PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?holiday ) AS ?numHolidays ) WHERE {
  ?holiday wdt:P31 wd:Q1197685 ; wdt:P1001 wd:Q980 .
}

Got 1 row and 1 column:
| numHolidays |
| ----------- |
| 0 (xsd:int) |

Wikidata does not explicitly model the set of public holidays for each German state, including Bavaria, in a way that allows us to count them directly with a SPARQL query. There are no direct links between Bavaria and its public holidays, nor are there public holiday entities with qualifiers or properties indicating they are observed in Bavaria. Therefore, it is not possible to answer the question with a SPARQL query based on the current data structure.

[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 public holidays does the state Bavaria have in a year?

[Assistant]
Let's break down the question:

1. The user wants to know the number of public holidays in Bavaria (a state in Germany) per year.
2. We need to identify:
   - The entity for Bavaria.
   - The property for "public holiday".
   - The relationship between Bavaria and its public holidays.

First, let's search for the entity "Bavaria" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Bavaria, also known as Bayern, Free State of Bavaria, Freistaat Bayern, Freistoot Bayern (wd:Q980): federated state in the south of Germany
2. Kingdom of Bavaria, also known as Bavaria, Kinereich Baiern, Kinereich Bayern, Königreich Baiern, Königreich Bayern (wd:Q154195): kingdom in Central Europe between 1806 and 1918, from January 1871 part of the German Empire
3. Electorate of Bavaria, also known as Bavaria (wd:Q256961): state in the Holy Roman Empire
4. 301 Bavaria, also known as (301) Bavaria, Bavaria (wd:Q150590): main-belt asteroid
5. Bavaria, also known as Bavaria statue (wd:Q707669): Statue of Bavaria in Munich, Germany
6. Bavaria (wd:Q874953): former train on the Trans-Europ-Express connection Zurich-Munich
7. Bavaria, also known as Bavaria, Kansas, Bavaria, KS (wd:Q4873636): unincorporated community in Kansas, USA
8. Bavaria Brewery, also known as Bavaria S.A., Bavaria (wd:Q2946947): Colombian brewery company
9. Bavaria Fluggesellschaft, also known as Bavaria (wd:Q811995): former German airline
10. Bavaria (wd:Q117323380): female figure symbolising Bavaria

[Assistant]
The correct entity for the state of Bavaria in Germany is wd:Q980.

Next, we need to identify the property that links a region (like Bavaria) to its public holidays. Let's search for properties related to "public holiday".

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
2. closed on, also known as closed days, days not open, except (wd:P3026 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): exceptions to open days (P3025), usually special dates
3. open days, also known as open on days, days open, opening days (wd:P3025 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): days in the week subject item is open within the opening season
4. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): when a specific holiday or periodic event occurs. Can be used as property or qualifier
5. day of week, also known as day of the week, days of week (wd:P2894 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): day of the week on which this item occurs, applies to or is valid
6. date of official closure, also known as closed, official closure, date of closure, closure date, closing date (wd:P3999 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date of official closure of a building or event, end time
7. set during recurring event, also known as narrative event, narrative holiday, set during event, set during holiday (wd:P9215 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): recurring event (e.g. season, month, holiday) during which this fictional work is set
8. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): time when an establishment or attraction opens, qualifier for P3025
9. 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
10. created for, also known as cause of creation, commissioned for, made for, occasion, on the occasion of (wd:P9883 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): a work, event, etc. for which the subject work was created (e.g.... play was created for; a film that a screenplay was written for)

[Assistant]
The most relevant property is "public holiday" (wd:P832), which links a place to its official public holidays.

Now, let's check how this property is used for Bavaria (wd:Q980). We'll list triples where Bavaria is the subject and wd:P832 is the property.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct triples linking Bavaria (wd:Q980) to its public holidays using the "public holiday" property (wd:P832). This suggests that public holidays may not be directly attached to the state entity, or the data might be structured differently.

