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

Got 1 row and 1 column:
| ?count |
| ------ |
| 5007   |

5007 other video games began the same year as Dead by Daylight.

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

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

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

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

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

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

[Assistant]
To answer this question, we need to first identify the release year of the game "Dead by Daylight". Then, we can count how many other video games were released in the same year.

Let's start by finding the release year of "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]
We found the correct entity for "Dead by Daylight" which is `wd:Q24514682`. Now, let's find out the release year of this game.

I'll use the `list` function to find the release date property of the game.

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

[Assistant]
The game "Dead by Daylight" was published on June 14, 2016. We now need to find out how many other video games were released in the same year, 2016.

Next, I will construct a SPARQL query to count the number of video games that were released in 2016, excluding "Dead by Daylight" itself.

Let's write the SPARQL query:

```sparql
SELECT (COUNT(?game) AS ?count)
WHERE {
  ?game wdt:P31 wd:Q7889 ;  # Instance of video game
        wdt:P577 ?date .    # Publication date
  FILTER(YEAR(?date) = 2016)
  FILTER(?game != wd:Q24514682)  # Exclude Dead by Daylight
}
```

Now, let's execute this query to get the count.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 5007   |

[Assistant]
The SPARQL query returned a count of 5007 other video games that were released in the same year as "Dead by Daylight".

Therefore, the answer to the question is that 5007 other video games began the same year as "Dead by Daylight".

I will now provide the final answer.

[Tool] Stopped generation process


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

Got 71 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)           |

Spouses of Nobel Prize in Literature winners have held 71 different occupations.

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

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

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

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

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

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

[Assistant]
To answer this question, we need to identify the following elements:

1. The Nobel Prize in Literature (wd:Q7286).
2. Winners of the Nobel Prize in Literature (people who have received the Nobel Prize in Literature).
3. Spouses of these winners.
4. Occupations held by these spouses.

Let's start by identifying the Nobel Prize in Literature and the property that links people to the prize they won.

[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 correct entity for the Nobel Prize in Literature is `wd:Q37922`. Next, we need to find the property that connects people to the Nobel Prize in Literature they have won. We'll search for properties related to winning the Nobel Prize in Literature.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): award or recognition received by a person, organization or creative work
2. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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
4. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): structure of a creative work
5. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): notable scientific, artistic or literary work, or other work of significance among subject's works
6. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
7. Nobel Prize People Nomination ID (wd:P3360 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): identifier for a person who nominated someone, or who was nominated, for a Nobel Prize
8. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time when a work was first published or released, point in time
9. literal translation, also known as translation (literal), word-for-word translation, direct translation, lit. (wd:P2441 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): direct or word-for-word translation of a name or phrase (qualifier for name, title, inscription, and quotation properties)
10. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))

[Assistant]
The relevant property for connecting people to the Nobel Prize in Literature they have won is `wdt:P166` (award received).

Next, we need to find the property that connects a person to their spouse. We'll search for properties related to spouses.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The relevant property for connecting a person to their spouse is `wdt:P26` (spouse).

Now, we need to find the property that connects a person to their occupation. We'll search for properties related to occupation.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The relevant property for connecting a person to their occupation is `wdt:P106` (occupation).

Now that we have all the necessary properties, we can construct the SPARQL query to find out how many different occupations spouses of Nobel Prize in Literature winners have held. We will select distinct occupations to avoid counting duplicates.

Let's write the SPARQL query and execute it to get the result.

[Tool]
Got 71 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)           |

[Assistant]
The SPARQL query returned 71 distinct occupations held by spouses of Nobel Prize in Literature winners.

Based on the results, we can conclude that spouses of Nobel Prize in Literature winners have held 71 different occupations.

