PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?game ) AS ?count ) WHERE {
  ?game wdt:P31 / wdt:P279 * wd:Q7889 ; wdt:P577 ?date .
  FILTER ( YEAR( ?date ) = 2016 ) FILTER ( ?game != wd:Q24514682 )
}

5,304 other video games began (were published) in the same year as Dead by Daylight (2016).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] How many other video games began the same year as Dead by Daylight?

[Assistant]
Let's break down the question:

1. Identify the entity for "Dead by Daylight" in Wikidata.
2. Find the property for "publication date" or "release year" for video games.
3. Find all video games released in the same year as "Dead by Daylight".
4. Count how many other video games (excluding "Dead by Daylight" itself) were released that year.

Let's start by searching for the entity "Dead by Daylight".

[Tool]
Top 10 entity alternatives:
1. Dead by Daylight, also known as dbd (wd:Q24514682): 2016 asymmetric survival horror video game developed by Behaviour Interactive
2. Dead by Daylight, also known as DBD (wd:Q116976554): upcoming horror film based in the videogame
3. Dead by Daylight universe (wd:Q125569668): narrative universe of the 2016 video game Dead by Daylight
4. Dead by Daylight: Bloodstained Sack (wd:Q98802595): 2016 downloadable content
5. Hooked on You: A Dead by Daylight Dating Sim, also known as A Dead by Daylight Dating Sim, Hooked on You (wd:Q113468031): 2022 video game
6. Dead by Daylight - Hellraiser chapter (wd:Q125760779): 2021 downloadable content
7. Dead by Daylight - All-Kill Chapter (wd:Q125760955): 2021 downloadable content
8. Dead by Daylight - Terror Expansion Pack (wd:Q125760940): 2021 downloadable content
9. Dead by Daylight - Sadako Rising Chapter (wd:Q125570431): 2022 downloadable content
10. Dead by Daylight - Resident Evil Chapter (wd:Q125760789): 2021 downloadable content

[Assistant]
The main video game "Dead by Daylight" is represented by wd:Q24514682 in Wikidata.

Next, I need to find the property for "publication date" or "release year" for video games. I will search for the property "publication date".

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date or point in time when a work was first published or released, point in time
2. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
3. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): geographical place of publication of the edition (use 1st edition when referring to works), significant place
4. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): larger work that a given work was published in, like a book, journal or music album, part of
5. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): time of the first public presentation of a subject by the creator, of information by the media, point in time
6. edition number, also known as number of event, software version number, version number (wd:P393 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): number of an edition (first, second, ... as 1, 2, ...) or event, series ordinal
7. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
8. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): method (or type) of distribution for the subject
9. publication interval, also known as frequency of publication, interval of publication, publication cycle, publication frequency, update frequency (wd:P2896 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): standard publication interval for daily or periodical publications, event interval
10. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): platform for which a work was developed or released, or the specific platform version of a software product

[Assistant]
The property "publication date" (wdt:P577) is the correct one to use for the release date of video games.

Now, I need to find the publication date of "Dead by Daylight" (wd:Q24514682) using this property.

[Tool]
Got 1 row and 3 columns:
| subject                         | property                    | object                              |
| ------------------------------- | --------------------------- | ----------------------------------- |
| Dead by Daylight (wd:Q24514682) | publication date (wdt:P577) | 2016-06-14T00:00:00Z (xsd:dateTime) |

[Assistant]
"Dead by Daylight" was published on 2016-06-14. So, the year of publication is 2016.

Next, I need to find all video games published in 2016. First, let's confirm the entity for "video game" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. video game, also known as computer game, computer games, vg, videogame, videogames (wd:Q7889): electronic game with user interface and visual feedback
2. video game (wd:Q56312618): electronic game that involves interaction with a user interface ...edback on a video device such as a TV screen or computer monitor
3. 🎮, also known as U+1F3AE, VIDEO GAME (wd:Q87577146): Unicode character which may be used to communicate 'game'
4. Video Game (wd:Q105393890): 2021 single by Sufjan Stevens
5. VIDEO GAME (wd:Q126697592): 2018 video game
6. Gulf War, also known as Video Game War, Persian Gulf War, Operation Desert Storm, Kuwait War, Gulf War I (wd:Q37643): 1990–1991 conflict between Iraq and a 42-country coalition
7. video game console, also known as video-game console, Video game console, gaming console, games console, game console (wd:Q8076): interactive entertainment computer or customized computer system for running video games
8. first-person shooter, also known as FPS video game, FPS game, FPS, fps, first-person shooter video game (wd:Q185029): video game genre centered around gun and other weapon-based combat in a first-person perspective
9. game engine, also known as video game engine (wd:Q193564): system designed for the creation and development of video games
10. multiplayer video game, also known as multiplayer, multiplayer computer game, multiplayer game, multiplayer mode (wd:Q6895044): video game where multiple players can play together

[Assistant]
The main entity for "video game" is wd:Q7889.

