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

The TV show Riverdale was first aired in the year 2017.

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

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

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

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

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

[User] What year was Riverdale first aired?

[Assistant] To answer the question about when Riverdale was first aired, I need to identify the entity representing the TV show "Riverdale" and then find the property that represents the year it was first aired. Let's start by searching for the entity "Riverdale" in the Wikidata knowledge graph.

[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

[Assistant] From the search results, the first entry corresponds to the TV show "Riverdale". The entity identifier for the TV show "Riverdale" is `wd:Q23001951`. Next, I need to find the property that represents the year a TV show was first aired. I'll search for properties related to the concept of "first air date" or "start year".

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date or point in time when a work was first published or released, point in time
2. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date a work was first debuted, performed or live-broadcasted, publication date
3. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): work in which a fictional/mythical character or entity first appeared, present in work
4. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
5. debut date (wd:P10673 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date when a person or group is considered to have "debuted"
6. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): location where a work was first debuted, performed or broadcasted, significant place
7. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): series which contains the subject, part of
8. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): participant for whom this is their debut appearance in a series of events
9. season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): season of a series (televison, web, podcast), part of
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): time when an entity begins to exist; for date of official opening use P1619, start time

[Assistant] The property `wdt:P577` (publication date) seems to be the most appropriate for finding the year a TV show was first aired. Now, I will construct a SPARQL query to retrieve the first air date of the TV show "Riverdale" (wd:Q23001951).

[Tool] Got no rows and 1 columns

[Assistant] It appears that the property `wdt:P577` does not contain the information for the first air date of the TV show "Riverdale". I will try another approach by looking for the property that specifically relates to the start year of a TV series. I will search for properties related to "start year" or "beginning year".

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): time when an entity begins to exist; for date of official opening use P1619, start time
2. start time, also known as start date, since, valid, join time, joined (wd:P580 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): time an entity begins to exist or a statement starts being valid, point in time
3. point in time, also known as at time, as of, year, when, time of event (wd:P585 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
4. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
5. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): when a specific holiday or periodic event occurs. Can be used as property or qualifier
6. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): founder or co-founder of this organization, religion, place or entity, creator
7. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date when a bill was introduced into a legislature, inception
8. Gregorian calendar start date, also known as adoption of the Gregorian calendar, Gregorian calendar first used, first date (N.S.) (wd:P7295 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date the Gregorian calendar was first used
9. start point, also known as start location, launch pad, launch site, starting place, starting point (wd:P1427 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): starting place of this journey, flight, voyage, trek, migration etc., source of transfer, location
10. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date when company, organization or city was incorporated

[Assistant] The property `wdt:P580` (start time) seems to be the most relevant for finding the start year of a TV series. I will now construct a SPARQL query to retrieve the start year of the TV show "Riverdale" (wd:Q23001951).

[Tool]
Got 1 row and 1 column:
| ?startDate           |
| -------------------- |
| 2017-01-26T00:00:00Z |

[Assistant]
The SPARQL query returned the start date of the TV show "Riverdale" as January 26, 2017. Therefore, the year when Riverdale was first aired is 2017.

I will now provide the final SPARQL query and the answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?title ?label WHERE {
  wd:Q100387742 rdfs:label ?label .
  FILTER ( LANG( ?label ) = 'en' ) .
  BIND( wd:Q100387742 AS ?title )
}

An 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] What do you call a female form of an emperor in English?

[Assistant] To answer this question, I need to find out what the female form of an emperor is called in English. I suspect this might be a specific title or role, so I'll search for properties related to "emperor" and "female" to see if I can find a relevant term.

[Tool]
Top 10 property alternatives:
1. 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)
2. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused

No other items found

[Assistant] The search for properties related to "emperor" and "female" did not yield any direct results. However, I can try searching for the term "empress" directly, as it is commonly known to be the female counterpart to an emperor.

