PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?location WHERE {
  wd:Q1048 wdt:P20 ?location .
}

The Theatre of Pompey (wd:Q944814).

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

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

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

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

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

[User] Where was Caesar murdered?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
How many programming languages are there?

SPARQL:
SELECT ( COUNT( DISTINCT ?sub ) AS ?count ) WHERE {
  ?sub wdt:P31 / wdt:P279 * wd:Q9143 .
}

Using entities:
programming language, also known as coding language, computer language, computer programming, computer programming language (wd:Q9143): language for communicating instructions to a machine

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
How many James Bond movies do exist?

SPARQL:
SELECT ( COUNT( ?s1 ) as ?c ) WHERE {
  ?s1 wdt:P31 wd:Q11424 .
  ?s1 ?p wd:Q2009573 .
  FILTER ( ?p = wdt:P144 || ?p = wdt:P674 )
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
James Bond, also known as Agent 007, double o seven, 007 (wd:Q2009573): secret agent, invented by novellist Ian Fleming, 00 Agent, spy

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
In what city is the Heineken brewery?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q854383 wdt:P176 / wdt:P159 ?uri .
}

Using entities:
Heineken, also known as Heineken Lager Beer, Heineken Pilsener (wd:Q854383): pale lager beer by the Dutch brewing company Heineken International

Using properties:
headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as wdt): (main or final) manufacturer or producer of this product

[Assistant] Based on the examples, we need to identify the entity for Caesar and the property for the location of his murder. Let's first search for the entity representing Julius Caesar.

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

[Assistant] The correct entity for Julius Caesar is `wd:Q1048`. Next, let's find the property that indicates the location of his death or murder.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as p/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as p/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as p/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
4. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
5. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as p/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. posthumous name, also known as Honor Death (wd:P1786 as p/wdt): name given to a person after death (East Asia)
7. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as p/wdt): person or organization who killed the subject, significant person
8. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as p/wdt): identifier of an individual's burial place in the Find a Grave database
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
The property for the place of death is `wdt:P20`. Now, let's construct a SPARQL query to find the location where Julius Caesar was murdered.

```sparql
SELECT ?location WHERE {
  wd:Q1048 wdt:P20 ?location .
}
```

I will now execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| location                       |
| ------------------------------ |
| Theatre of Pompey (wd:Q944814) |

[Assistant]
The location where Julius Caesar was murdered is the Theatre of Pompey.

Here is the final SPARQL query and answer:

```sparql
SELECT ?location WHERE {
  wd:Q1048 wdt:P20 ?location .
}
```

Answer: The Theatre of Pompey (wd:Q944814).

[Tool] Stopped generation process


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

The TV show 'Riverdale' first aired on January 26, 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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
What are the names of the Teenage Mutant Ninja Turtles?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P361 wd:Q1381762 .
}

Using entities:
Teenage Mutant Ninja Turtles, also known as Ninja Turtles, Teenage Mutant Hero Turtles, TMNT (wd:Q1381762): fictional team of four teenage anthropomorphic turtles

Using properties:
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): 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))

Example 2:
Question:
List all the musicals with music by Leonard Bernstein.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q2743 ; wdt:P86 wd:Q152505 .
}

Using entities:
Leonard Bernstein (wd:Q152505): American conductor and composer (1918–1990), film score composer, musicologist, conductor, composer, pianist
musical, also known as musical play, stage musical, musical theatre, musical theater, lyric drama (wd:Q2743): stage work that combines songs, music, spoken dialogue, acting, and dance

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator

Example 3:
Question:
Give me all writers that won the Nobel Prize in literature.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q36180 ; wdt:P166 wd:Q37922 .
}

Using entities:
writer, also known as penwoman, writers, penwomen, penmen, penman (wd:Q36180): person who uses written words to communicate ideas and to produce literary works
Nobel Prize in Literature, also known as Nobel Literature Prize (wd:Q37922): one of five prizes established by Alfred Nobel

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt): award or recognition received by a person, organization or creative work

[Assistant] Based on the examples, we need to identify the entity for "Riverdale" and the property for "first aired". Let's start by searching for the entity "Riverdale".

[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] The correct entity for the TV show "Riverdale" is `wd:Q23001951`. Now let's find the property for "first aired" or "premiered".