Now, I will construct a SPARQL query to count all video games (wd:Q7889 or its subclasses) with publication date in 2016, excluding "Dead by Daylight" (wd:Q24514682).

To ensure completeness, I will use the "instance of" (wdt:P31) property and filter for the year 2016 in the publication date.

[Tool]
Got 1 row and 1 column:
| count          |
| -------------- |
| 5304 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and follows all the required rules. It counts the number of video games (excluding Dead by Daylight itself) that have a publication date in 2016. The query uses the correct properties and entities, and does not use any unsupported features. The answer is accurate and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?occupation ) AS ?numOccupations ) WHERE {
  ?winner wdt:P166 wd:Q37922 .
  ?winner wdt:P26 ?spouse .
  ?spouse wdt:P106 ?occupation .
}

Got 1 row and 1 column:
| numOccupations |
| -------------- |
| 72 (xsd:int)   |

Spouses of winners of the Nobel Prize in Literature have held 72 different occupations, according to Wikidata.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] How many different occupations did/do spouses of winners of the Nobel Prize in Literature hold?

[Assistant]
Let's break down the question:

1. We need to identify all winners of the Nobel Prize in Literature.
2. For each winner, we need to find their spouse(s).
3. For each spouse, we need to find their occupation(s).
4. We need to count the number of distinct occupations held by these spouses.

Let's proceed step by step.

Step 1: Find the entity for the Nobel Prize in Literature.

[Tool]
Top 10 entity alternatives:
1. Nobel Prize in Literature, also known as Nobel Literature Prize (wd:Q37922): one of five prizes established by Alfred Nobel
2. 2022 Nobel Prize in Literature (wd:Q112594135): literary award to French author Annie Ernaux
3. 1901 Nobel Prize in Literature (wd:Q15918052)
4. 2023 Nobel Prize in Literature (wd:Q115937544)
5. 2012 Nobel Prize in Literature (wd:Q10845886)
6. 1905 Nobel Prize in Literature (wd:Q112731128)
7. 1908 Nobel Prize in Literature (wd:Q112731708)
8. 2003 Nobel Prize in Literature (wd:Q113212896)
9. 1938 Nobel Prize in Literature (wd:Q112811579)
10. 1954 Nobel Prize in Literature (wd:Q107359944): award

[Assistant]
The main entity for the Nobel Prize in Literature is wd:Q37922.

Next, we need to find all winners (laureates) of this prize. Let's search for the property that links a person to being a Nobel Prize in Literature winner.

[Tool]
Top 10 property alternatives:
1. National Humanities Medal winner ID (wd:P5657 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): identifier for a National Humanities Medal winner on the National Endowment for the Humanities website
2. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
3. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): use as qualifier to indicate how the object's value was given in the source, name
4. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
5. Nobel Prize People Nomination ID (wd:P3360 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): identifier for a person who nominated someone, or who was nominated, for a Nobel Prize
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): notable scientific, artistic or literary work, or other work of significance among subject's works
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): award or recognition received by a person, organization or creative work
8. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
9. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
10. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): structure of a creative work

[Assistant]
The property "award received" (wd:P166) is used to indicate that a person has received a specific award, such as the Nobel Prize in Literature.

Next, let's confirm that we can use `wdt:P166` with `wd:Q37922` to get all winners of the Nobel Prize in Literature.

[Tool]
Got 5 rows and 1 column:
| winner                         |
| ------------------------------ |
| Jaroslav Seifert (wd:Q102483)  |
| Annie Ernaux (wd:Q1153825)     |
| Władysław Reymont (wd:Q121180) |
| Sinclair Lewis (wd:Q123469)    |
| José Echegaray (wd:Q127349)    |

[Assistant]
Yes, using `wdt:P166 wd:Q37922` gives us the winners of the Nobel Prize in Literature.

