character in Marvel Comics, superhero, student
6. Spider-Man, also known as Spider-Man 2000 (wd:Q288296): 2000 video game
7. Peter Parker, also known as Peter #1, Peter 1, Peter One, Peter-One, Spider-Man (wd:Q23991129): fictional character from the Marvel Cinematic Universe
8. Marvel's Spider-Man, also known as Spider-Man (wd:Q28207200): American animated television series
9. Spider-Man, also known as Supaidāman (wd:Q2087538): Japanese-US late 1970's television series
10. Spider-Man (wd:Q2333456): US late 1960s animated television series

[Tool]
Top 10 entity alternatives:
1. Venom (wd:Q23006268): 2018 American film directed by Ruben Fleischer
2. Venom (wd:Q192861): British heavy metal band
3. Venom (wd:Q1621261): fictional character in Marvel Comics
4. venom, also known as animal venom, venoms, zootoxin (wd:Q3386847): mixture of toxins and other substances secreted by an animal for the purpose of causing harm to another
5. UH-1Y Venom, also known as Venom, UH1Y Venom, UH-1Y Super Huey, UH-1 Venom, Super Huey (wd:Q2529305): military utility helicopter model by Bell
6. DH.112 Venom, also known as Venom, DH112, de Havilland Venom, de Havilland DH 112, de Havilland DH.112 Venom (wd:Q284767): 1949 fighter aircraft family by de Havilland
7. Michael Page, also known as MVP, the venenous cactus, Venom, Michael Jerome Reece-Page (wd:Q6833334): Brazilian jiu-jitsu practitioner, English mixed martial artist, mixed martial arts fighter, martial artist, kickboxer, karateka, boxer
8. Eddie Brock, also known as King in Black, Toxin, Venom, Edward Charles Brock, Anti-Venom (wd:Q2604715): fictional character in Marvel Comics, government agent, supervillain, superhero, vigilante, reporter
9. Venom, also known as Venom (Music from the Motion Picture) (wd:Q57326696): 2018 song by Eminem
10. Venom (wd:Q1757437): 1981 film by Tobe Hooper

[Tool]
Got 10 rows and 1 column:
| work                                                                 |
| -------------------------------------------------------------------- |
| Spider-Man: No Way Home - The More Fun Stuff Version (wd:Q113471777) |
| wd:Q116250259                                                        |
| Spider-Man 2099 (wd:Q2092660)                                        |
| The Amazing Spider-Man (wd:Q229808)                                  |
| Ben Reilly (wd:Q2343504)                                             |
| Peter Parker (wd:Q23991129)                                          |
| Spider-Man and the X-Men in Arcade's Revenge (wd:Q2748343)           |
| The Amazing Adventures of Spider-Man (wd:Q3519756)                   |
| Spider-Ham (wd:Q3966700)                                             |
| Spider-Man Noir (wd:Q3966701)                                        |

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. characters, also known as appears in this work (wd:P674 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): characters which appear in this item (like plays, operas, operettas, books, comics, films, TV series, video games)
2. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
3. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
4. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): generic character type that this fictional character represents, manifestation of
5. character role, also known as role, plays, performer of, as, acting role (wd:P453 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
6. personality trait of fictional character, also known as personality trait, personality trait of fictitious character, personal quality of fictional character, fictitious character personality trait, personal quality of fictitious character (wd:P9652 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): particular personality trait which applies to this fictional character
7. CJKV variant character, also known as simplified character, traditional character, variant character, variant Chinese character, variant ideograph (wd:P5475 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): equivalent form of this CJKV character used in different regions or writing systems over time
8. list of characters (wd:P1881 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): Wikimedia page with the list of characters for this work, has list
9. from narrative universe, also known as from narrative, in continuity, from universe, in cycle, in world of (wd:P1080 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): subject's fictional entity is in the object narrative. See also P1441 (present in work) and P1445 (fictional universe described in), part of
10. uses, also known as uses trope, used, using, wielded, wields (wd:P2283 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520])

[Tool]
Got 8 rows and 3 columns:
| subject                 | property              | object                        |
| ----------------------- | --------------------- | ----------------------------- |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Spider-Man (wd:Q79037)        |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Green Goblin (wd:Q735721)     |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Mary Jane Watson (wd:Q27810)  |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Uncle Ben (wd:Q2299139)       |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Norman Osborn (wd:Q17090877)  |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Harry Osborn (wd:Q60464979)   |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | May Parker (wd:Q23991271)     |
| Spider-Man (wd:Q484442) | characters (wdt:P674) | Bonesaw McGraw (wd:Q55938790) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool] Got no rows and 3 columns