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

[Assistant] The property for "first aired" or "premiered" is likely `wdt:P577` (publication date). Let's confirm this by checking the data for the entity `wd:Q23001951`.

[Tool] Got no rows and 3 columns

[Assistant] It seems that the property `wdt:P577` does not provide the information we need for the TV show "Riverdale". Let's try another property, such as `wdt:P449`, which is related to the original broadcaster, as it might also contain the premiere date.

[Tool]
Got 2 rows and 3 columns:
| subject                  | property                        | object                  |
| ------------------------ | ------------------------------- | ----------------------- |
| Riverdale (wd:Q23001951) | original broadcaster (wdt:P449) | The CW (wd:Q212252)     |
| Riverdale (wd:Q23001951) | original broadcaster (wdt:P449) | Warner TV (wd:Q1857255) |

[Assistant] The property `wdt:P449` provides the original broadcasters of "Riverdale", but not the premiere date. Let's try another property, such as `wdt:P4647`, which is related to the location of the first performance, as it might also contain the premiere date.

[Tool] Got no rows and 3 columns

[Assistant] The property `wdt:P4647` also does not provide the information we need. Let's try the property `wdt:P1191`, which is related to the date of the first performance, as it might be relevant for the premiere date of a TV show.

[Tool] Got no rows and 3 columns

[Assistant] The property `wdt:P1191` also does not provide the information we need. Let's try one more property, `wdt:P3581`, which is related to the start date of a series, as it might be relevant for the premiere date of a TV show.

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time an entity begins to exist or a statement starts being valid, point in time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
3. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): earliest date at which an event could have happened. Use as qualifier for other date properties
4. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
5. Gregorian calendar start date, also known as adoption of the Gregorian calendar, Gregorian calendar first used, first date (N.S.) (wd:P7295 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date the Gregorian calendar was first used
6. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date or point in time a place, organization, or event officially opened, start time, inception
7. start of covered period, also known as coverage start date, covered period start (wd:P7103 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): start of period covered by an archive set, a historical book, or a collection
8. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date or point in time on which a piece or class of equipment entered operational service, start time
9. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date of spacecraft launch in UTC
10. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date or point in time when a work was first published or released, point in time

[Assistant] The property `wdt:P580` (start time) seems like a good candidate for the premiere date of a TV show. Let's check if this property provides the information we need for "Riverdale".

[Tool]
Got 1 row and 3 columns:
| subject                  | property              | object                              |
| ------------------------ | --------------------- | ----------------------------------- |
| Riverdale (wd:Q23001951) | start time (wdt:P580) | 2017-01-26T00:00:00Z (xsd:dateTime) |

[Assistant]
The property `wdt:P580` (start time) provides the premiere date of the TV show "Riverdale". The premiere date is January 26, 2017.

Now, let's construct the final SPARQL query to retrieve this information.

```sparql
SELECT ?premiereDate WHERE {
  wd:Q23001951 wdt:P580 ?premiereDate .
}
```

Let's execute this query to confirm the result.