Next, for each winner, we need to find their spouse(s). Let's search for the property that links a person to their spouse.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

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

Now, for each Nobel Prize in Literature winner, we can use `wdt:P26` to get their spouse(s).

Next, we need to find the occupation(s) of each spouse. Let's search for the property that links a person to their occupation.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The property for occupation is wd:P106.

Now, we have all the necessary properties and entities:
- Nobel Prize in Literature: wd:Q37922
- Award received: wdt:P166
- Spouse: wdt:P26
- Occupation: wdt:P106

Next, let's construct a SPARQL query to:
1. Get all winners of the Nobel Prize in Literature.
2. Get their spouses.
3. Get the occupations of those spouses.
4. Count the number of distinct occupations.

Let's write and execute a query to check if this approach works.

[Tool]
Got 72 rows and 1 column, showing the first 5 and last 5 rows below:
| occupation                        |
| --------------------------------- |
| painter (wd:Q1028181)             |
| film actor (wd:Q10800557)         |
| handicrafter (wd:Q11479517)       |
| political activist (wd:Q11499147) |
| memoirist (wd:Q11774156)          |
| ...                               |
| ballet dancer (wd:Q805221)        |
| secretary (wd:Q80687)             |
| politician (wd:Q82955)            |
| biographer (wd:Q864380)           |
| geographer (wd:Q901402)           |

[Tool]
Got 1 row and 1 column:
| numOccupations |
| -------------- |
| 72 (xsd:int)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of distinct occupations held by spouses of Nobel Prize in Literature winners. It uses the appropriate properties and entities, and the result is presented as requested. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?university ?inception WHERE {
  VALUES ?university {
    wd:Q34433 wd:Q35794
  }
  ?university wdt:P571 ?inception .
}

The University of Oxford was established in 1096, and the University of Cambridge was established in 1209. Therefore, the University of Oxford was established earlier.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] which university is established earlier, university of oxford or university of cambridge?

[Assistant]
Let's break down the question:

1. We need to identify the entities for "University of Oxford" and "University of Cambridge" in Wikidata.
2. We need to find the property that indicates the establishment date (likely "inception" or "founding date").
3. We need to compare the two dates and determine which university was established earlier.

Let's start by searching for the entities "University of Oxford" and "University of Cambridge".

[Tool]
Top 10 entity alternatives:
1. University of Oxford, also known as Univ. of Oxford, Universitas Oxoniensis, The University of Oxford, Oxon., Oxford (wd:Q34433): collegiate research university in Oxford, England
2. University of Oxford (wd:Q58944020): scholarly article
3. WikiProject University of Oxford (wd:Q21831045): Wikimedia subject-area collaboration
4. ISCA, University of Oxford (wd:Q52666568): Academic publisher based in United Kingdom
5. The University of Oxford (wd:Q61960212): scientific article published in March 2016
6. University of Oxford Finance (wd:Q102523083): business school
7. University of Oxford: Erratum (wd:Q94059932): scholarly article published in The BMJ
8. University of Oxford Latin American Centre, also known as University of Oxford LAC (wd:Q85960644): research centre in the UK
9. University of Oxford Blackfriars (wd:Q86020251): academic department in the UK
10. University of Oxford University College Oxford (wd:Q86020246): academic department in the UK

[Tool]
Top 10 entity alternatives:
1. University of Cambridge, also known as Cambridge University, The Chancellor, Masters, and Sch...s of the University of Cambridge, Cambridge, The University of Cambridge, Universitas Cantabrigiensis (wd:Q35794): collegiate public research university in Cambridge, England, United Kingdom
2. University of Cambridge, also known as The University of Cambridge, Universitas Cantabrigiensis, The Chancellor, Masters, and Sch...s of the University of Cambridge, Cambridge University, Cambridge (wd:Q35794): collegiate public research university in Cambridge, England, United Kingdom
3. University of Cambridge (wd:Q60109853): scholarly article published in Nature 148, November 1941
4. University of Cambridge (wd:Q60080699): scholarly article published in Nature 161, June 1948
5. University of Cambridge (wd:Q110095020): engraving by Nathaniel Parr
6. Cambridge University Constabulary, also known as University of Cambridge Constabulary (wd:Q304220)
7. University of Cambridge Museums & Botanic Garden, also known as University of Cambridge Museums (wd:Q17028042): consortium of museums of the University of Cambridge, United Kigdom
8. University of Cambridge legends (wd:Q7895218)
9. WikiProject University of Cambridge (wd:Q21831036): Wikimedia subject-area collaboration
10. Eur.Th.Group Of Cambridge University (wd:Q54909497): UK organization

