PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?dateOfOpening WHERE {
  wd:Q27706 wdt:P1619 ?dateOfOpening .
}

The Hamburg Airport was inaugurated in the year 1912.

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

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

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

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

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

[User] When was the Hamburg Airport inaugurated?

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

[Tool]
Example 1:
Question:
What is the revenue of IBM?

SPARQL:
SELECT ?o1 WHERE {
  wd:Q37156 wdt:P2139 ?o1 .
}

Using entities:
IBM, also known as 18M, International Business Machines Corporation (Armonk, NY), International Business Machines Corporation, IBM Corporation, IBM Corp. (wd:Q37156): American multinational technology corporation

Using properties:
total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue

Example 2:
Question:
How heavy is Jupiter's lightest moon?

SPARQL:
SELECT * WHERE {
  ?res wdt:P31 wd:Q61702557 .
  ?res wdt:P2067 ?mass .
}
ORDER BY ?mass
LIMIT 1

Using entities:
moon of Jupiter, also known as Jovial moon, Jovian satellite, moons of Jupiter, natural satellite of Jupiter (wd:Q61702557): natural satellite orbiting Jupiter

Using properties:
mass, also known as displacement, molecular mass, molecular weight, weight (wd:P2067 as wdt): mass (in colloquial usage also known as weight) of the item
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:
Give me all actors starring in movies directed by and starring William Shatner.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?film wdt:P57 wd:Q16297 ; wdt:P161 wd:Q16297 .
  ?film wdt:P161 ?uri .
}

Using entities:
William Shatner (wd:Q16297): Canadian actor (born 1931), science fiction writer, television presenter, television actor, character actor, film producer, film director, prose writer, screenwriter, Esperantist, voice actor, stage actor, film actor, astronaut, karateka, novelist, blogger, writer, singer, actor

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] To answer the question about the inauguration date of Hamburg Airport, I need to identify the entity for Hamburg Airport and the property related to the inauguration or opening date. I will first search for the entity "Hamburg Airport" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hamburg Airport, also known as Hamburg-Fuhlsbüttel Airport, Hamburg Airport “Helmut Schmidt”, EDDH, HAM (wd:Q27706): airport in Fuhlsbüttel, Hamburg, Germany
2. Hamburg Finkenwerder Airport, also known as Airbus Hamburg-Finkenwerder, EDHI, Finkenwerder Airport, XFW (wd:Q663819): aircraft manufacturing plant and associated private airport in the Finkenwerder quarter of southwest Hamburg, Germany
3. Hamburg Airport station (wd:Q5644290): railway station in Germany
4. Hamburg Airport Classics (wd:Q1572874)
5. Hamburg Inc Airport, also known as 4G2, Hamburg Inc Aerodrome (wd:Q34959585)
6. Hamburg : Airport, also known as A9 n35_Sm2 (wd:Q104725193): folder of the 20th Century Press Archives
7. Hamburg Airport S-Bahn line (wd:Q1430696): railway line in Germany
8. Novo Hamburgo Airport, also known as SSNH (wd:Q12694211): Brazilian airport
9. Hamburg : Airport, individual, also known as A9 n35_Sm2.II (wd:Q104725196): folder of the 20th Century Press Archives
10. Hamburg : Airport, general, also known as A9 n35_Sm2.I (wd:Q104725195): folder of the 20th Century Press Archives

[Assistant] The entity for Hamburg Airport is wd:Q27706. Now I will search for properties related to the inauguration or opening date of this airport. I will search for properties related to "inauguration" or "opening date" for the entity Hamburg Airport.

[Tool]
Top 10 property alternatives:
1. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as wdt/p): date or point in time a place, organization, or event officially opened, start time, inception
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
3. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
4. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as wdt/p): number of passengers, patrons or visitors in specified time period
5. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/p): significant or notable events associated with the subject
6. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as wdt/p): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
7. 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)
8. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Assistant] The property "date of official opening" (wdt:P1619) seems to be the most relevant for the inauguration date of Hamburg Airport. I will now construct a SPARQL query to get the date of official opening for Hamburg Airport (wd:Q27706).

[Tool]
Got 1 row and 1 column:
| dateOfOpening                       |
| ----------------------------------- |
| 1912-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly uses the property 'date of official opening' (wdt:P1619) for the Hamburg Airport (wd:Q27706) and returns the inauguration year 1912 as a dateTime value. The answer is accurate and complete. The query follows the rules by returning the identifier and the date value without unnecessary label service. No further refinement is needed.


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 ?tvShow ?tvShowLabel ?seasons WHERE {
  ?tvShow wdt:P161 wd:Q23760 ; wdt:P580 ?startDate ; wdt:P31 wd:Q5398426 .
  FILTER ( YEAR( ?startDate ) = 1983 ) OPTIONAL {
    ?tvShow wdt:P2437 ?seasons
  }
  OPTIONAL {
    ?tvShow rdfs:label ?tvShowLabel FILTER ( LANG( ?tvShowLabel ) = "en" )
  }
}

The TV show that starred Rowan Atkinson, had 4 seasons, and started in 1983 is "Blackadder" (wd:Q49019).

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

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

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

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

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

[User] What is the TV-show that starred Rowan Atkinson , had 4 seasons and started in 1983?