[Tool]
Top 10 entity alternatives:
1. emperor, also known as empress, imperator (wd:Q39018): type of monarch
2. Apaturopsis, also known as Empress (wd:Q773377): genus of insects
3. Canadian Pacific Air Lines, also known as CP, CPC, EMPRESS (wd:Q986941): former Canadian airline, acquired by Canadian Airlines
4. Empress, also known as Empress, AB, Empress, Alberta (wd:Q3396172): village of Alberta, Canada
5. chancellor, also known as rook–knight compound, wolf, rook-knight compound, marshall, marshal (wd:Q646324): fairy chess piece that can move like a rook or a knight
6. empress (wd:Q100387742): imperial title held by a female monarch or consort
7. Empress, also known as EmpressEvolution, Empress Evolution, C000005 (wd:Q116985828): video game cracker, cracker, hacker
8. Empress (wd:Q5374452): novel
9. empress regnant, also known as Empress, Empress Regnant, Maharani (wd:Q15264045): female monarch of Imperial Rank who rules an Empire in her own right
10. HMS Empress, also known as Empress, Empress seaplane carrier (wd:Q4354594): 1914 seaplane carrier

[Assistant]
From the search results, the most relevant entity is `wd:Q100387742`, which is described as "imperial title held by a female monarch or consort". This seems to be the correct answer to the question.

Now, I will construct a SPARQL query to confirm this and retrieve the label of this entity.

[Tool]
Got 1 row and 2 columns:
| ?title                  | ?label  |
| ----------------------- | ------- |
| empress (wd:Q100387742) | empress |

[Assistant]
The SPARQL query confirms that the female form of an emperor in English is called an "empress".

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?president ?presidentLabel WHERE {
  wd:Q154797 wdt:P488 ?president .
  OPTIONAL {
    ?president rdfs:label ?presidentLabel FILTER ( LANG( ?presidentLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| ?president  | ?presidentLabel |
| ----------- | --------------- |
| wd:Q1019016 | Bärbel Bas      |

The current president of the German Bundestag is [Bärbel Bas](wd:Q1019016).

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

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

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

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

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

[User] Who is the current president of the German Bundestag currently?

[Assistant] To answer the question about the current president of the German Bundestag, I need to identify the relevant entity for the German Bundestag and the property that denotes its president. Let's start by searching for the entity representing the German Bundestag.

[Tool]
Top 10 entity alternatives:
1. German Bundestag, also known as Bundestag of Germany, German parliament (wd:Q154797): legislature of Germany; parliament
2. 21st German Bundestag, also known as Twenty-first German Bundestag (wd:Q124661964): legislative term from 2025 to 2029 (expected)
3. 20th German Bundestag, also known as Twentieth German Bundestag (wd:Q33091469): legislative term from 2021 to 2025
4. 1st German Bundestag, also known as First German Bundestag (wd:Q30542687): legislative term from 1949 to 1953
5. 2nd German Bundestag, also known as Second German Bundestag (wd:Q30542689): legislative term from 1953 to 1957
6. 19th German Bundestag, also known as Nineteenth German Bundestag (wd:Q30579723): legislative term from 2017 to 2021
7. 18th German Bundestag, also known as Eighteenth German Bundestag (wd:Q15081430): legislative term from 2013 to 2017
8. 10th German Bundestag, also known as Tenth German Bundestag (wd:Q30542755): legislative term from 1983 to 1987
9. 17th German Bundestag, also known as Seventeenth German Bundestag (wd:Q30542764): legislative term from 2009 to 2013
10. 16th German Bundestag, also known as Sixteenth German Bundestag (wd:Q30542763): legislative term from 2005 to 2009

[Assistant] The first result is the entity for the German Bundestag (wd:Q154797). Next, I need to find the property that represents the president of the German Bundestag. I will search for properties related to "president" or "chairman" of the German Bundestag.