Let's provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?university ?date WHERE {
  VALUES ( ?university ) {
    ( wd:Q34433 ) ( wd:Q35794 )
  }
  ?university wdt:P571 ?date .
  OPTIONAL {
    ?university rdfs:label ?universityLabel FILTER ( LANG( ?universityLabel ) = "en" )
  }
}

The University of Oxford (wd:Q34433) was established earlier than the University of Cambridge (wd:Q35794). The establishment dates are 1096-01-01 for the University of Oxford and 1209-01-01 for the University of Cambridge.

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

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

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

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

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

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

[Assistant] To answer this question, I need to identify the entities for "University of Oxford" and "University of Cambridge" and then find their establishment dates. I'll start by searching for these universities in the knowledge graph.

[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

[Assistant]
From the search results, I've identified the correct entities for both universities:
- University of Oxford: wd:Q34433
- University of Cambridge: wd:Q35794

Next, I need to find the property that represents the establishment date of these universities. I'll search for properties related to "establishment" or "founding" in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): location where a group or organization was formed, location of creation
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
3. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time on which a piece or class of equipment entered operational service, start time
4. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): text through which an institution or object has been created or established
7. main regulatory text, also known as regulated by, statutory authorization, statutory authority, legally established by, legal basis (wd:P92 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): text setting the main rules by which the subject is regulated
8. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): notable scientific, artistic or literary work, or other work of significance among subject's works
9. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
10. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time a place, organization, or event officially opened, start time, 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): notable scientific, artistic or literary work, or other work of significance among subject's works
3. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): location where a group or organization was formed, location of creation
4. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): text through which an institution or object has been created or established
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): founder or co-founder of this organization, religion, place or entity, creator
6. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): time an entity begins to exist or a statement starts being valid, point in time
8. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date when company, organization or city was incorporated
9. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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
10. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time on which a piece or class of equipment entered operational service, start time

[Assistant]
Based on the search results, the property `wdt:P571` (inception) seems to be the most appropriate for finding the establishment date of the universities.

Now, I will construct a SPARQL query to retrieve the establishment dates for both the University of Oxford and the University of Cambridge and compare them to determine which one was established earlier.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant]
It appears there was an issue with the SERVICE request to `wikibase:label`. Since we don't need to rely on this service and can directly fetch labels using `rdfs:label`, I will adjust the query accordingly to avoid this issue and ensure it only retrieves the necessary information.

Let's try the adjusted query:

```sparql
SELECT ?university ?date WHERE {
  VALUES (?university) {(wd:Q34433) (wd:Q35794)}
  ?university wdt:P571 ?date .
  OPTIONAL { ?university rdfs:label ?universityLabel FILTER(LANG(?universityLabel) = "en") }
}
```

This query will fetch the establishment dates for both universities and include their labels if available, but it won't fail due to the label service issue.

Let's execute this query now.

[Tool]
Got 2 rows and 2 columns:
| ?university                         | ?date                |
| ----------------------------------- | -------------------- |
| University of Oxford (wd:Q34433)    | 1096-01-01T00:00:00Z |
| University of Cambridge (wd:Q35794) | 1209-01-01T00:00:00Z |

[Assistant]
The SPARQL query returned the establishment dates for both universities:
- University of Oxford (wd:Q34433): 1096-01-01
- University of Cambridge (wd:Q35794): 1209-01-01

Based on these dates, the University of Oxford was established earlier than the University of Cambridge.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?movement WHERE {
  wd:Q117012 wdt:P135 ?movement .
  OPTIONAL {
    ?movement rdfs:label ?label
  }
  .
  FILTER ( LANG( ?label ) = 'en' )
}

Yoko Ono was part of the Fluxus art movement.

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

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

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

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

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

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

[Assistant]
To answer the question about which art movement Yoko Ono was part of, I first need to identify her entity in the Wikidata knowledge graph. Then, I'll look for properties that might indicate her involvement in an art movement.

Let's start by searching for Yoko Ono in Wikidata.