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

[Tool]
Example 1:
Question:
Give me all actors who were born in Paris after 1950.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q33999 ; wdt:P19 wd:Q90 ; wdt:P569 ?birthDate .
  BIND( YEAR( ?birthDate ) as ?birthYear ) .
  FILTER ( ?birthYear > 1950 )
}

Using entities:
actor, also known as actress, actresses, movie actress, movie actresses, actors (wd:Q33999): person who acts in a dramatic or comic production and works in film, television, theatre, or radio
Paris, also known as City of Love, Lutetia, City of Light (wd:Q90): capital city and largest city of France

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)
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location
date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt): date on which the subject was born, inception

Example 2:
Question:
When did princess Diana die?

SPARQL:
SELECT DISTINCT ?date WHERE {
  wd:Q9685 wdt:P570 ?date .
}

Using entities:
Diana, Princess of Wales, also known as Lady Diana Spencer, Princess Diana, Princess Di, Lady Diana Frances Spencer, The People's Princess (wd:Q9685): member of the British royal family and Princess of Wales (1961–1997), mental health advocate, kindergarten teacher, HIV/AIDS activist, environmentalist, peace activist, philanthropist, humanitarian, aristocrat, benefactor, socialite

Using properties:
date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt): dissolved, abolished or demolished date, date on which the subject died, end time

Example 3:
Question:
Who wrote the book The Pillars of the Earth?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1163227 wdt:P50 ?uri .
}

Using entities:
The Pillars of the Earth, also known as The Pillars of the Earth (Kingsbridge, #1) (wd:Q1163227): 1989 novel by Ken Follett

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] I will now search for the entity "Rowan Atkinson" in Wikidata to get his identifier.

[Tool]
Top 10 entity alternatives:
1. Rowan Atkinson, also known as Rowan Sebastian Atkinson (wd:Q23760): English actor, comedian, and screenwriter, electrical engineer, television director, television actor, film producer, screenwriter, manufacturer, voice actor, stage actor, film actor, comedian, actor
2. Rowan Atkinson Live (wd:Q9322991): 1992 film
3. Hubert Rowan Atkinson, also known as Hon. Hubert Rowan Atkinson (wd:Q75293963): (born 1882)
4. Sorbus, also known as rowan (wd:Q157964): genus of plants
5. Sorbus aucuparia, also known as European mountain-ash, European rowan, rowan, rowan-berry (wd:Q146198): species of plant
6. Rowan, also known as Rowan, IA, Rowan, Iowa (wd:Q533345): American city in Iowa
7. Atkinson, also known as Atkinson, NE, Atkinson, Nebraska (wd:Q965125): town in Nebraska, United States
8. Atkinson, also known as Atkinson, IL (wd:Q576062): town in Illinois, United States
9. Atkinson, also known as Atkinson, NC, Atkinson, North Carolina (wd:Q2027754): town in North Carolina
10. 4599 Rowan, also known as Rowan (wd:Q543954): asteroid

[Assistant] The entity for Rowan Atkinson is wd:Q23760. Next, I will search for TV shows (TV series) that starred Rowan Atkinson. I will search for properties related to "starred in" or "cast member" for this entity.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
3. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
4. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdt/p): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”
5. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
6. Douban movie celebrity ID, also known as https://movie.douban.com/celebrity, https://movie.douban.com, https://m.douban.com, Douban person ID, douban.com person ID (wd:P5284 as wdt/p): identifier for a celebrity at the Douban movie website
7. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as wdt/p): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
8. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
9. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as wdt/p): name the subject is known by; preferably use a more specific subproperty if available
10. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

No other items found

[Assistant] The property "notable work" (wdt:P800) seems relevant to find TV shows or works associated with Rowan Atkinson. I will now search for TV shows (TV series) that are notable works of Rowan Atkinson.

[Tool]
Got 1 row and 2 columns:
| tvShow                | tvShowLabel   |
| --------------------- | ------------- |
| Mr. Bean (wd:Q484020) | Mr. Bean (en) |

[Assistant] Rowan Atkinson's notable TV show is "Mr. Bean" (wd:Q484020). Next, I will check if this TV show had 4 seasons and started in 1983. I will query the number of seasons and the start date for "Mr. Bean".

[Tool] Got no rows and 2 columns

[Assistant] The query did not return any results for the number of seasons and start date of "Mr. Bean." I will try to find the properties for "number of seasons" and "start date" for the TV show "Mr. Bean" by searching for properties related to "season" and "start" for this entity.

[Tool]
Top 10 property alternatives:
1. number of seasons, also known as no. of seasons, no. of series, number of series, seasons (wd:P2437 as wdt/p): number of seasons a television or radio series has had, number of parts of this work
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as wdt/p): length of time of an event or process
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
5. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as wdt/p): number of episodes in a film/TV/radio series, number of parts of this work
6. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/p): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as wdt/p): the narrative of the work is set in this location, significant place, depicts
8. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/p): method (or type) of distribution for the subject
9. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as wdt/p): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
10. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time

No other items found

[Assistant] The property "number of seasons" (wdt:P2437) and "start time" (wdt:P580) are the correct properties to use. I will now query again for the number of seasons and start time of "Mr. Bean" using these properties.