[Tool]
Top 10 property alternatives:
1. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as p/wdt): presiding member of an organization, group or body, director / manager, significant person
2. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdt/p): position of the head of this item
3. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as wdt/p): total number of seats/members in an assembly (legislative house or similar)
6. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as p/wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
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. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
9. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
10. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL

No other items found

[Assistant] The property "chairperson" (wd:P488) seems to be the most relevant for identifying the president of the German Bundestag. Now, I will construct a SPARQL query to find the current president of the German Bundestag using these entities and properties.

[Tool]
Got 1 row and 1 column:
| ?president  |
| ----------- |
| wd:Q1019016 |

[Assistant] The current president of the German Bundestag is represented by the entity `wd:Q1019016`. To provide a complete answer, I will include the label of this entity in the SPARQL query.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?actor WHERE {
  wd:Q19798744 wdt:P161 ?actor .
  wd:Q19798744 wdt:P170 ?actor .
}

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

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

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

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

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

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

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

[Assistant] To answer this question, we need to identify the creators of "The OA" and then check if any of them also acted in the show. Let's start by searching for "The OA" in the Wikidata knowledge graph.

[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

[Assistant] We found "The OA" as a 2016 American mystery drama television series with the identifier `wd:Q19798744`. Next, we need to find the creators of this series. We'll search for properties related to creators or producers of a TV series.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): founder or co-founder of this organization, religion, place or entity, creator
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): maker of this creative work or other object (where no more specific property exists)
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): notable scientific, artistic or literary work, or other work of significance among subject's works
7. possible creator, also known as creator (possible), attributed to (wd:P1779 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): for a creative work with considerable uncertainty about the author
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): organization or person that developed the item, creator
9. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): text through which an institution or object has been created or established

[Assistant]
From the list of properties, `wdt:P170` (creator) seems to be the most relevant for identifying the creator of a TV series. We will use this property to find the creators of "The OA". After identifying the creators, we will check if any of them also acted in the show by looking for their roles in the series.

Let's first find the creators of "The OA".

[Tool]
Got 2 rows and 1 column:
| ?creator                      |
| ----------------------------- |
| Zal Batmanglij (wd:Q13499404) |
| Brit Marling (wd:Q289380)     |

[Assistant]
We found two creators of "The OA": Zal Batmanglij (`wd:Q13499404`) and Brit Marling (`wd:Q289380`). Next, we need to check if either of these individuals also acted in the show. To do this, we will look for actors of "The OA" and see if either of these creators is listed as an actor.

Let's find the actors of "The OA" using the `wdt:P161` property, which represents the actors of a TV series.

[Tool]
Got 10 rows and 1 column:
| ?actor                        |
| ----------------------------- |
| Emory Cohen (wd:Q13563393)    |
| Jason Isaacs (wd:Q214223)     |
| Alice Krige (wd:Q236479)      |
| Patrick Gibson (wd:Q28003087) |
| Brit Marling (wd:Q289380)     |
| Brendan Meyer (wd:Q3209068)   |
| Phyllis Smith (wd:Q508280)    |
| Ian Alexander (wd:Q56062807)  |
| Brandon Perea (wd:Q62505213)  |
| Scott Wilson (wd:Q718135)     |

[Assistant]
We found that Brit Marling (`wd:Q289380`) is listed as an actor in "The OA". Since Brit Marling is also one of the creators of the show, she is the person who both created and acted in "The OA".

Now, let's construct the final SPARQL query to confirm this information and provide the answer.

[Tool] Stopped generation process


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

False

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

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

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

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

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

[User] Was Google founded by Bill Gates?

[Assistant] To answer this question, I need to verify if Bill Gates is listed as a founder of Google in the Wikidata knowledge graph. First, I will search for the entity representing Google and the entity representing Bill Gates.