[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 correct entity for Yoko Ono is `wd:Q117012`. Now, I need to find out which property might link her to an art movement. A common property for such relationships could be `instance of` (P31) or `movement` (P135). Let me check these properties for Yoko Ono.

I will first list some triples for Yoko Ono to see if there are any relevant properties indicating her involvement in an art movement.

[Tool]
Got 1,185 rows and 3 columns, showing the first 10 rows below:
| subject               | property                         | object                                                                            |
| --------------------- | -------------------------------- | --------------------------------------------------------------------------------- |
| Yoko Ono (wd:Q117012) | instance of (wdt:P31)            | human (wd:Q5)                                                                     |
| Yoko Ono (wd:Q117012) | catalog code (wdt:P528)          | 331                                                                               |
| Yoko Ono (wd:Q117012) | occupation (wdt:P106)            | composer (wd:Q36834)                                                              |
| Yoko Ono (wd:Q117012) | sex or gender (wdt:P21)          | female (wd:Q6581072)                                                              |
| Yoko Ono (wd:Q117012) | given name (wdt:P735)            | Yōko (wd:Q3313340)                                                                |
| Yoko Ono (wd:Q117012) | date of birth (wdt:P569)         | 1933-02-18T00:00:00Z                                                              |
| Yoko Ono (wd:Q117012) | Commons category (wdt:P373)      | Yoko Ono                                                                          |
| Yoko Ono (wd:Q117012) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Yoko%20Ono%202011%20SXSW.jpg> |
| Yoko Ono (wd:Q117012) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                            |
| Yoko Ono (wd:Q117012) | family name (wdt:P734)           | Ono (wd:Q19797955)                                                                |
| ...                   | ...                              | ...                                                                               |

[Assistant]
From the listed triples, there isn't a direct property linking Yoko Ono to an art movement. However, the property `occupation (wdt:P106)` indicates she is a composer, which suggests she might be associated with a specific art movement through another property. The property `movement (wdt:P135)` seems like a good candidate to explore further.

Next, I will search for the `movement (wdt:P135)` property to confirm it is the right one to use for finding the art movement Yoko Ono was part of.

[Tool]
Top 10 property alternatives:
1. expression, gesture or body pose, also known as action, expression, facial expression, gesture, movement (wd:P6022 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): qualifier on "depicts" (P180) for human position of an individual in an artwork
2. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
3. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): the number of parts that a work comprises
4. means of locomotion, also known as locomotion, means of transport, locomotion method (wd:P3512 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): method that the subject uses to move from one place to another
5. gait (wd:P2839 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): means of locomotion, gait of an animal
6. predicate for, also known as action, verb for, verb phrase for (wd:P9970 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): action that is described by this verb/predicate
7. moved by (wd:P6939 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): a person who moves a motion as parliamentary procedure
8. muscle action (wd:P3310 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): action a muscle engages in
9. speed, also known as velocity (wd:P2052 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): magnitude of the velocity of the item
10. floruit, also known as work period, living, known alive in, flourished, fl. (wd:P1317 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date when the person was known to be active or alive, when birth or death not documented

[Assistant]
The second property alternative, `movement (wdt:P135)`, is the correct one to use for finding the art movement Yoko Ono was part of. It is described as a "literary, artistic, scientific or philosophical movement or scene this person or work is associated with."

Now, I will construct a SPARQL query to find the art movement Yoko Ono was part of using the `wdt:P135` property.

[Tool]
Got 1 row and 1 column:
| ?movement           |
| ------------------- |
| Fluxus (wd:Q108908) |

[Assistant] The SPARQL query returned that Yoko Ono was part of the Fluxus art movement (`wd:Q108908`). Now, I will provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?date WHERE {
  wd:Q19798744 wdt:P577 | wdt:P580 ?date .
}

December 16, 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 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 did The OA was first released?

[Assistant]
To answer the question about when "The OA" was first released, I need to identify the entity for "The OA" and then find the property that represents the release date of a TV series.

First, I will search for the entity representing "The OA".