[Tool]
Got 1 row and 2 columns:
| seasons         | startDate                           |
| --------------- | ----------------------------------- |
| 6 (xsd:decimal) | 1990-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The TV show "Mr. Bean" starred Rowan Atkinson, had 6 seasons, and started in 1990. This does not match the criteria of 4 seasons and starting in 1983. I will now search for other TV shows starring Rowan Atkinson that might match the criteria. I will search for TV shows where Rowan Atkinson is a cast member. I will search for properties related to "cast member" or "starring" for TV shows.

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): particular item that initiates this action or class of actions
3. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): role that agents of this action take on in the context of this action
5. used by, also known as armiger, user, played by, of (wd:P1535 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): item or concept that makes use of the subject (use sub-properties when appropriate)
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): object depicting this subject (object being creative works such as books, films, paintings)
7. character role, also known as role, plays, performer of, as, acting role (wd:P453 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
8. describes actor of (wd:P12027 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
9. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
10. film crew member (wd:P3092 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): member of the crew creating an audiovisual work, used for miscel... available: notably for cast member (P161), director (P57), etc., significant person

[Assistant] The property "cast member" (wdt:P161) is used to indicate actors in a production. I will now search for TV shows where Rowan Atkinson (wd:Q23760) is a cast member.

[Tool]
Got 8 rows and 2 columns:
| tvShow                                  | tvShowLabel                    |
| --------------------------------------- | ------------------------------ |
| Man vs. Bee (wd:Q112078154)             | Man vs. Bee (en)               |
| The Thin Blue Line (wd:Q1816205)        | The Thin Blue Line (en)        |
| Not the Nine O'Clock News (wd:Q2044417) | Not the Nine O'Clock News (en) |
| Maigret (wd:Q21998218)                  | Maigret (en)                   |
| Blackadder II (wd:Q2668056)             | Blackadder II (en)             |
| Mr. Bean (wd:Q484020)                   | Mr. Bean (en)                  |
| Blackadder (wd:Q49019)                  | Blackadder (en)                |
| Funny Business (wd:Q5509357)            | Funny Business (en)            |

[Assistant] I found several TV shows starring Rowan Atkinson. I will now check the number of seasons and start date for each of these TV shows to find the one that had 4 seasons and started in 1983.

[Tool]
Got 7 rows and 4 columns:
| tvShow                                  | tvShowLabel                    | seasons         | startDate                           |
| --------------------------------------- | ------------------------------ | --------------- | ----------------------------------- |
| Man vs. Bee (wd:Q112078154)             | Man vs. Bee (en)               | 1 (xsd:decimal) | 2022-06-24T00:00:00Z (xsd:dateTime) |
| The Thin Blue Line (wd:Q1816205)        | The Thin Blue Line (en)        | 2 (xsd:decimal) | 1995-11-13T00:00:00Z (xsd:dateTime) |
| Not the Nine O'Clock News (wd:Q2044417) | Not the Nine O'Clock News (en) | 4 (xsd:decimal) | 1979-10-16T00:00:00Z (xsd:dateTime) |
| Maigret (wd:Q21998218)                  | Maigret (en)                   | 2 (xsd:decimal) | 2016-03-28T00:00:00Z (xsd:dateTime) |
| Blackadder II (wd:Q2668056)             | Blackadder II (en)             | 1 (xsd:decimal) | 1986-01-09T00:00:00Z (xsd:dateTime) |
| Mr. Bean (wd:Q484020)                   | Mr. Bean (en)                  | 6 (xsd:decimal) | 1990-01-01T00:00:00Z (xsd:dateTime) |
| Blackadder (wd:Q49019)                  | Blackadder (en)                | 4 (xsd:decimal) | 1983-06-15T00:00:00Z (xsd:dateTime) |

[Assistant]
The TV show "Blackadder" (wd:Q49019) starred Rowan Atkinson, had 4 seasons, and started in 1983. This matches the criteria given in the question.

I will now provide this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query did not return any results, indicating that the query might be incorrect or incomplete. The query tries to find a TV show starring Rowan Atkinson with exactly 4 seasons and a start year of 1983. However, the known TV show 'Blackadder' (wd:Q49019) starred Rowan Atkinson, started in 1983, but it actually had 4 seasons if we consider all series, so the number of seasons property might be different or missing in Wikidata. Also, the property for number of seasons (wdt:P2437) might not be consistently used or the start date might not be exactly 1983 but a more precise date. I suggest refining the query to check for shows starring Rowan Atkinson that started in 1983 and then filter or check the number of seasons more flexibly, possibly using a range or optional clauses. Also, verify the exact property usage for number of seasons and start date. Additionally, consider that the start date might be a full date and not just a year, so using a FILTER with YEAR(?startDate) = 1983 is correct but ensure the property is used correctly. The query should also ensure that the entity is a television series (wd:Q5398426). Please revise the query accordingly.

[Assistant]
Thank you for the feedback. I understand that the number of seasons property might not be consistently used or might be missing for some TV shows, and the start date might be a full date rather than just a year. I will revise the query to first find TV shows starring Rowan Atkinson that started in 1983 (using a filter on the year of the start date), and then optionally get the number of seasons if available. This way, we can identify the TV show(s) that started in 1983 and starred Rowan Atkinson, and then check the number of seasons if the data is present.

I will now revise the query accordingly.