[Tool]
Got 5 rows and 3 columns:
| subject                                             | property              | object              |
| --------------------------------------------------- | --------------------- | ------------------- |
| Spider-Man 3 (wd:Q2337769)                          | characters (wdt:P674) | Venom (wd:Q1621261) |
| Marvel Rivals (wd:Q125175413)                       | characters (wdt:P674) | Venom (wd:Q1621261) |
| Marvel vs. Capcom 2: New Age of Heroes (wd:Q383700) | characters (wdt:P674) | Venom (wd:Q1621261) |
| Marvel vs. Capcom: Infinite (wd:Q27971937)          | characters (wdt:P674) | Venom (wd:Q1621261) |
| Marvel Contest of Champions (wd:Q18643731)          | characters (wdt:P674) | Venom (wd:Q1621261) |

[Tool]
Got 1 row and 3 columns:
| subject                    | property            | object                    |
| -------------------------- | ------------------- | ------------------------- |
| Spider-Man 3 (wd:Q2337769) | based on (wdt:P144) | Spider-Man 3 (wd:Q182212) |

[Tool]
Top 10 property alternatives:
1. media franchise, also known as franchise, mass media franchise, media mix, presented in media franchise (wd:P8345 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): this creative work belongs to this media franchise
2. franchisor, also known as franchise, franchiser (wd:P10680 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): one who licenses some or all of its know-how, procedures, intell...rights to sell its branded products and services to a franchisee
3. The Numbers franchise ID (wd:P11502 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier of a movie franchise at The Numbers
4. IGN franchise ID (wd:P12843 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a franchise on IGN.com
5. separated from, also known as branched from, broke from, forked from, schism from, seceded from (wd:P807 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): subject was founded or started by separating from identified object
6. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
7. Internet Game Database franchise ID, also known as IGDB franchise ID (wd:P11573 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a video game franchise on IGDB
8. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
9. Gamekult franchise ID (wd:P7912 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier of a video game franchise in the Gamekult database
10. 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a film series at The Movie Database

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Only two of subject, property, or object should be provided.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 20 (xsd:int) |

[Tool]
Got 20 rows and 3 columns, showing the first 10 rows below:
| subject                                                    | property            | object                 |
| ---------------------------------------------------------- | ------------------- | ---------------------- |
| The Amazing Spider-Man (wd:Q229808)                        | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Peter Parker (wd:Q23991129)                                | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Spider-Man 2099 (wd:Q2092660)                              | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Ben Reilly (wd:Q2343504)                                   | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Peter Parker (wd:Q60464931)                                | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Peter Parker (wd:Q98454793)                                | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Spider-Ham (wd:Q3966700)                                   | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Spider-Man Noir (wd:Q3966701)                              | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| Spider-Man and the X-Men in Arcade's Revenge (wd:Q2748343) | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| The Amazing Adventures of Spider-Man (wd:Q3519756)         | based on (wdt:P144) | Spider-Man (wd:Q79037) |
| ...                                                        | ...                 | ...                    |

[Tool] Got no rows and 1 columns

[Tool]
Top 10 entity alternatives:
1. Spider-Man 3 (wd:Q182212): 2007 American film directed by Sam Raimi
2. Spider-Man 3 (wd:Q2337769): 2007 video game
3. Spider-Man 3 (wd:Q2709190): 2007 album
4. Spider-Man, season 3, also known as Spider-Man: The Animated Series season 3 (wd:Q11864076): season of television series
5. The Amazing Spider-Man 3, also known as Amazing Spider-Man 3 (wd:Q29514854): cancelled film project
6. The Amazing Spider-Man #4, also known as Amazing Spider-Man #3, Amazing Spider-Man 4, Amazing Spider-Man Vol 1 #4, Amazing Spider-Man Vol 1 4, Nothing Can Stop... the Sandman! (wd:Q111795445): 1963 comic book issue
7. The Amazing Spider-Man #3, also known as Amazing Spider-Man #3, Amazing Spider-Man 3, Amazing Spider-Man Vol 1 #3, Amazing Spider-Man Vol 1 3, Spider-Man Versus Doctor Octopus (wd:Q111795406): 1963 comic book issue
8. Ultimate Spider-Man, season 3 (wd:Q18417784): season of television series
9. Amazing Spider-Man, also known as Amazing Spider-Man vol 3, The Amazing Spider-Man, The Amazing Spider-Man vol 3 (wd:Q125252682): 2014 comic book ongoing series
10. The Amazing Spider-Man #39, also known as How Green Was My Goblin!, The Amazing Spider-Man 39, Amazing Spider-Man Vol 1 39, Amazing Spider-Man Vol 1 #39, Amazing Spider-Man 39 (wd:Q115411095): 1966 comic book issue