[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 pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): 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 pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): 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 pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date when company, organization or city was incorporated
4. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date or point in time a place, organization, or event officially opened, start time, inception
5. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): name by which a subject is recorded in a database, mentioned as a contributor of a work, or is referred to in a particular context, name
6. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date when a bill was introduced into a legislature, inception
7. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date or point in time on which a piece or class of equipment entered operational service, start time
8. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): text through which an institution or object has been created or established
9. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): founder or co-founder of this organization, religion, place or entity, creator
10. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): notable scientific, artistic or literary work, or other work of significance among subject's works

[Tool]
Got 2 rows and 3 columns:
| university                          | universityLabel              | inception                           |
| ----------------------------------- | ---------------------------- | ----------------------------------- |
| University of Oxford (wd:Q34433)    | University of Oxford (en)    | 1096-01-01T00:00:00Z (xsd:dateTime) |
| University of Cambridge (wd:Q35794) | University of Cambridge (en) | 1209-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly compares the inception dates of the University of Oxford and the University of Cambridge and returns the university established earlier. However, the query only returns the earliest university (Oxford) and its inception date, not both universities and their respective inception dates. For full transparency and to allow a direct comparison, the query should return both universities and their inception dates, and then the answer can be derived from the data. Please modify the query to return both universities and their inception dates.

[Assistant]
Thank you for the feedback. You are correct: for full transparency and direct comparison, the query should return both universities and their inception dates.

Here is my revised approach:
- The query will return both universities (University of Oxford and University of Cambridge) and their inception dates.
- This allows anyone to directly compare the dates and see which was established earlier.

Here is the improved SPARQL query and answer:

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the inception dates for both the University of Oxford and the University of Cambridge using their Wikidata identifiers and the 'inception' property. The answer accurately compares the two dates and provides the correct conclusion. The query returns the IRIs as required, and all computation is performed within SPARQL. No further refinement is necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?movement WHERE {
  wd:Q117012 wdt:P135 ?movement
}

Yoko Ono was part of the Fluxus art movement (wd:Q108908).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Which art movement was Yoko Ono part of?

[Assistant]
Let's break down the question:

1. The entity is "Yoko Ono".
2. The property is "art movement".
3. The expected answer is the art movement(s) associated with Yoko Ono.

First, I will search for the entity "Yoko Ono" in Wikidata to get her identifier.

[Tool]
Top 10 entity alternatives:
1. Yoko Ono, also known as Yōko Ono, Ono Yōko, Yoko Ono Lennon, Ĭoko Ono, Ono (wd:Q117012): Japanese artist and activist based in the United States, performance artist, conceptual artist, recording artist, peace activist, visual artist, film director, photographer, filmmaker, sculptor, composer, painter, singer
2. Yōko Ōno, also known as Ono Yoko, Youko Ouno, Yoko Ono, Ōno Yōko (wd:Q16264827): Japanese judoka, judoka
3. Yoko Ono (wd:Q1867590): song by Die Ärzte
4. Yōko Ono, also known as Ono Yoko, Youko Ono, Yoko Ono, Ono Yōko (wd:Q11464149): Japanese actress born in 1954, actor, seiyū
5. Ono, Yoko (wd:Q103989374): encyclopedia article
6. Yoko Ono/Plastic Ono Band (wd:Q507672): album
7. Plastic Ono Band, also known as Plastic Ono Elephant's Memory Band, Plastic Ono Nuclear Band, Plastic U.F. Ono Band, The Plastic Ono Band, Yoko Ono Plastic Ono Band (wd:Q731721): UK musical group; rock band
8. Be My Yoko Ono (wd:Q4875557): 1992 single by Barenaked Ladies
9. Yoko Ono Lennon Centre, also known as Tung Auditorium (wd:Q130417289): teaching and performance facility in Liverpool
10. John Lennon and Yoko Ono, also known as Yoko & John, Yoko Ono & John Lennon, Yoko Ono and John Lennon, John & Yoko, John Lennon & Yoko Ono (wd:Q47122619): musical duo; couple

[Assistant]
The top result for "Yoko Ono" is wd:Q117012, which is the Japanese artist and activist.

Next, I need to find the property for "art movement" in Wikidata.