[Tool]
Got 1 row and 3 columns:
| tvShow                 | tvShowLabel     | seasons         |
| ---------------------- | --------------- | --------------- |
| Blackadder (wd:Q49019) | Blackadder (en) | 4 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the TV show starring Rowan Atkinson that started in 1983 and has 4 seasons. It uses appropriate properties for cast member, start time, instance of television series, and number of seasons. The query returns the TV show identifier, its English label, and the number of seasons, which matches the user's question. The answer 'Blackadder' is accurate and complete based on the query results. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?album ) AS ?count ) WHERE {
  ?album wdt:P175 wd:Q1744 .
  ?album wdt:P31 wd:Q482994 ;
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 52 (xsd:int) |

Madonna performs on 52 albums.

[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] On how many albums does Madonna perform?

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

[Tool]
Example 1:
Question:
Show me all English Gothic buildings in Kent.

SPARQL:
SELECT ?uri WHERE {
  ?type wdt:P279 * wd:Q176483 .
  ?uri wdt:P149 ?type ; wdt:P7959 wd:Q67479626 .
}

Using entities:
Gothic architecture, also known as Gothic monument, Gothic style (wd:Q176483): style of architecture
Kent (wd:Q67479626): historic county of England

Using properties:
architectural style, also known as architecture, style of architecture (wd:P149 as wdt): architectural style of a structure, movement
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
historic county, also known as ancient or geographic county, located in historic county of Ireland, located in historic UK county, located in historic United Kingdom county, traditional county (wd:P7959 as wdt): traditional, geographical division of Great Britain and Ireland

Example 2:
Question:
In which country is Mecca located?

SPARQL:
SELECT DISTINCT ?res WHERE {
  wd:Q5806 wdt:P131 + ?res .
  ?res wdt:P31 wd:Q6256 .
}

Using entities:
Mecca, also known as Mother of All Settlements, Umm al-Qurā, The Holy City of Mecca, Mecca (Saudi Arabia), mecca (wd:Q5806): Saudi Arabian city and capital of the Makkah province
country, also known as countries (wd:Q6256): distinct territorial body or political entity

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
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 created Batman?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q2695156 wdt:P170 ?uri .
}

Using entities:
Batman, also known as the Bat-Man, the Batman, the Caped Crusader, the Bat, Sir Hemingford Grey (wd:Q2695156): fictional character in DC Comics, chief executive officer, businessperson, martial artist, philanthropist, vigilante, detective, superhero

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)

[Assistant]
The question is about the number of albums on which Madonna performs. We need to identify Madonna as an entity and then find the property that links her to albums she performs on. Typically, the property for performer or performer of a musical work or album might be used.

Step 1: Search for the entity "Madonna" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Madonna, also known as Madonna Ciccone, Madonna Louise Veronica Ciccone, Madonna Louise Ciccone, Madonna L. Ciccone (wd:Q1744): American singer, songwriter, and actress (born 1958), songwriter, singer, actor
2. Mary, also known as Mother of God, Mother of Jesus, Notre Dame, Our Lady, Queen of the Universe (wd:Q345): mother of Jesus
3. Madonna, also known as Madonna: The First Album (wd:Q177943): 1983 self-titled debut studio album by Madonna
4. Madonna (wd:Q1989780): painting composition by Edvard Munch, in different versions
5. Madonna, also known as Madonna in art, The Madonna in art, Virgin Mary in art (wd:Q926743): artistic representation of Mary, either alone or with her child Jesus
6. Madonna (wd:Q19794647): 2015 South Korean film directed by Shin Su-won
7. Madonna (wd:Q1147459): album by …And You Will Know Us by the Trail of Dead
8. Madonna (wd:Q486604): 2010 EP by Secret
9. Madonna, also known as Madonna, MD, Madonna, Maryland (wd:Q6728358): unincorporated community in Harford County, Maryland
10. Virgin and Child with an Angel (Madonna del Latte), also known as Madonna, Madonna with child and John the Baptist (wd:Q3842618): painting by Antonio da Correggio from 1520

[Assistant] The entity for Madonna the American singer is wd:Q1744. Now, I need to find the property that links Madonna to albums she performs on. I will search for properties related to "perform" or "album" for the entity Madonna (wd:Q1744).

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdt/p): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
5. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdt/p): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
6. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
7. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt/p): musical instrument that a person plays or teaches or used in a music occupation, uses
8. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
9. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as wdt/p): official URL where the agent sells products/merchandise, official website
10. voice type, also known as range of voice, register, tessitura, type of voice, vocal type (wd:P412 as wdt/p): person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)

No other items found

[Assistant] The search for "perform" related properties for Madonna did not directly yield a property linking her to albums she performs on. I will try searching for properties related to "album" for the entity Madonna (wd:Q1744) to find a relevant property.

[Tool]
Top 10 property alternatives:
1. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as wdt/p): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. discography, also known as discography link, recording catalog (wd:P358 as wdt/p): item for list pages with discography of artist or band, list of works
4. 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)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
6. Album of the Year artist ID, also known as AOTY artist ID (wd:P7050 as wdt/p): identifier for an artist on the Album of the Year (AOTY) website
7. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as wdt/p): official URL where the agent sells products/merchandise, official website
8. record label, also known as label, labels (wd:P264 as wdt/p): brand and trademark associated with the marketing of subject music recordings and music videos
9. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as wdt/p): identifier for a musical artist or author in the U.S. version of Apple Music
10. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as wdt/p): notable scientific, artistic or literary work, or other work of significance among subject's works

No other items found

[Assistant] The search for properties related to "album" for Madonna did not directly yield a property linking her to albums she performs on. However, the property "discography" (wdt:P358) appears, which is a list of works (albums) of an artist. I will explore the property "discography" for Madonna (wd:Q1744) to see if it links to albums.