Let's try another approach:
- Public holidays might be entities themselves, with qualifiers or statements indicating in which region (like Bavaria) they are observed.
- Let's search for public holidays in Germany and see if any of them specify Bavaria as a region where they are observed.

First, let's search for entities related to "public holiday in Bavaria".

[Tool]
Top 10 entity alternatives:
1. public holiday, also known as legal holiday, national holiday, state holiday, statutory holiday (wd:Q1197685): holiday generally established by law, usually a non-working day for most people
2. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832): official public holiday that occurs in this place in its honor, usually a non-working day
3. public holiday (wd:L1403245-S1)
4. public holiday peace (wd:Q19374081): noise restrictions on public holidays
5. March Public Holiday, also known as Adelaide Cup Day (wd:Q111646483): public holiday in South Australia
6. public holiday in Japan (wd:Q1195354): holiday designated by law in Japan
7. public holidays in Slovakia, also known as public holidays of Slovakia, Slovak public holidays (wd:Q1401559)
8. public holidays in the Philippines, also known as public holidays (Philippines) (wd:Q838447): overview of public holidays in the Philippines
9. public holidays in the GDR, also known as public holidays (East Germany), public holidays (GDR), public holidays in East Germany (wd:Q897143): overview of public holidays in the GDR
10. public holiday in Tunisia (wd:Q3092938): Wikimedia list article

[Assistant]
There is no specific entity for "public holiday in Bavaria," but the general entity for "public holiday" (wd:Q1197685) exists. It is possible that individual public holiday entities have statements about where they are observed.

Let's search for properties of the "public holiday" entity related to "region" or "applies to" to see if holidays are linked to Bavaria as a region.

[Tool]
Top 10 property alternatives:
1. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
2. 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
3. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt): main Wikidata property for this item
6. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
7. Wolfram Language entity code, also known as WL entity code, Wolfram entity code, WL entity (wd:P4839 as p/wdt): input form for an entity in Wolfram Language
8. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as p/wdt): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
9. IPTC NewsCode, also known as NewsCode (wd:P5429 as wdt/p/wdtn): NewsCode for an item, as defined by the International Press Telecommunications Council (IPTC)
10. Encyclopedia of Korean Culture ID, also known as encykorea ID (wd:P9475 as p/wdt): identifier for an article in the Encyclopedia of Korean Culture

No other items found

[Assistant]
No property directly related to "region" or "applies to" is listed for the "public holiday" entity. However, it's common in Wikidata for individual holiday entities to have a property indicating the location or region where they are observed.

Let's search for properties related to "location" or "applies to" that might be used on public holiday entities.

[Tool]
Top 10 property alternatives:
1. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
2. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
3. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
4. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): part, aspect, or form of the item to which the claim applies
6. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): (list of) direct subdivisions of an administrative territorial entity, has part(s)
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): place where a statement is valid, applies to part
8. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
9. official number of town quarter, also known as Chak number, district number, region number, village number (wd:P5901 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): official number for the administrative division or section, region or part of a town
10. 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

[Assistant]
The property "applies to jurisdiction" (wd:P1001) is the most relevant for indicating where a public holiday is observed.

Let's search for public holidays (wd:Q1197685) that apply to the jurisdiction of Bavaria (wd:Q980). We'll look for entities that are instances of public holiday and have "applies to jurisdiction" Bavaria.

[Tool] Got no rows and 1 columns

[Assistant]
There are no entities that are instances of "public holiday" (wd:Q1197685) and have "applies to jurisdiction" (wd:P1001) Bavaria (wd:Q980) directly. This suggests that public holidays in Bavaria may not be modeled this way in Wikidata.

Let's try a broader approach: Instead of looking for holidays that are instances of "public holiday," let's look for any entities that have "applies to jurisdiction" Bavaria and see if any of them are holidays. This might help us find the correct modeling pattern.