[Tool]
Top 10 property alternatives:
1. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
2. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): structure of a creative work
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): primary topic of a work (see also P180: depicts), depicts
5. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier on "depicts" (P180) for human position of an individual in an artwork
6. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): maker of this creative work or other object (where no more specific property exists)
7. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): notable scientific, artistic or literary work, or other work of significance among subject's works
8. after a work by, also known as inspirational artist, inspiring artist, copy of a work by, based on a work by, artist who inspired this (wd:P1877 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): artist whose work strongly inspired / was copied in this item, significant person
9. art name, also known as artistic name, hao, hiệu (wd:P1787 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): type of pseudonym of modern and historical artists as well as sp...ically traditionally adopted by writers and artists in East Asia
10. exhibited creator, also known as artist exhibited, exhibited artist (wd:P10661 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): intellectual or creative entity (person or organization) responsible for the elements exhibited, creator

[Assistant]
The property "movement" (wd:P135) is used for literary, artistic, scientific, or philosophical movements associated with a person or work. This matches the "art movement" in the question.

Now, I will construct a SPARQL query to find the art movement(s) (wd:P135) associated with Yoko Ono (wd:Q117012). I will also try to retrieve the labels of the movements for better readability.

[Tool]
Got 1 row and 2 columns:
| movement            | movementLabel |
| ------------------- | ------------- |
| Fluxus (wd:Q108908) | Fluxus (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the art movement associated with Yoko Ono by querying the 'movement' (wdt:P135) property for the entity Yoko Ono (wd:Q117012). The result, Fluxus (wd:Q108908), is accurate and matches the expected answer. The query returns the IRI as required, and no unnecessary computation or filtering is performed outside of SPARQL. The answer is complete and correct.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?oa ?releaseDate WHERE {
  VALUES ?oa {
    wd:Q19798744
  }
  ?oa wdt:P577 ?releaseDate
}

The OA (wd:Q19798744) was first released on 2016-12-16.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] When did The OA was first released?

[Assistant]
Let's break down the question:

1. The user is asking for the release date of "The OA".
2. I need to identify the entity for "The OA" in Wikidata.
3. Then, I need to find the property that represents the "first release date" or "publication date" for a TV series.

First, I'll search for the entity "The OA" in Wikidata.

[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]
The most relevant entity for "The OA" TV series is wd:Q19798744.

Next, I need to find the property that represents the "first release date" or "publication date" for a TV series. I'll search for properties related to "release date".

[Tool]
Top 10 property alternatives:
1. 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
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
6. 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
7. 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]
8. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as p/wdt): length of time of an event or process
9. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as p/wdt): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
10. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor

No other items found

[Tool]
Top 10 property alternatives:
1. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as p/wdt): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. 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
4. 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
5. 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)
6. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as p/wdt): length of time of an event or process
7. 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
8. Schnittberichte.com title ID (wd:P12241 as p/wdt): identifier in the Schnittberichte.com database
9. 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
10. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

No other items found

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

[Assistant]
From the listed properties, "start time" (wdt:P580) with the value "2016-12-16" appears to represent the first release date of "The OA".

I will now construct a SPARQL query to return the start time (first release date) of "The OA" (wd:Q19798744).

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is correct and the SPARQL query retrieves the release date of 'The OA' using the property 'start time' (P580). However, the query only returns the date value and not the IRI of the item, which is required by the guidelines. To fully comply, the query should also return the IRI of 'The OA' (wd:Q19798744) in the result set. For example: SELECT ?oa ?releaseDate WHERE { VALUES ?oa { wd:Q19798744 } ?oa wdt:P580 ?releaseDate }.

[Assistant]
Thank you for the feedback. To comply with the guidelines, I will update the SPARQL query to include the IRI of "The OA" (wd:Q19798744) in the result set, along with the release date.

Here is the revised query:

```sparql
SELECT ?oa ?releaseDate WHERE {
  VALUES ?oa { wd:Q19798744 }
  ?oa wdt:P580 ?releaseDate
}
```

This query returns both the IRI of "The OA" and its release date. Now, I will provide the final answer using this improved query.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer is correct in terms of the date, and the query returns the correct release date for The OA. However, the property used (wdt:P580, 'start time') is not the most precise for television series release dates. The more appropriate property for a film or TV series release date is 'publication date' (wdt:P577). To improve precision and ensure best practices, the query should use wdt:P577 instead of wdt:P580. Please refine the query accordingly.