[Tool]
Got 1 row and 3 columns:
| subject            | property               | object       |
| ------------------ | ---------------------- | ------------ |
| Madonna (wd:Q1744) | discography (wdt:P358) | wd:Q14848569 |

[Assistant] The discography property for Madonna (wd:Q1744) links to wd:Q14848569. Let's check what wd:Q14848569 represents.

[Tool]
Got 151 rows and 3 columns, showing the first 10 rows below:
| subject      | property                               | object                                       |
| ------------ | -------------------------------------- | -------------------------------------------- |
| wd:Q14848569 | instance of (wdt:P31)                  | Wikimedia artist discography (wd:Q104635718) |
| wd:Q14848569 | main subject (wdt:P921)                | Madonna (wd:Q1744)                           |
| wd:Q14848569 | Commons category (wdt:P373)            | Madonna (entertainer) records                |
| wd:Q14848569 | different from (wdt:P1889)             | wd:Q18468610                                 |
| wd:Q14848569 | topic's main category (wdt:P910)       | wd:Q62063229                                 |
| wd:Q14848569 | has list (wdt:P2354)                   | wd:Q13616676                                 |
| wd:Q14848569 | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/12bfg3t8y>                 |
| wd:Q14848569 | wdt:P31279                             | discography (wd:Q273057)                     |
| wd:Q14848569 | schema:description                     | discografie (nl)                             |
| wd:Q14848569 | schema:name                            | Danh sách đĩa nhạc của Madonna (vi)          |
| ...          | ...                                    | ...                                          |

[Assistant] Wd:Q14848569 is an entity representing the discography of Madonna. It is an instance of Wikimedia artist discography. To find the albums Madonna performs on, I should look for albums where Madonna is listed as a performer. I will search for albums where Madonna (wd:Q1744) is the performer. I will try to find a property for "performer" or "artist" for albums.

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. character role, also known as role, plays, performer of, as, acting role (wd:P453 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
3. cover art by, also known as jacket art by, sleeve art by, designer, cover design by, cover artist (wd:P736 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): name of person or team creating cover artwork for book, record album, single record etc.
4. setlist, also known as set list, works performed, songs performed, performances, performance list (wd:P9793 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): performances of songs or other music at an event; concert program, presented works
5. number of representations, also known as shows, performances, number of shows, number of concerts, no. of shows (wd:P5027 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): number of shows (including the premiere) of a concert tour or a performing arts production
6. used by, also known as armiger, user, played by, of (wd:P1535 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): item or concept that makes use of the subject (use sub-properties when appropriate)
7. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): object depicting this subject (object being creative works such as books, films, paintings)
8. exhibited creator, also known as artist exhibited, exhibited artist (wd:P10661 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): intellectual or creative entity (person or organization) responsible for the elements exhibited, creator
9. Muziekweb performer ID, also known as Muziekweb artist ID, Muziekweb band ID (wd:P5882 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): identifier for a performer, composer or band at Muziekweb
10. talk show guest, also known as show guest, podcast guest, participant in talk show, participant in podcast interview, interviewed person (wd:P5030 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): person invited in a talk show, recorded participant

[Assistant] The property "performer" (wdt:P175) is the relevant property that links a musical work or album to its performer. I will now write a SPARQL query to count the number of albums where Madonna (wd:Q1744) is the performer.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 52 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the distinct albums where Madonna (wd:Q1744) is a performer (wdt:P175) and ensures these are instances of albums (wd:Q482994). The answer 'Madonna performs on 52 albums' is consistent with the query result. The query follows the rules by returning the count directly and does not include unnecessary label services. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?inception WHERE {
  wd:Q800176 wdt:P571 ?inception .
}
LIMIT 1

The jazz club Birdland in Hamburg (Eimsbüttel) was founded in 1985.

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

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

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

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

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

[User] When was the jazz club Birdland in Hamburg founded?

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

[Tool]
Example 1:
Question:
Which museum in New York has the most visitors?

SPARQL:
SELECT ?s1 WHERE {
  ?s1 wdt:P159 wd:Q60 .
  ?s1 wdt:P31 wd:Q33506 .
  ?s1 wdt:P1174 ?o1
}
order by ?o1
limit 1

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
New York City, also known as Capital of the World, Big Apple, the five boroughs, The City So Nice They Named It Twice, NY, NY (wd:Q60): most populous city in the United States

Using properties:
visitors per year, also known as annual visitors, yearly visitors (wd:P1174 as wdt): number of people visiting a location or an event each year
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
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:
Give me all Dutch parties.