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

[Assistant]
The SPARQL query confirms that the premiere date of the TV show "Riverdale" is January 26, 2017.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?premiereDate WHERE {
  wd:Q23001951 wdt:P580 ?premiereDate .
}
```

Answer: The TV show "Riverdale" first aired on January 26, 2017.

[Tool] Stopped generation process


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

Empress

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

You have access to the following knowledge graphs:
wikidata at 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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
In which countries can you pay using the West African CFA franc?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P38 wd:Q861690 .
}

Using entities:
West African CFA franc, also known as BCEAO franc (wd:Q861690): Currency of several West African countries

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 2:
Question:
How many missions does the Soyuz programme have?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) AS ?c ) WHERE {
  ?uri wdt:P361 wd:Q207329
}

Using entities:
Soyuz programme (wd:Q207329): crewed spaceflight programme of the Soviet Union

Using properties:
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): 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))

Example 3:
Question:
Which television shows were created by Walt Disney?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 / wdt:P279 * wd:Q7725310 ; wdt:P170 wd:Q8704 .
}

Using entities:
series of creative works, also known as serial (wd:Q7725310): ordered set of creative works
Walt Disney (wd:Q8704): American animator and producer (1901–1966), television presenter, film producer, film director, caricaturist, manufacturer, screenwriter, illustrator, voice actor, film actor, producer, director, animator, inventor, painter, writer, actor

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
None of these examples directly relate to our question about the female form of an emperor. However, we can use the structure of these queries to guide us in constructing our own.

To find the female form of an emperor, we need to:
1. Identify the entity for "emperor".
2. Look for a property that indicates gender or a female equivalent.
3. Find the corresponding female term.

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

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

[Assistant]
The first result, "emperor" (wd:Q39018), seems to be the most relevant. It also mentions "empress" as an alternative label, which suggests that "empress" might be the female form of "emperor".

Next, let's confirm this by checking the properties of the "emperor" entity to see if there is a direct link to "empress".

[Tool]
Got 801 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                       | object                                                                   |
| ------------------- | ---------------------------------------------- | ------------------------------------------------------------------------ |
| emperor (wd:Q39018) | instance of (wdt:P31)                          | profession (wd:Q28640)                                                   |
| emperor (wd:Q39018) | Commons category (wdt:P373)                    | Emperors                                                                 |
| emperor (wd:Q39018) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Statue-Augustus.jpg> |
| emperor (wd:Q39018) | subclass of (wdt:P279)                         | monarch (wd:Q116)                                                        |
| emperor (wd:Q39018) | described by source (wdt:P1343)                | Encyclopædia Britannica 11th edition (wd:Q867541)                        |
| emperor (wd:Q39018) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                              |
| emperor (wd:Q39018) | applies to jurisdiction (wdt:P1001)            | _:bn474696                                                               |
| emperor (wd:Q39018) | different from (wdt:P1889)                     | king (wd:Q12097)                                                         |
| emperor (wd:Q39018) | topic's main category (wdt:P910)               | wd:Q7216624                                                              |
| emperor (wd:Q39018) | said to be the same as (wdt:P460)              | King of Kings (wd:Q938153)                                               |
| ...                 | ...                                            | ...                                                                      |

[Assistant]
From the list of triples, we can see that "emperor" (wd:Q39018) is a subclass of "monarch" (wd:Q116). However, there is no direct link to "empress" in the properties listed.

Since "empress" was mentioned as an alternative label for "emperor," let's search for the entity "empress" to confirm if it is indeed the female form of "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]
The sixth result, "empress" (wd:Q100387742), is described as "imperial title held by a female monarch or consort." This seems to be the correct entity for the female form of an emperor.

To confirm, let's check the properties of this entity to ensure it is indeed the female counterpart of "emperor."

[Tool]
Got 132 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                          | object                         |
| ----------------------- | --------------------------------- | ------------------------------ |
| empress (wd:Q100387742) | instance of (wdt:P31)             | noble title (wd:Q355567)       |
| empress (wd:Q100387742) | sex or gender (wdt:P21)           | female (wd:Q6581072)           |
| empress (wd:Q100387742) | subclass of (wdt:P279)            | monarch (wd:Q116)              |
| empress (wd:Q100387742) | has part(s) (wdt:P527)            | empress Dowager (wd:Q7409248)  |
| empress (wd:Q100387742) | different from (wdt:P1889)        | queen (wd:Q16511993)           |
| empress (wd:Q100387742) | topic's main category (wdt:P910)  | wd:Q7025235                    |
| empress (wd:Q100387742) | said to be the same as (wdt:P460) | emperor (wd:Q39018)            |
| empress (wd:Q100387742) | Commons gallery (wdt:P935)        | Empress                        |
| empress (wd:Q100387742) | honorific prefix (wdt:P511)       | Imperial Majesty (wd:Q3843034) |
| empress (wd:Q100387742) | male form of label (wdt:P3321)    | Emperor (en)                   |
| ...                     | ...                               | ...                            |

[Assistant]
The properties of "empress" (wd:Q100387742) confirm that it is indeed the female form of "emperor." Specifically, the property `male form of label` (wdt:P3321) is linked to "Emperor" (en).

Now, let's construct a simple SPARQL query to return the IRI and label of the female form of an emperor.