[Assistant]
Thank you for the feedback. You are correct: for films and television series, the property 'publication date' (wdt:P577) is more precise and appropriate than 'start time' (wdt:P580).

I will refine the query to use wdt:P577 instead:

```sparql
SELECT ?oa ?releaseDate WHERE {
  VALUES ?oa { wd:Q19798744 }
  ?oa wdt:P577 ?releaseDate
}
```

This will ensure we are using the best practice property for release dates of creative works like TV series.

Now, I will provide the final answer using this improved query.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?headOfState ) AS ?count ) WHERE {
  wd:Q794 wdt:P35 ?headOfState
}

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

Iran currently has 1 head of state.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] how many head of the state does iran have?

[Assistant]
Let's break down the question:

1. The user is asking about the number of "head of the state" positions in Iran.
2. I need to identify the entity for Iran and the property for "head of state".
3. Then, I need to count how many entities are currently or have been head of state of Iran.

Step 1: Search for the entity "Iran".

[Tool]
Top 10 entity alternatives:
1. Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia
2. Qajar Iran, also known as Guarded Domains of Persia, Sublime State of Persia, Qajar Persia, Persia, Iran (wd:Q63158027): country in Western Asia (1789–1925)
3. Iran (wd:Q2043606): village in North Ossetia, Russia
4. Iran, also known as Īrān (wd:Q10859757): Iranian newspaper
5. IRAN, also known as Iran: Journal of the British Institute of Persian Studies (wd:Q5973372): academic journal
6. Irane Man, also known as Iran (wd:Q100939484): 2018 studio by Homayoun Shajarian & Sohrab Pournazeri
7. IRAN (wd:Q108434787): herbarium
8. Iran, also known as Iran (first name), Iran (given name) (wd:Q21286079): male given name
9. Iran, also known as IMO 5327817 (wd:Q101778560): ship built in 1941
10. Iran (wd:Q96382820): About Iran

[Assistant]
The most relevant entity for Iran as a country is wd:Q794.

Step 2: Search for the property "head of state" to find the correct property to use in the query.

[Tool]
Top 10 property alternatives:
1. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): political office that is fulfilled by the head of state of this item
2. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): official with the highest formal authority in a country/state, director / manager, chairperson
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. 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 pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): political office that is fulfilled by the head of the government of this item
5. rector, also known as chancellor, university president, Rector (academia), president (wd:P1075 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): senior official in an educational institution., director / manager, chairperson
6. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): presiding member of an organization, group or body, director / manager, significant person
7. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): organization which is directed by this office
8. 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 pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): position of the head of this item
9. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): persons who hold and/or held the position
10. country, also known as sovereign state, state, land, host country (wd:P17 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Assistant]
The most relevant property for "head of state" is wd:P35.

Step 3: Now, I need to find out how many heads of state Iran has. This could mean:
- How many people currently hold the position (likely 1, but let's check).
- Or, possibly, how many people have ever held the position.

The user asked "does Iran have" (present tense), so I will focus on the current head(s) of state.

To do this, I will query for the current head(s) of state of Iran using wd:Q794 and wdt:P35.

[Tool]
Got 1 row and 1 column:
| headOfState              |
| ------------------------ |
| Ali Khamenei (wd:Q57336) |

[Assistant]
The query result shows that Iran currently has one head of state: Ali Khamenei.

Here is the final SPARQL query and answer:

SPARQL:
SELECT ?headOfState WHERE { wd:Q794 wdt:P35 ?headOfState }

Answer:
Iran currently has one head of state.

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the current head of state of Iran. However, the user's question asks for the number of heads of state, not their identity. The query should count the number of results and return that count. For example, use SELECT (COUNT(?headOfState) AS ?count) WHERE { wd:Q794 wdt:P35 ?headOfState } to directly answer the question. Please refine the query to return the count.

[Assistant]
Thank you for the feedback. You are correct: the query should return the count of current heads of state for Iran, not their identities.

I will refine the SPARQL query to count the number of current heads of state for Iran using the COUNT aggregate function.

Here is the improved query:

SELECT (COUNT(?headOfState) AS ?count) WHERE { wd:Q794 wdt:P35 ?headOfState }

I will now provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and directly answers the user's question by counting the number of current heads of state for Iran using the appropriate property (wdt:P35) on the correct entity (wd:Q794). The result matches the expected answer. No further refinement is necessary.