SPARQL:
SELECT ?s1 WHERE {
  ?s1 wdt:P17 wd:Q55 .
  ?s1 wdt:P31 wd:Q7278 .
}

Using entities:
Netherlands, also known as 🇳🇱, the Netherlands, NL, nl, NED (wd:Q55): country in Northwestern Europe with territories in the Caribbean
political party, also known as political parties, parties (politics), party (politics), parties in politics, party in politics (wd:Q7278): organization that seeks to influence government policy and actio...nd be elected to directly take part on government or legislation

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
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:
How many movies did Park Chan-wook direct?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) as ?count ) WHERE {
  ?uri wdt:P57 wd:Q315484 .
}

Using entities:
Park Chan-wook, also known as Park Chan-uk, Chan-wook Park (wd:Q315484): South Korean film director, screenwriter and film producer (born 1963), film director, film producer, screenwriter, film critic, politician, director

Using properties:
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]
The question is about the jazz club Birdland in Hamburg and its founding date. We need to find the entity for Birdland in Hamburg and the property related to the founding date or inception.

Step 1: Search for the entity "Birdland Hamburg" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Hamburg, also known as Free and Hanseatic City of Hamburg, Hamburg, Germany, Hamburg, Freie und Hansestadt (wd:Q1055): city and state in the North of Germany
2. Hamburger SV, also known as Hamburg SV, HSV, H.S.V., Hamburg Sport Club, HamburgerSV (wd:Q51974): German sports club based in Hamburg, with its largest branch being its football department
3. Hamburg, also known as Hamburg, IA, Hamburg, Iowa (wd:Q998718): city in Fremont County, Iowa, United States
4. Hamburg, also known as Hamburg, AR, Hamburg, Arkansas (wd:Q79657): city in Ashley County, Arkansas, United States
5. Hamburg, also known as Hamburg, Minnesota, Hamburg, MN (wd:Q1005682): city in Carver County, Minnesota, United States
6. Hamburg, also known as Hamburg, New Jersey, Hamburg, NJ (wd:Q1082931): borough in Sussex County, New Jersey, United States
7. Hamburg, also known as Hamburg, New York, Hamburg, NY (wd:Q742785): town in Erie County, New York, United States
8. Hamburg, also known as Hamburg, IL (wd:Q2672139): village in Calhoun County, Illinois, United States
9. Oriole Park at Camden Yards, also known as Birdland, Camden Yards, The House that Cal Built, The Yard (wd:Q1141174): baseball stadium in Baltimore, Maryland
10. Hamburg, also known as Hamburg, PA, Hamburg, Pennsylvania (wd:Q1181264): borough in Berks County, Pennsylvania, United States

[Assistant]
The search for "Birdland Hamburg" did not directly return an entity for the jazz club Birdland in Hamburg. It mostly returned entities related to Hamburg city or other places named Hamburg. There is an entity for "Oriole Park at Camden Yards" which is also known as Birdland, but it is a baseball stadium in Baltimore, not a jazz club in Hamburg.

Next, I will try searching for "Birdland jazz club Hamburg" to see if there is a more specific entity for the jazz club.

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. Hamburger SV, also known as Hamburg SV, HSV, H.S.V., Hamburg Sport Club, HamburgerSV (wd:Q51974): German sports club based in Hamburg, with its largest branch being its football department
5. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
6. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
7. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
8. Reduta Jazz Club (wd:Q12049057): music club
9. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
10. Ealing Jazz Club (wd:Q5325487)

[Assistant]
There is no direct entity for the jazz club Birdland in Hamburg in the search results. The results mostly show general jazz club entities or other jazz clubs in different locations.

Next, I will try to find the property related to the founding date or inception of an entity. I will search for properties related to "founding date" or "inception".

[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 ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): time when an entity begins to exist; for date of official opening use P1619, start time
2. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): location where a group or organization was formed, location of creation
3. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): date when company, organization or city was incorporated
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): notable scientific, artistic or literary work, or other work of significance among subject's works
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): founder or co-founder of this organization, religion, place or entity, creator
6. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): text through which an institution or object has been created or established
7. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): date or point in time when the item was discovered or invented
8. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): date when a bill was introduced into a legislature, inception
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): time an entity begins to exist or a statement starts being valid, point in time
10. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as ps/pqv/prv/psn/wdt/pqn/psv/wdtn/prn/pq/pr/p): earliest date at which an event could have happened. Use as qualifier for other date properties

[Assistant]
The most relevant property for the founding date is "inception" (wdt:P571), which is used to indicate the time when an entity begins to exist.

Next, I will try to find the entity for the jazz club "Birdland" in general (not limited to Hamburg) to see if it exists in Wikidata and if it has any location information that could link it to Hamburg.

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
5. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
6. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
7. Reduta Jazz Club (wd:Q12049057): music club
8. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
9. Ealing Jazz Club (wd:Q5325487)
10. Yoshi's, also known as Yoshi's Oakland, Yoshi's Jazz Club (wd:Q2601061): nightclub located in Jack London Square in Oakland, California, United States

[Assistant]
There is no direct entity for the jazz club Birdland in the search results. The results mostly show general jazz clubs or other specific jazz clubs in different locations, but not Birdland.

Since the entity for Birdland jazz club in Hamburg is not directly found, I will try a different approach. I will search for jazz clubs located in Hamburg and see if Birdland is among them. For this, I will search for entities that are instances of jazz clubs and have a location in Hamburg.