[Tool]
Got 3,266 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property                            | object            |
| ------------------------------------------- | ----------------------------------- | ----------------- |
| flag of Bavaria (wd:Q707471)                | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| Bayernhymne (wd:Q256615)                    | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| Landtag of Bavaria (wd:Q641439)             | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| coat of arms of Bavaria (wd:Q663063)        | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| 2018 Bavarian state election (wd:Q19833920) | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| Greater district town (wd:Q448801)          | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| Lex Baiuvariorum (wd:Q259353)               | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| 2013 Bavarian state election (wd:Q1250713)  | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| 2008 Bavarian state election (wd:Q258560)   | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| 2023 Bavarian state election (wd:Q60540258) | applies to jurisdiction (wdt:P1001) | Bavaria (wd:Q980) |
| ...                                         | ...                                 | ...               |

[Assistant]
The entities with "applies to jurisdiction" Bavaria include flags, hymns, elections, etc., but not obviously public holidays. This suggests that public holidays in Bavaria may not be directly modeled with this property either.

Let's try searching for public holidays in Germany, and see if they have qualifiers or statements indicating which states they apply to. We'll search for entities that are subclasses of "public holiday in Germany" or similar, and see if they have any regional qualifiers.

First, let's search for an entity like "public holiday in Germany".

[Tool]
Top 10 entity alternatives:
1. public holidays in Germany (wd:Q649352): Wikimedia list article
2. public holidays in the GDR, also known as public holidays (East Germany), public holidays (GDR), public holidays in East Germany (wd:Q897143): overview of public holidays in the GDR
3. public holiday in Japan (wd:Q1195354): holiday designated by law in Japan
4. public holiday in Tunisia (wd:Q3092938): Wikimedia list article
5. publication industry in Germany (wd:Q17157742)
6. public housing in Germany (wd:Q110887172)
7. Public Libraries in Germany (wd:Q60266636): scientific article published in Nature
8. Public health in Germany (wd:Q71660067): scientific article published on 01 January 1994
9. PUBLIC HEALTH IN GERMANY (wd:Q81205572): scientific article published on 01 July 1942
10. Public Television in Germany (wd:Q60256230): scientific article published in Nature

[Assistant]
The entity "public holidays in Germany" (wd:Q649352) is a Wikimedia list article, which may be used as a collection or reference for public holidays in Germany.

Let's check if there are any entities that are part of this list and if they have statements about being observed in Bavaria. We'll look for items that are "part of" (P361) "public holidays in Germany" and see if they have any qualifiers or properties indicating Bavaria.

[Tool] Got no rows and 3 columns

[Assistant]
There are no entities directly linked as "part of" (P361) the "public holidays in Germany" (wd:Q649352) list article. This suggests that the data about public holidays in German states like Bavaria is not structured in a straightforward way in Wikidata.

Let's try a different approach: Let's search for entities that are instances of "public holiday" and see if any of them have statements about being observed in Bavaria, possibly using properties like "location" (P276), "applies to jurisdiction" (P1001), or "located in the administrative territorial entity" (P131).

We'll search for public holidays in Germany and see if any are linked to Bavaria.

[Tool]
Got 2 rows and 1 column:
| holiday                       |
| ----------------------------- |
| wd:Q114028189                 |
| German Unity Day (wd:Q157582) |

[Assistant]
We found two public holidays that are instances of "public holiday" (wd:Q1197685) and are located in Germany (wd:Q183):
- wd:Q114028189
- German Unity Day (wd:Q157582)

Let's check if these holidays have any qualifiers or statements about being observed in Bavaria (wd:Q980), or if there are other holidays with such statements. Let's inspect the properties of German Unity Day.