[Tool]
Top 10 entity alternatives:
1. Google, also known as google.com, Google LLC, Google, Inc., Google Inc., Big G (wd:Q95): American multinational technology company, a subsidiary of Alphabet Inc.
2. Google, also known as Big G, google.com, Google Inc., Google LLC, Google, Inc. (wd:Q95): American multinational technology company, a subsidiary of Alphabet Inc.
3. Google Search, also known as BackRub, goo.gle, Google, google.com, Google homepage (wd:Q9366): search engine by Google LLC
4. Alphabet Inc., also known as Alphabet, Alphabet company, Alphabet Inc, Alphabet, Inc, Alphabet, Inc. (wd:Q20800404): American multinational technology conglomerate
5. Google+, also known as G+, Google Plus (wd:Q356): social networking service
6. .google, also known as dot google (wd:Q20573262): top-level Internet domain
7. google, also known as to google, googling (wd:Q1156923): transitive verb, meaning to search for something using the Google search engine
8. Google Google (wd:Q123412777): Tamil song from Thuppakki movie
9. Archaeology & Language, also known as Google (wd:Q23301814): 1998 Pimlico edition
10. Google Canada, also known as Google, Google Kitchener-Waterloo, Google Waterloo (wd:Q30338099)

[Tool]
Top 10 entity alternatives:
1. Bill Gates, also known as William Gates, William H. Gates, William H. Gates III, William Henry "Bill" Gates, William Henry Gates III (wd:Q5284): American businessman, investor, and philanthropist (born 1955), philanthropist, entrepreneur, programmer
2. Bill Gates, also known as William Henry "Bill" Gates III, William Henry Gates, William Henry Gates III, William H. Gates, William H. Gates III (wd:Q5284): American businessman, investor, and philanthropist (born 1955), philanthropist, entrepreneur, programmer
3. Bill Gates, also known as William Lazenby Gates (wd:Q123411797): English footballer (1944–2023), association football player
4. Bill Gates (wd:Q100794547): college basketball player (1959–1959) Boston University, basketball player
5. Bill Gates Sr., also known as William Henry Gates II (wd:Q684014): American attorney and philanthropist (1925–2020), philanthropist, businessperson, lawyer
6. Bill Gates' flower fly, also known as Eristalis gatesi (wd:Q1953052): flower fly species
7. Bill Gates's house, also known as Xanadu 2.0 (wd:Q371973): building
8. Bill Gates Must Die (wd:Q22043547): 2000 song performed by John Vanderslice
9. Email to Bill Gates (wd:Q23562744): 2007 film by Josh Broecker
10. Bill Gates funds geoengineering (wd:Q115430184): scientific article published in 2010

[Assistant] From the search results, I found the correct entities for Google (wd:Q95) and Bill Gates (wd:Q5284). Next, I will check if Bill Gates is listed as a founder of Google by searching for the founders of Google using the `list` function.

[Tool]
Got 2 rows and 3 columns:
| subject         | property              | object                  |
| --------------- | --------------------- | ----------------------- |
| Google (wd:Q95) | founded by (wdt:P112) | Larry Page (wd:Q4934)   |
| Google (wd:Q95) | founded by (wdt:P112) | Sergey Brin (wd:Q92764) |

[Assistant] Based on the list of founders for Google, it appears that Larry Page (wd:Q4934) and Sergey Brin (wd:Q92764) are listed as the founders, not Bill Gates (wd:Q5284). Therefore, the answer to the question "Was Google founded by Bill Gates?" is False. I will now provide the SPARQL query to confirm this.

[Tool] Stopped generation process


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

Ikutaro Kakehashi (wd:Q322845) founded the Roland Corporation.

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

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

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

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

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

[User] Who founded the Roland Corporation?

[Assistant]
To answer the question "Who founded the Roland Corporation?", I need to identify the entity representing Roland Corporation and the property that represents the founder(s) of an organization.

First, I will search for the entity representing 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

[Assistant] The first result is the correct entity for Roland Corporation (wd:Q848490). Next, I need to find the property that represents the founder(s) of an organization. I will search for properties related to "founder" or "founding".