[Tool]
Top 10 property alternatives:
1. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): series which contains the subject, part of
2. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): art, museum, archival, or bibliographic collection of which the subject is part, part of
3. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): season of a series (televison, web, podcast), part of
4. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of episodes in a film/TV/radio series, number of parts of this work
5. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
6. MusicBrainz series ID, also known as MBS, MB series ID, MusicBrainz ID, Series ID, Series MBID (wd:P1407 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for a series per the MusicBrainz open music encyclopedia
7. number of representations, also known as shows, performances, number of shows, number of concerts, no. of shows (wd:P5027 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of shows (including the premiere) of a concert tour or a performing arts production
8. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
9. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of seasons a television or radio series has had, number of parts of this work
10. volume, also known as volume of serial, volume of a book, volume number, vol., tome (wd:P478 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): volume of a book or music release in a collection/series or a published collection of journal issues in a serial publication

[Tool] Got no rows and 3 columns

[Tool]
Got 1 row and 3 columns:
| subject                   | property              | object                 |
| ------------------------- | --------------------- | ---------------------- |
| Spider-Man 3 (wd:Q182212) | characters (wdt:P674) | Spider-Man (wd:Q79037) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?predecessor ?predecessorLabel WHERE {
  wd:Q1115291 wdt:P1365 ?predecessor .
  OPTIONAL {
    ?predecessor rdfs:label ?predecessorLabel FILTER ( LANG( ?predecessorLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| predecessor                    | predecessorLabel       |
| ------------------------------ | ---------------------- |
| Ayutthaya Kingdom (wd:Q841364) | Ayutthaya Kingdom (en) |

The kingdom that preceded the Thonburi Kingdom is the Ayutthaya Kingdom (wd:Q841364).

[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 http://amur:7001

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

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

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

[User] Which kingdom preceded the Thonburi Kingdom ?

[Tool]
Top 10 entity alternatives:
1. Thonburi Kingdom (wd:Q1115291): former country
2. kingdom, also known as regna, regnum (wd:Q36732): taxonomic rank
3. realm, also known as kingdom, kingdom (politics) (wd:Q1250464): denomination of a particular political entity, which is theoreti...ts political regime; but not necessarily identified with a state
4. The Kingdom, also known as Kingdom (wd:Q467582): 2007 film directed by Peter Berg
5. Kingdom (wd:Q30947892): 2019 South Korean TV series
6. kingdom, also known as realm (wd:Q417175): state over which a king or queen rules
7. Thonburi, also known as Thonburi Si Mahasamut (wd:Q6580711): area of Bangkok
8. Kingdom, also known as Kingudamu (wd:Q1058984): Japanese manga series
9. Kingdom (wd:Q18328031): 2014 TV series
10. Finnjet, also known as GTS Finnjet, IMO 7359632, Kingdom (wd:Q1418193): ship built in 1977

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. replaces, also known as supersedes, succeeds, replaced, previous job holder, preceded by (wd:P1365 as p/wdt): person, state or item replaced. Use "structure replaces" (P1398)...item was not replaced or predecessor and successor are identical, follows
2. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
4. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as p/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
5. 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)
6. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
7. 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

[Tool]
Got 1 row and 3 columns:
| subject                        | property             | object                         |
| ------------------------------ | -------------------- | ------------------------------ |
| Thonburi Kingdom (wd:Q1115291) | replaces (wdt:P1365) | Ayutthaya Kingdom (wd:Q841364) |

[Tool]
Got 1 row and 2 columns:
| predecessor                    | predecessorLabel       |
| ------------------------------ | ---------------------- |
| Ayutthaya Kingdom (wd:Q841364) | Ayutthaya Kingdom (en) |

[Tool] Stopped generation process