[Tool]
Top 10 entity alternatives:
1. acid jazz, also known as club jazz, dancefloor jazz, dance-jazz (wd:Q221772): genre of music, mixing elements of funk, soul, jazz and electronic music
2. jazz club, also known as jazz venue (wd:Q1684522): type of club, music venue, dedicated to jazz music
3. clubjazz, also known as club jazz (wd:Q105637106): music genre
4. Hamburger SV, also known as Hamburg SV, HSV, H.S.V., Hamburg Sport Club, HamburgerSV (wd:Q51974): German sports club based in Hamburg, with its largest branch being its football department
5. FC Jazz, also known as Football Club Jazz (wd:Q1387226): association football club in Finland
6. Gypsy jazz, also known as Gypsy swing, hot club jazz, jazz manouche, manouche jazz, sinti jazz (wd:Q844245): music genre
7. Iridium Jazz Club (wd:Q1331383): jazz club in New York City
8. Reduta Jazz Club (wd:Q12049057): music club
9. JFC Jazz Club, also known as JFC-Club.spb (wd:Q123555148): Jazz Hall
10. Ealing Jazz Club (wd:Q5325487)

[Assistant]
The search for "jazz club Hamburg" did not return a specific entity for Birdland or any jazz club in Hamburg. The results are mostly general jazz club entities or other unrelated entities.

Next, I will try to find entities that are instances of jazz clubs and are located in Hamburg by constructing a SPARQL query to find such entities. This might help us identify the entity for Birdland in Hamburg if it exists in Wikidata.

[Tool]
Got 1 row and 2 columns:
| club          | clubLabel |
| ------------- | --------- |
| wd:Q106087772 |           |

[Tool]
Got 15 rows and 3 columns, showing the first 10 rows below:
| subject       | property                                                    | object                                                                 |
| ------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------- |
| wd:Q106087772 | instance of (wdt:P31)                                       | jazz club (wd:Q1684522)                                                |
| wd:Q106087772 | country (wdt:P17)                                           | Germany (wd:Q183)                                                      |
| wd:Q106087772 | located in the administrative territorial entity (wdt:P131) | Hamburg (wd:Q1055)                                                     |
| wd:Q106087772 | coordinate location (wdt:P625)                              | POINT(10.019107 53.566461) (geo:wktLiteral)                            |
| wd:Q106087772 | wdt:P31279                                                  | place (wd:Q98929991)                                                   |
| wd:Q106087772 | schema:description                                          | Jazz-Kneipe in der Papenhuderstraße auf der Uhlenhorst in Hamburg (de) |
| wd:Q106087772 | schema:name                                                 | Dennis’ Swing Club (de)                                                |
| wd:Q106087772 | rdf:type                                                    | wikibase:Item                                                          |
| wd:Q106087772 | rdfs:label                                                  | Dennis’ Swing Club (de)                                                |
| wd:Q106087772 | skos:altLabel                                               | Dennis' Swing Club (de)                                                |
| ...           | ...                                                         | ...                                                                    |

[Assistant]
The jazz club in Hamburg found is "Dennis' Swing Club" (wd:Q106087772), not Birdland. It seems Birdland in Hamburg is not present as an entity in Wikidata or not linked as a jazz club located in Hamburg.

Since the specific entity for Birdland jazz club in Hamburg is not found, I cannot provide the founding date from Wikidata.

I will now finalize and explain that the entity for Birdland jazz club in Hamburg is not found in Wikidata, so the founding date cannot be retrieved.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The system correctly identified that the specific entity for the jazz club Birdland in Hamburg is not found in Wikidata, which is why it failed to find an answer. However, it would be helpful to explicitly show the SPARQL queries attempted to confirm the absence of the entity or related properties. Additionally, the system could try alternative approaches such as searching for the club by alternative names or checking related entities like venues or organizations in Hamburg with the name Birdland. Since the entity is not found, the system should clearly communicate that the answer is not available in the knowledge graph rather than just stating failure. Overall, the system should retry with a more thorough search strategy or explicitly confirm the absence of the entity and provide a clear explanation to the user.

[Assistant]
Thank you for the feedback. I will retry with a more thorough search strategy and explicitly show the SPARQL queries used to confirm the absence of the entity or related properties. I will also try alternative approaches such as searching for the club by alternative names or checking related entities like venues or organizations in Hamburg with the name Birdland. If the entity is still not found, I will clearly communicate that the answer is not available in the knowledge graph with a detailed explanation.

Step 1: Search for entities with the name "Birdland" in Hamburg or related to Hamburg.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] The previous query timed out, likely because it was too broad. I will narrow down the search by looking for entities with the exact label "Birdland" or alternative labels containing "Birdland" and located in Hamburg.

[Tool] Got no rows and 2 columns

[Assistant]
No entities with the label or alternative label containing "Birdland" located in Hamburg were found.

Next, I will try to find entities that are instances of venues or organizations located in Hamburg with the name containing "Birdland". This might capture the jazz club if it is classified differently.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] The query timed out again, likely due to complexity. I will simplify the query to just look for entities located in Hamburg with labels containing "Birdland" without restricting the type.

[Tool] Got no rows and 2 columns

[Assistant]
No entities located in Hamburg with labels containing "Birdland" were found in Wikidata.

Next, I will try to find entities that are instances of jazz clubs (wd:Q1684522) with labels containing "Birdland" regardless of location, to see if the club exists but is not linked to Hamburg.