[Tool]
Got 329 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | ------------------------------------------------------------------------------------------- |
| German Unity Day (wd:Q157582) | instance of (wdt:P31)            | national day (wd:Q57598)                                                                    |
| German Unity Day (wd:Q157582) | country (wdt:P17)                | Germany (wd:Q183)                                                                           |
| German Unity Day (wd:Q157582) | Commons category (wdt:P373)      | German Unity Day                                                                            |
| German Unity Day (wd:Q157582) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/3-Oktober.jpg>                          |
| German Unity Day (wd:Q157582) | native label (wdt:P1705)         | Tag der Deutschen Einheit (de)                                                              |
| German Unity Day (wd:Q157582) | topic's main category (wdt:P910) | wd:Q55268242                                                                                |
| German Unity Day (wd:Q157582) | named after (wdt:P138)           | German reunification (wd:Q56039)                                                            |
| German Unity Day (wd:Q157582) | pronunciation audio (wdt:P443)   | <http://commons.wikimedia.org/wiki/Special:FilePath/De-Tag%20der%20Deutschen%20Einheit.ogg> |
| German Unity Day (wd:Q157582) | replaces (wdt:P1365)             | wd:Q114028189                                                                               |
| German Unity Day (wd:Q157582) | Commons gallery (wdt:P935)       | German Unity Day                                                                            |
| ...                           | ...                              | ...                                                                                |

[Assistant]
German Unity Day (wd:Q157582) is marked as a national day for Germany, but there is no direct property indicating it is specifically observed in Bavaria. This is expected, as it is a national holiday.

Given the structure so far, it appears that Wikidata does not explicitly model the set of public holidays for each German state, including Bavaria, in a way that allows us to count them directly with a SPARQL query.

Therefore, I am unable to provide a satisfactory SPARQL query that answers the question "How many public holidays does the state Bavaria have in a year?" based on the current structure of Wikidata. If you would like, I can provide my best attempt at a query, but it would not yield a complete or accurate answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The explanation is correct: Wikidata does not currently model public holidays per German state in a way that allows for a direct count via SPARQL. The attempted query is logical, but the lack of data linking public holidays to Bavaria means the result is 0. The system correctly identified the data limitation and explained it clearly. No further refinement is possible given the current knowledge graph structure.


PREFIX geof: <http://www.opengis.net/def/function/geosparql/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  ?place wdt:P17 wd:Q39 ; wdt:P625 ?coord .
  FILTER ( geof:latitude ( ?coord ) > 47.8 )
}

Yes, Switzerland has at least one place north of the point (8.57, 47.8).

[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] Does Switzerland have a place north of the Point (8.57 47.8)?

[Assistant]
Let's break down the question:

- The user wants to know if Switzerland has any place north of a specific geographic point (longitude 8.57, latitude 47.8).
- This is a True/False (ASK) question.
- We need to:
  1. Identify the entity for Switzerland.
  2. Find places (likely instances of "human settlement" or similar) that are located in Switzerland.
  3. Check if any of these places have a latitude greater than 47.8 (i.e., north of the given point).

First, let's search for the entity "Switzerland" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Switzerland, also known as Confoederatio Helvetica, Swiss, Swiss Confederation (wd:Q39): country in Central Europe
2. Old Swiss Confederacy, also known as Swiss Confederation, Switzerland (wd:Q435583): confederation of cantons (1291-1798)
3. Old Swiss Confederacy, also known as Swiss Confederation, Switzerland (wd:Q435583): confederation of cantons (1291-1798)
4. Switzerland at the 1900 Summer Olympics, also known as Switzerland (wd:Q141744): sporting event delegation
5. federation of eight cantons, also known as Confederacy of eight cantons, Switzerland, Swiss Confederation, federation of 8 cantons, Old Swiss Confederacy (wd:Q340787)
6. Federation of thirteen cantons, also known as Federation of 13 cantons, Swiss Confederacy, Swiss Confederation, Switzerland (wd:Q351537)
7. Switzerland, also known as Switzerland, SC (wd:Q2373348): community in South Carolina, USA
8. Switzerland (wd:Q80282): community in Florida, United States
9. Switzerland in the Eurovision Song Contest 2006, also known as Switzerland (wd:Q7659174)
10. Switzerland (wd:Q420049): album by rock band Electric Six

[Assistant]
The correct entity for Switzerland (the country) is wd:Q39.