[Tool]
Top 10 property alternatives:
1. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): founder or co-founder of this organization, religion, place or entity, creator
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): notable scientific, artistic or literary work, or other work of significance among subject's works
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): time when an entity begins to exist; for date of official opening use P1619, start time
4. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
5. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): maker of this creative work or other object (where no more specific property exists)
6. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
7. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): location where a group or organization was formed, location of creation
8. discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory
9. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): most specific known birth location of a person, animal or fictional character, location

[Assistant] The property "founded by" (wd:P112) seems to be the appropriate one to represent the founders of an organization. Now, I will construct a SPARQL query to find the founders of Roland Corporation (wd:Q848490).

[Tool]
Got 1 row and 1 column:
| ?founder                       |
| ------------------------------ |
| Ikutaro Kakehashi (wd:Q322845) |

[Assistant]
The SPARQL query returned Ikutaro Kakehashi (wd:Q322845) as the founder of Roland Corporation.

Now, I will provide the final answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q4948 wdt:P797 wd:Q131964
}

False

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

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

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

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

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

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

[Assistant]
To answer this question, we need to identify the entities "Venice" and "Austrian Empire" and then check if there's a historical relationship indicating that Venice was part of the Austrian Empire at some point.

First, let's find the Wikidata IDs for "Venice" and "Austrian Empire".

[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)

[Assistant]
From the search results, we can see that the relevant entities for our query are:

- **Venice**: `wd:Q4948` (Republic of Venice)
- **Austrian Empire**: `wd:Q131964`

Next, we need to find out if there is any historical relationship between these two entities indicating that the Republic of Venice was part of the Austrian Empire at some point. We can look for properties that might indicate such a relationship, such as "was part of" or "ruled by". Let's search for properties related to these concepts.

[Tool]
Top 10 property alternatives:
1. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
2. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): part, aspect, or form of the item to which the claim applies
4. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): object that partially overlaps with the subject in its instances, parts, or members, different from
5. proportion, also known as %, share, ratio, part, percent (wd:P1107 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): to be used as a qualifier, value must be between 0 and 1
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
8. depicted part, also known as part depicted, part shown, shown part (wd:P5961 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): use as qualifier for "depicts" (P180)
9. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

[Tool]
Top 10 property alternatives:
1. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): entity having executive power on given entity
2. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): person, profession, organization or entity that operates the equipment, facility, or service, used by
3. maintained by, also known as custodian, maintenance, maintainer, held by, administrator (wd:P126 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): person or organization in charge of keeping the subject (for instance an infrastructure) in functioning order
4. main regulatory text, also known as regulated by, statutory authorization, statutory authority, legally established by, legal basis (wd:P92 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): text setting the main rules by which the subject is regulated
5. regulated by, also known as regulator, regulatory authority (wd:P3719 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): organization that acts as regulator of an activity, financial market, or stock exchange
6. commanded by, also known as captain, commander, commanding officer (wd:P4791 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): commander of a military unit/army/security service, operation, etc.
7. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
8. statement is subject of, also known as statement is the subject of, subject of the statement, subject of the claim, subject of, related item of statement (wd:P805 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): (qualifying) item that describes the relation identified in this statement
9. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): owner of the subject
10. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): founder or co-founder of this organization, religion, place or entity, creator

[Assistant]
Based on the search results, the relevant properties that might indicate a historical relationship between the Republic of Venice and the Austrian Empire are:

- **Part of** (`wdt:P361`): This property indicates that something is a part of another entity.
- **Authority** (`wdt:P797`): This property indicates the entity having executive power over another entity.

We'll start by checking if the Republic of Venice (`wd:Q4948`) was ever part of the Austrian Empire (`wd:Q131964`) using the `wdt:P361` property.

Let's construct a SPARQL query to check this relationship.

[Tool] Got no rows and 1 columns

[Assistant]
The initial query did not return any results, meaning that the Republic of Venice (`wd:Q4948`) is not directly listed as being part of the Austrian Empire (`wd:Q131964`) using the `wdt:P361` property.