[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 correct entity for "The OA" is `wd:Q19798744`, which refers to the 2016 American mystery drama television series.

Next, I need to find the property that represents the release date of a TV series. I will search for properties related to the release date.

[Tool]
Top 10 property alternatives:
1. date of commercialization, also known as availability date, commercialization date, product release date, release date (wd:P5204 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date when a product was first commercialized
2. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time when a work was first published or released, point in time
3. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): time of the first public presentation of a subject by the creator, of information by the media, point in time
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
5. day of regular release (wd:P6437 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): day(s) when parts of this creative work are released, aired, published, etc
6. service entry, also known as commissioned, time of service entry, service introduction, launch date, in service (wd:P729 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time on which a piece or class of equipment entered operational service, start time
7. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date or point in time a place, organization, or event officially opened, start time, inception
8. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): date of spacecraft launch in UTC
9. production date, also known as date of production, filming date, filming time, production date, year of production (wd:P2754 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): period of active production of (creative) work; the only date st... publication date (P577); in general cases, use inception (P571)
10. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): geographical place of publication of the edition (use 1st edition when referring to works), significant place

[Assistant]
The property `wdt:P577` (publication date) seems to be the most appropriate for finding the release date of a TV series.

Now, I will construct a SPARQL query to retrieve the release date of "The OA" using the identified entity and property.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the direct query for the release date using `wdt:P577` did not return any results. This might be because the property is not directly associated with the TV series entity. Instead, it's possible that the release date is linked to a specific season or episode of the series.

I will modify the query to look for the release date of the first season of "The OA". Typically, the first season would have the earliest release date, which would correspond to the overall release date of the series.

Let's try this new approach.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results even when searching for the release date of the first season. This suggests that the data structure might be different or the properties used might not be correctly capturing the release date information.

I will simplify the query and try to find the release date directly associated with the TV series entity `wd:Q19798744`. I'll also include a check for the property `wdt:P580` (start time) which might be used to indicate the beginning of the series.

Let's try this simplified query:

```sparql
SELECT ?date WHERE {
  wd:Q19798744 wdt:P577|wdt:P580 ?date .
}
```

This query will check both `wdt:P577` (publication date) and `wdt:P580` (start time) for the release date of "The OA".

[Tool]
Got 1 row and 1 column:
| ?date                |
| -------------------- |
| 2016-12-16T00:00:00Z |

[Assistant]
The query returned the release date of "The OA" as December 16, 2016.

Therefore, the answer to the question "When did The OA first release?" is December 16, 2016.

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

[Tool] Stopped generation process


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

Got 1 row and 1 column:
| ?count |
| ------ |
| 2      |

Iran has had 2 distinct heads 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 https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant] To answer this question, I need to identify the entity representing Iran and the property that denotes the heads of state. Let's start by searching for the entity representing 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 first result, `wd:Q794`, represents the country Iran. Next, I need to find the property that denotes the heads of state. I'll search for properties related to "head of state".

[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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): senior official in an educational institution., director / manager, chairperson
6. chairperson, also known as dean, headed by, leader, president, chairwoman (wd:P488 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): 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 pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): persons who hold and/or held the position
10. country, also known as sovereign state, state, land, host country (wd:P17 as pr/prn/pq/prv/pqv/p/psn/ps/wdt/wdtn/pqn/psv): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

[Assistant] The second result, `wdt:P35`, seems to be the appropriate property for denoting the head of state. Now, I will construct a SPARQL query to count the number of heads of state for Iran (`wd:Q794`).

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

[Assistant]
The SPARQL query returned a count of 1, indicating that Iran currently has 1 head of state listed in Wikidata.

However, this might not give us the full picture since it only counts the current head of state. To get a more comprehensive answer, we should consider historical heads of state as well. We can achieve this by querying for all past and present heads of state.