```sparql
SELECT ?femaleForm ?femaleFormLabel
WHERE {
  wd:Q100387742 rdfs:label ?femaleFormLabel .
  BIND(wd:Q100387742 AS ?femaleForm)
  FILTER(LANG(?femaleFormLabel) = "en")
}
```

This query will return the IRI and the English label of the female form of an emperor.

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| femaleForm              | femaleFormLabel |
| ----------------------- | --------------- |
| empress (wd:Q100387742) | empress (en)    |

[Assistant]
The SPARQL query confirms that the female form of an emperor is "empress" (wd:Q100387742).

Therefore, the answer to the question "What do you call a female form of an emperor in English?" is:

**Empress**

Here is the final SPARQL query and answer:

```sparql
SELECT ?femaleForm ?femaleFormLabel
WHERE {
  wd:Q100387742 rdfs:label ?femaleFormLabel .
  BIND(wd:Q100387742 AS ?femaleForm)
  FILTER(LANG(?femaleFormLabel) = "en")
}
```

Answer: **Empress**

Let's provide this as the final answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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 (en) |

Bärbel Bas

[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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
What form of government is found in South Africa?

SPARQL:
SELECT ?uri WHERE {
  wd:Q258 wdt:P122 ?uri .
}

Using entities:
South Africa, also known as zaf, R.S.A., za, RSA, SA (wd:Q258): country in southern Africa

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

Example 2:
Question:
When was Jack Wolfskin founded?

SPARQL:
SELECT ?date WHERE {
  wd:Q536133 wdt:P571 ?date .
}

Using entities:
Jack Wolfskin, also known as Jack Wolfskin Ausrüstung für Draussen GmbH & Co. KGaA (wd:Q536133): German outdoors clothing and equipment manufacturer and retail chain

Using properties:
inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt): time when an entity begins to exist; for date of official opening use P1619, start time

Example 3:
Question:
List all episodes of the first season of the HBO television series The Sopranos!

SPARQL:
SELECT ( COUNT( ?episode ) AS ?count ) WHERE {
  ?episode wdt:P4908 wd:Q5274359 .
}

Using entities:
The Sopranos, season 1 (wd:Q5274359): season of television series

Using properties:
season, also known as TV series, television season, TV season, television series, series of television program (wd:P4908 as wdt): season of a series (televison, web, podcast), part of

[Assistant]
From these examples, we can see how specific entities and properties are used to construct SPARQL queries. To find out who the current president of the German Bundestag is, we need to identify the entity for the German Bundestag and the property for the president or speaker of the parliament.

First, let's search for the entity "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 top result, "German Bundestag" (wd:Q154797), seems to be the correct entity for the German parliament. Next, we need to find the property that represents the president or speaker of the parliament.

Let's search for the property "president of the parliament" or "speaker of the parliament".

[Tool]
Top 10 property alternatives:
1. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
2. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): official with the highest formal authority in a country/state, director / manager, chairperson
3. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): senior official in an educational institution., director / manager, chairperson
4. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): presiding member of an organization, group or body, director / manager, significant person
5. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
6. Swiss parliament ID, also known as parlament.ch, Swiss parliament identifier, parliament.ch, parlement.ch, id parliament.ch (wd:P1307 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): identifier for a member of the Swiss Parliament since 1848
7. parliamentary term, also known as legislative term (wd:P2937 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): term of a parliament or any deliberative assembly
8. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): political office that is fulfilled by the head of state of this item
9. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): political office that is fulfilled by the head of the government of this item
10. 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): position of the head of this item

[Assistant]
None of the properties listed seem to directly match "president of the parliament" or "speaker of the parliament". However, the property "chairperson" (wd:P488) might be the closest fit, as it refers to the presiding member of an organization, group, or body.

Let's check if this property is used for the German Bundestag.

[Tool]
Got 1 row and 3 columns:
| subject                       | property               | object      |
| ----------------------------- | ---------------------- | ----------- |
| German Bundestag (wd:Q154797) | chairperson (wdt:P488) | wd:Q1019016 |

[Assistant] The property "chairperson" (wdt:P488) is indeed used for the German Bundestag, and it points to the entity "wd:Q1019016". Let's find out who this entity represents by searching for its label.

[Tool] No entity items found

[Assistant] It seems that the direct search for the entity "wd:Q1019016" did not return a label. Let's try to retrieve the label using a SPARQL query instead.

[Tool]
Got 1 row and 2 columns:
| president   | presidentLabel  |
| ----------- | --------------- |
| wd:Q1019016 | Bärbel Bas (en) |

[Assistant]
The current president of the German Bundestag is Bärbel Bas.

Here is the final SPARQL query:

```sparql
SELECT ?president ?presidentLabel WHERE {
  wd:Q154797 wdt:P488 ?president .
  OPTIONAL { ?president rdfs:label ?presidentLabel . FILTER(LANG(?presidentLabel) = 'en') }
}
```

And the answer is Bärbel Bas.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?actor WHERE {
  wd:Q19798744 wdt:P161 ?actor .
  FILTER ( ?actor = wd:Q13499404 || ?actor = wd:Q289380 )
}

Brit Marling

[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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Which river does the Brooklyn Bridge cross?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q125006 wdt:P177 ?uri .
}

Using entities:
Brooklyn Bridge, also known as East River Bridge, New York and Brooklyn Bridge (wd:Q125006): bridge in New York City, crossing the East River

Using properties:
crosses, also known as under, tunnel under, through, spanning, over (wd:P177 as wdt): obstacle (body of water, road, railway...) which this bridge (ferry, ford) crosses over or this tunnel goes under

Example 2:
Question:
To which party does the mayor of Paris belong?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q90 wdt:P6 / wdt:P102 ?uri
}

Using entities:
Paris, also known as City of Love, Lutetia, City of Light (wd:Q90): capital city and largest city of France

Using properties:
member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

Example 3:
Question:
Which films starring Clint Eastwood did he direct himself?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P57 wd:Q43203 ; wdt:P161 wd:Q43203 .
}

Using entities:
Clint Eastwood, also known as Clinton Eastwood Jr., Clinton Eastwood, Jr., Clinton "Clint" Eastwood, Jr., Clinton Eastwood (wd:Q43203): American actor and film director (born 1930), film score composer, television actor, film producer, film director, restaurateur, screenwriter, film actor, songwriter, activist, composer, director, singer, writer, mayor

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
director, also known as film director, movie director, game director, directed by (wd:P57 as wdt): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator

[Assistant] Based on the examples, we can see that we need to identify the creator and actor of "The OA". Let's first search for "The OA" in the 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]
From the search results, it looks like "The OA" (wd:Q19798744) is the correct entity for the TV series. Now let's find out who created and acted in "The OA".

First, we'll look for the creators of "The OA".

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as p/wdt): maker of this creative work or other object (where no more specific property exists)
2. 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).
3. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as p/wdt): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
4. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as p/wdt): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
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. director, also known as film director, movie director, game director, directed by (wd:P57 as p/wdt): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
7. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
10. icon, also known as pictogram, symbol (wd:P2910 as p/wdt): pictogram suitable to represent the item. For logos of a subject...go image" (P154); for favicons, use "small logo or icon" (P8972), image

No other items found

[Assistant]
The property `creator` (wd:P170) seems to be the right choice for finding the creators of "The OA". Let's run a SPARQL query to get the creators.

```sparql
SELECT DISTINCT ?creator WHERE {
  wd:Q19798744 wdt:P170 ?creator .
}
```

Now, let's execute this query.

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

[Assistant]
The creators of "The OA" are Zal Batmanglij (wd:Q13499404) and Brit Marling (wd:Q289380).

Next, we need to check if either of these creators also acted in "The OA". We'll use the property `cast member` (wd:P161) to find out.

Let's run a SPARQL query to check if Zal Batmanglij or Brit Marling acted in "The OA".

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q19798744 wdt:P161 ?actor .
  FILTER(?actor = wd:Q13499404 || ?actor = wd:Q289380)
}
```

Now, let's execute this query.

[Tool]
Got 1 row and 1 column:
| actor                     |
| ------------------------- |
| Brit Marling (wd:Q289380) |

[Assistant]
Brit Marling (wd:Q289380) is both a creator and an actor in "The OA".

Therefore, the answer to the question "Which creator of The OA also acted in it?" is Brit Marling.