Next, let's check if the Republic of Venice was under the authority of the Austrian Empire using the `wdt:P797` property. This property indicates the entity having executive power over another entity.

Let's construct a new SPARQL query to check this relationship.

[Tool] False

[Assistant]
The ASK query returned `False`, indicating that the Republic of Venice (`wd:Q4948`) was not under the authority of the Austrian Empire (`wd:Q131964`) according to the `wdt:P797` property.

Since both checks did not yield any positive results, it seems that the Republic of Venice was not officially part of or under the direct authority of the Austrian Empire based on the available data in Wikidata.

Therefore, the answer to the question "Did Venice at any point belong to the Austrian Empire?" is `False`.

I will now provide the final SPARQL query and the answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?work ) AS ?count ) WHERE {
  ?work wdt:P1441 wd:Q79037 .
  ?work wdt:P1441 wd:Q1621261 .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 0      |

There are no works based on Spider-Man in which Venom has been a part, based on the current data in Wikidata.

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

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

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

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

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

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

[Assistant]
To answer this question, we need to identify the entities and properties involved:

1. **Spider-Man**: We need to find the Wikidata ID for Spider-Man.
2. **Venom**: Similarly, we need to find the Wikidata ID for Venom.
3. **Works based on Spider-Man**: We need to find the property that indicates a work is based on Spider-Man.
4. **Venom's participation**: We need to find the property that indicates Venom's participation in a work.

Let's start by finding the Wikidata IDs for Spider-Man and Venom.

[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

[Assistant]
From the search results, we can identify the relevant entities:

- **Spider-Man**: `wd:Q79037` (the fictional character)
- **Venom**: `wd:Q1621261` (the fictional character)

Next, we need to find the properties that indicate a work is based on Spider-Man and that Venom has participated in a work. Let's search for properties related to "based on" and "participation" for these entities.

[Tool]
Top 10 property alternatives:
1. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
2. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
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. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as wdt/p): geographical place of publication of the edition (use 1st edition when referring to works), significant place
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. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as p/wdt): place where the item was conceived or made; where applicable, location of final assembly, significant place
7. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
8. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
9. from narrative universe, also known as from narrative, in continuity, from universe, in cycle, in world of (wd:P1080 as p/wdt): subject's fictional entity is in the object narrative. See also P1441 (present in work) and P1445 (fictional universe described in), part of
10. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as wdt/p): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)

No other items found

[Tool]
Top 10 property alternatives:
1. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as p/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
4. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
5. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
6. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
7. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
8. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)

No other items found

[Assistant]
From the search results, we can identify the relevant properties:

- **Based on**: `wdt:P4969` (derivative work)
- **Participation**: `wdt:P1441` (present in work)

Now, we can construct a SPARQL query to count the number of works that are based on Spider-Man (`wd:Q79037`) and in which Venom (`wd:Q1621261`) has participated.

Here's the SPARQL query:

```sparql
SELECT (COUNT(DISTINCT ?work) AS ?count)
WHERE {
  ?work wdt:P4969 wd:Q79037 .  # Works based on Spider-Man
  ?work wdt:P1441 wd:Q1621261 .  # Venom is present in the work
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 0      |

[Assistant]
The SPARQL query returned a count of 0, indicating that there are no works based on Spider-Man in which Venom has been a part according to the current data in Wikidata.

Given this result, it seems there might be an issue with the properties or entities used. Let's verify if there are any works based on Spider-Man and any works featuring Venom separately to ensure our properties and entities are correct.

First, let's check if there are any works based on Spider-Man using the `wdt:P4969` property.

```sparql
SELECT DISTINCT ?work ?workLabel
WHERE {
  ?work wdt:P4969 wd:Q79037 .
  OPTIONAL { ?work rdfs:label ?workLabel }
}
LIMIT 10
```

Second, let's check if there are any works featuring Venom using the `wdt:P1441` property.