Let's modify the query to include all instances where `wd:Q794` (Iran) has had a head of state, regardless of the time period.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 2      |

[Assistant]
The modified SPARQL query returned a count of 2, indicating that Iran has had 2 distinct heads of state listed in Wikidata, including both past and present.

Now, I can provide the final answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?country ) AS ?count ) WHERE {
  wd:Q3233785 wdt:P17 ?country .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 14     |

Pysanka is practiced in 14 countries.

[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] In how many countries is pysanka practiced?

[Assistant]
To answer the question, I first need to identify the entity "pysanka" in the knowledge graph. After finding the correct entity, I will look for the property that links it to the countries where it is practiced. Finally, I will count the number of distinct countries associated with this entity through the identified property.

Let's start by searching for the entity "pysanka".

[Tool]
Top 10 entity alternatives:
1. pysanka, also known as pisanica, pisanka (wd:Q3233785): egg decorating tradition in Slavic countries
2. Pysanka (wd:Q12140613)
3. Pysanka Museum (wd:Q746631): museum in Kolomyia, Ukraine
4. Ruslana Pysanka, also known as Ruslana Pysanko (wd:Q2506290): Ukrainian actress (1965–2022), television presenter, weather presenter, film actor, presenter, actor
5. Vegreville egg, also known as Vegreville Pysanka (wd:Q7918394): sculpture by Paul Maxum Sembaliuk
6. Hutsul pysanka (wd:Q116733019): Traditional hutsul painted Eastern egg
7. pysankar (wd:Q50333861): Ukrainian ethnic occupation, artists that produces pysanka
8. FORMATION OF PRESCHOOLERS’ AWARE...SANKA PAINTING REGIONAL FEATURES (wd:Q113694374): scientific article published in 2022

[Assistant] The entity "pysanka" refers to the egg decorating tradition in Slavic countries (wd:Q3233785). Now, I need to find the property that connects this tradition to the countries where it is practiced. I will search for properties related to "countries" or "practice" for the entity "pysanka".

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as p/wdt): (main or final) manufacturer or producer of this product
3. UNESCO ICH ID, also known as UNESCO ICH Lists ID, UNESCO ICH Lists identifier, UNESCO Intangible Cultural Heritage ID, UNESCO Intangible Cultural Heritage identifier, UNESCO Intangible Cultural Heritage Lists ID (wd:P10221 as wdt/p): identifier of an item on the UNESCO Intangible Cultural Heritage Lists
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
6. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
7. on focus list of Wikimedia project, also known as WikiProject, Wikimedia project focus list, part of Wikimedia project, item created or edited for Wikimedia project, item created or edited as part of Wikimedia project (wd:P5008 as wdt/p): property to indicate that an item is of particular interest for ... they are not notable for Wikidata. See also P6104, P972, P2354.
8. 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
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)

No other items found

[Assistant]
None of the properties listed directly relate to the countries where pysanka is practiced. However, the property "country" (wd:P17) seems like a reasonable candidate to explore further. I will check if there are any countries associated with the entity "pysanka" using this property.

I will now construct a SPARQL query to find the countries where pysanka is practiced.

[Tool]
Got 14 rows and 1 column, showing the first 5 and last 5 rows below:
| ?country                         |
| -------------------------------- |
| Kosovo (wd:Q1246)                |
| Belarus (wd:Q184)                |
| Ukraine (wd:Q212)                |
| Czech Republic (wd:Q213)         |
| Slovakia (wd:Q214)               |
| ...                              |
| Croatia (wd:Q224)                |
| Bosnia and Herzegovina (wd:Q225) |
| Montenegro (wd:Q236)             |
| Poland (wd:Q36)                  |
| Serbia (wd:Q403)                 |

[Assistant]
The SPARQL query returned 14 distinct countries where pysanka is practiced. To provide a precise answer, I will modify the query to count these countries.

Now, I will construct a new SPARQL query to count the number of distinct countries where pysanka is practiced.

[Tool] Stopped generation process