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?actor WHERE {
  wd:Q19798744 wdt:P161 ?actor .
  FILTER(?actor = wd:Q13499404 || ?actor = wd:Q289380)
}
```

And the answer is Brit Marling.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
What are the official languages of the Philippines?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q928 wdt:P37 ?uri .
}

Using entities:
Philippines, also known as ph, The Philippines, RP, Republic of the Philippines, Philippine Islands (wd:Q928): archipelagic country in Southeast Asia

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 2:
Question:
Show me all museums in London.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q33506 .
  ?uri wdt:P276 wd:Q84 .
}

Using entities:
museum, also known as museal institution, museum-style institution (wd:Q33506): institution that holds artifacts and other objects of scientific, artistic, cultural, historical, or other importance
London, also known as Loniniensi, Trinovantum, the Big Smoke, Lundenwic, Lundenburh (wd:Q84): capital and largest city of England and the United Kingdom

Using properties:
location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Who wrote The Hunger Games?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q11679 wdt:P50 ?uri .
}

Using entities:
The Hunger Games, also known as Hunger Games Saga, The Hunger Games Saga (wd:Q11679): three books by Suzanne Collins (2008–2010)

Using properties:
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): 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

[Assistant] Based on the examples, we need to identify the entities and properties relevant to our question. We are asked whether Google was founded by Bill Gates. Let's first search for the entities "Google" and "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)

[Assistant] The most relevant entity for "Google" is `wd:Q95`. Now let's search for "Bill Gates".

[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]
The most relevant entity for "Bill Gates" is `wd:Q5284`.

Now, we need to check if Bill Gates is listed as one of the founders of Google. The property for founder is typically `P112` (founded by). Let's check if Bill Gates is associated with Google through this property.

[Tool]
Got 2 rows and 1 column:
| founder                 |
| ----------------------- |
| Larry Page (wd:Q4934)   |
| Sergey Brin (wd:Q92764) |

[Assistant]
The founders of Google are Larry Page (`wd:Q4934`) and Sergey Brin (`wd:Q92764`). Bill Gates (`wd:Q5284`) is not listed as one of the founders.

To confirm this, we can use an ASK query to check if Bill Gates is a founder of Google.

[Tool] False

[Assistant]
The ASK query confirms that Bill Gates is not a founder of Google.

Therefore, the answer to the question "Was Google founded by Bill Gates?" is False.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?founder WHERE {
  wd:Q848490 wdt:P112 ?founder .
}

Ikutaro Kakehashi

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

You have access to the following knowledge graphs:
wikidata at 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] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
Where does Piccadilly start?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1124023 wdt:P559 ?uri
}

Using entities:
Piccadilly (wd:Q1124023): road in the City of Westminster, London, England

Using properties:
terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as wdt): the feature (intersecting road, train station, etc.) at the end of a linear feature

Example 2:
Question:
What is the total population of Melbourne, Florida?

SPARQL:
SELECT DISTINCT ?val WHERE {
  wd:Q949779 wdt:P1082 ?val .
}

Using entities:
Melbourne, also known as Melbourne, FL, Melbourne, Florida (wd:Q949779): city in Brevard County, Florida, United States of America

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject

Example 3:
Question:
How often did Jane Fonda marry?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) as ?c ) WHERE {
  wd:Q41142 wdt:P26 ?uri .
}

Using entities:
Jane Fonda, also known as Jane Seymour Fonda, Jayne Seymour Fonda, Hanoi Jane (wd:Q41142): American actress and activist, television actor, autobiographer, film producer, voice actor, stage actor, film actor, writer, model, actor

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

[Assistant] Based on the examples, we need to identify the entity for Roland Corporation and the property for founder. Let's first search for the entity 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 correct entity for Roland Corporation is the first one, wd:Q848490. Now let's search for the property for founder.

[Tool]
Top 10 property alternatives:
1. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): 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 prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): most specific known birth location of a person, animal or fictional character, location

[Assistant]
The property for founder is the first one, wd:P112. Now we can construct our SPARQL query to find out who founded Roland Corporation.

Here is the SPARQL query:

```sparql
SELECT ?founder WHERE {
  wd:Q848490 wdt:P112 ?founder .
}
```

I will now execute this query.

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

[Assistant]
The founder of Roland Corporation is Ikutaro Kakehashi.

I will now provide the final answer.

[Tool] Stopped generation process