```sparql
SELECT DISTINCT ?work ?workLabel
WHERE {
  ?work wdt:P1441 wd:Q1621261 .
  OPTIONAL { ?work rdfs:label ?workLabel }
}
LIMIT 10
```

We'll execute both queries to verify the data.

[Tool] Got no rows and 2 columns

[Tool] Got no rows and 2 columns

[Assistant]
Both queries returned no results, indicating that there are no works listed in Wikidata that are based on Spider-Man using the `wdt:P4969` property or that feature Venom using the `wdt:P1441` property.

This suggests that either the properties or the entities might not be correctly capturing the relationships we are interested in. Let's try to explore alternative properties or entities.

### Alternative Properties
- For works based on Spider-Man, we can try using `wdt:P1441` (present in work) directly to see if there are any works featuring Spider-Man.
- For Venom's participation, we can also use `wdt:P1441`.

Let's modify the query to check for works featuring Spider-Man and Venom using `wdt:P1441`:

```sparql
SELECT (COUNT(DISTINCT ?work) AS ?count)
WHERE {
  ?work wdt:P1441 wd:Q79037 .  # Works featuring Spider-Man
  ?work wdt:P1441 wd:Q1621261 .  # Works featuring Venom
}
```

We'll execute this modified query to see if it returns any results.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 0      |

[Assistant]
The modified query also returned a count of 0, indicating that there are no works featuring both Spider-Man and Venom according to the current data in Wikidata.

Given that both approaches did not yield any results, it appears that the data in Wikidata might not fully capture the relationships between works, Spider-Man, and Venom in the way we are querying.

Since we have exhausted the straightforward approaches and the data does not seem to support the query, I will conclude that there are no works based on Spider-Man in which Venom has been a part, based on the current data in Wikidata.

Let's finalize this with the answer function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?predecessor WHERE {
  wd:Q1115291 wdt:P1365 ?predecessor .
}

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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] Which kingdom preceded the Thonburi Kingdom ?

[Assistant] To answer this question, we need to identify the entity representing the Thonburi Kingdom and then find the kingdom that preceded it. Let's start by searching for the Thonburi Kingdom entity in Wikidata.

[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

[Assistant] The correct entity for the Thonburi Kingdom is `wd:Q1115291`. Now, we need to find out which kingdom preceded it. To do this, we can look for a property that indicates succession or predecessor in the context of kingdoms. Let's search for such a property.

[Tool]
Top 10 property alternatives:
1. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
2. replaced by, also known as heir, superseded by, successor, succeeded by, next job holder (wd:P1366 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): other person or item which continues the item by replacing it in... nor identical, but adds to the series (e.g. books in a series)., followed by
3. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
4. has heir or beneficiary, also known as heir, beneficiary (wd:P12002 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): people or organizations that received, or will receive, (all or part of) the subject's property or title
5. replaces, also known as supersedes, succeeds, replaced, previous job holder, preceded by (wd:P1365 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): person, state or item replaced. Use "structure replaces" (P1398)...item was not replaced or predecessor and successor are identical, follows
6. noble title, also known as hereditary title, nobility title, peerage, royal and noble ranks, royal title (wd:P97 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): titles held by the person
7. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): official with the highest formal authority in a country/state, director / manager, chairperson
8. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
9. plot expanded in, also known as sequel, story continued in, prequel, narrative continued in (wd:P5940 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): a narrative of this creative work is expanded in another work wh...ly''' being part of the same series. For series use P179 instead
10. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): latest possible time that something could have occurred. Use as qualifier for other date properties

[Assistant] The property `P1365` (replaces) seems to be the most appropriate for indicating the predecessor of a kingdom. We will use this property to find the kingdom that preceded the Thonburi Kingdom (`wd:Q1115291`). Let's construct a SPARQL query to find the predecessor kingdom.

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

[Assistant]
The SPARQL query returned the Ayutthaya Kingdom (`wd:Q841364`) as the predecessor of the Thonburi Kingdom.

Now, let's provide the final answer:

[Tool] Stopped generation process