[Tool]
Got 6 rows and 2 columns:
| entity                          | entityLabel           |
| ------------------------------- | --------------------- |
| Birdland (wd:Q256347)           | Birdland (en)         |
| Birdland (wd:Q256347)           | Birdland (en)         |
| The Blue Coronet (wd:Q65548661) | The Blue Coronet (en) |
| Birdland (wd:Q800176)           | Birdland (en)         |
| Birdland (wd:Q800176)           | Birdland (en)         |
| Birdland (wd:Q800176)           | Birdland (en)         |

[Assistant] There are two entities named "Birdland" that are instances of jazz clubs: wd:Q256347 and wd:Q800176. Next, I will check if either of these entities is located in Hamburg or has any location information.

[Tool]
Got 2 rows and 3 columns:
| entity                | location               | locationLabel      |
| --------------------- | ---------------------- | ------------------ |
| Birdland (wd:Q800176) | Eimsbüttel (wd:Q1632)  | Eimsbüttel (en)    |
| Birdland (wd:Q256347) | New York City (wd:Q60) | New York City (en) |

[Assistant]
The entity Birdland (wd:Q800176) is located in Eimsbüttel, which is a borough of Hamburg. The other Birdland (wd:Q256347) is located in New York City.

Next, I will query the inception (founding date) of Birdland (wd:Q800176) to answer the original question.

[Tool]
Got 1 row and 1 column:
| inception                           |
| ----------------------------------- |
| 1985-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inception date (property P571) of the jazz club Birdland in Hamburg (entity Q800176). The answer '1985' matches the query result and is relevant to the user's question about the founding date. The query is simple, precise, and returns the expected information. No further refinement is needed.


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 ?author ?authorLabel WHERE {
  wd:Q44649835 wdt:P50 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}

The author of "Prototypical Networks for Few-shot Learning" is Richard S. Zemel.

[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 wrote "Prototypical Networks for Few-shot Learning"?

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

[Tool]
Example 1:
Question:
How many people live in Poland?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q36 wdt:P1082 ?uri
}

Using entities:
Poland, also known as Republic of Poland (wd:Q36): country in Central Europe

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 2:
Question:
When will start the final match of the football world cup 2018?

SPARQL:
SELECT DISTINCT ?val WHERE {
  wd:Q170645 wdt:P3967 ?finalEvent .
  ?finalEvent wdt:P580 ?val .
}

Using entities:
2018 FIFA World Cup, also known as FIFA 2018, FIFA World Cup 2018, World Cup 2018, World Cup 2018 in Russia, 2018 World Cup (wd:Q170645): 21st FIFA World Cup, held in Russia

Using properties:
final event (wd:P3967 as wdt): final event of a competition
start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt): time an entity begins to exist or a statement starts being valid, point in time

Example 3:
Question:
Who is the mayor of Paris?

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

[Assistant] The examples did not directly relate to authorship of papers, so I will now search for the entity "Prototypical Networks for Few-shot Learning" in Wikidata to see if it exists as an item.

[Tool]
Top 10 entity alternatives:
1. Prototypical Networks for Few-shot Learning (wd:Q44649835): scientific article published in January 2017
2. Hybrid Graph Neural Networks for Few-Shot Learning (wd:Q114887023): scientific article published in 2022
3. Convolutional Shrinkage Neural N...a-Learning for Few-Shot Learning (wd:Q114955057): scientific article published in 2022
4. Facial Skin Type Analysis Using ...rning with Prototypical Networks (wd:Q129793741): scholarly article published on 31 December 2023
5. Few-Shot Ensemble Learning for V...on with SlowFast Memory Networks (wd:Q130987343): scientific article published on 12 October 2020
6. Co-Learning for Few-Shot Learning (wd:Q114955104): scientific article published in 2022
7. Differential learning for learning networks (wd:Q123992464): US patent 11468327
8. Bayesian Learning for Neural Networks (wd:Q60016544): scientific article published in 1996
9. Information Maximization for Few-Shot Learning (wd:Q104090143): scientific article published in November 2020
10. Ensemble Learning for Multi-Layer Networks (wd:Q77697315): scholarly article by David Barber & Christopher M. Bishop published 1998 in Advances in Neural Information Processing Systems 10

[Assistant] I found the entity "Prototypical Networks for Few-shot Learning" as a scientific article with the identifier wd:Q44649835. Now I will look for the property that relates this article to its author(s). Commonly used property for author is "author" (wdt:P50). I will check if this property is used for this article.

[Tool]
Got 1 row and 3 columns:
| subject                                                    | property         | object                          |
| ---------------------------------------------------------- | ---------------- | ------------------------------- |
| Prototypical Networks for Few-shot Learning (wd:Q44649835) | author (wdt:P50) | Richard S. Zemel (wd:Q26702597) |

[Assistant] The author of "Prototypical Networks for Few-shot Learning" (wd:Q44649835) is Richard S. Zemel (wd:Q26702597). I will now check if there are more authors by querying all authors of this article.

[Tool]
Got 1 row and 2 columns:
| author                          | authorLabel           |
| ------------------------------- | --------------------- |
| Richard S. Zemel (wd:Q26702597) | Richard S. Zemel (en) |

[Assistant] The only author listed for "Prototypical Networks for Few-shot Learning" is Richard S. Zemel. I will now finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the author of the scientific article "Prototypical Networks for Few-shot Learning" by using the property wdt:P50 (author). The query also optionally retrieves the English label of the author, which is helpful for readability. The execution result shows the correct author, Richard S. Zemel, which matches the answer provided. The query follows the rules by returning the actual identifier and label optionally. No further refinement is necessary.