Next, we need to find places located in Switzerland and check if any have a latitude greater than 47.8. To do this, we need to:
- Identify the property for "located in the country" (likely P17).
- Identify the property for latitude (likely P625 for coordinates or P625/P625[1] for latitude specifically).

Let's confirm the property for "located in the country" by searching for it.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): place where a statement is valid, applies to part
2. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
3. 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
4. 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
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): most specific known birth location of a person, animal or fictional character, location
7. continent (wd:P30 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): continent of which the subject is a part, located in/on physical feature
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. 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
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant]
The property "country" (wd:P17) is the correct one for "located in the country".

Now, let's confirm the property for latitude. Usually, coordinates are stored with P625, but latitude may also be stored separately. Let's search for "latitude" property to be sure.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. continent (wd:P30 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): continent of which the subject is a part, located in/on physical feature
3. galactic latitude (wd:P6261 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): galactic latitude of an astronomical object
4. located in time zone, also known as TZ, time zone, timezone (wd:P421 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): time zone for this item
5. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): links coordinate zoological names, different from
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location
8. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
9. direction relative to location, also known as cardinal direction from subject to target (wd:P654 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier for geographical locations to express relative cardinal direction from the subject location to a target location, criterion used, direction
10. heading, also known as view direction, yaw, direction from the viewpoint, camera's heading, azimuth (wd:P7787 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): direction of an object or structure (eg. building) or direction ...e angle from the North, given in degrees, radians or other units

[Assistant]
The property "coordinate location" (wd:P625) is used for geocoordinates, which include latitude and longitude.

To extract latitude from the coordinate location, we can use the Wikidata-specific function `wikibase:geoLatitude`.

Now, to answer the question, we need to:
- Find any item with:
  - wdt:P17 wd:Q39 (located in Switzerland)
  - wdt:P625 (coordinate location)
  - latitude (from P625) > 47.8

Let's write an ASK query to check if such an item exists.

[Tool] True

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct for the question. It uses an ASK query to check if there exists any place (?place) in Switzerland (wd:Q39) with a coordinate (wdt:P625) whose latitude is greater than 47.8, which is north of the given point. The use of geof:latitude is appropriate for extracting the latitude from the coordinate. The answer and explanation are accurate and complete. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person ?netWorth ?label WHERE {
  ?person wdt:P106 wd:Q131524 ; wdt:P2218 ?netWorth .
  OPTIONAL {
    ?person rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}
ORDER BY DESC ( ?netWorth )
LIMIT 1

The most wealthy entrepreneur is Elon Musk (wd:Q317521), with a net worth of 270,100,000,000.

[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] Who is the most wealthy entrepreneur?

[Assistant]
Let's break down the question:

1. We need to identify entities that are entrepreneurs.
2. We need to find their wealth (likely "net worth").
3. We need to determine which entrepreneur has the highest net worth.

First, I'll search for the entity "entrepreneur" in Wikidata to find the relevant class or occupation.

[Tool]
Top 10 entity alternatives:
1. entrepreneur, also known as undertaking (wd:Q131524): person who owns and operates a business
2. Entrepreneur (wd:Q5380740): business magazine for entrepreneurs
3. The Entrepreneur, also known as Entrepreneur (wd:Q3204987): 2011 film by Giuliano Montaldo
4. Entrepreneur (wd:Q30598698): 1997 video game
5. Entrepreneur (wd:Q5380739): British Thoroughbred racehorse
6. Entrepreneur (wd:Q98669462): 2020 single by Pharrell Williams featuring Jay-Z
7. Entrepreneur, also known as Yrittäjä (wd:Q104145164): 2018 film directed by Virpi Suutari
8. Darren Lopes, also known as Entrepreneur (wd:Q112113075): entrepreneur, Entrepreneur
9. Adil Sami, also known as Entrepreneur (wd:Q111692090): Entrepreneur, entrepreneur
10. Alee Club Miss & Mr Teen India, also known as Entrepreneur (wd:Q113526755): entrepreneur

[Assistant]
The most relevant entity for "entrepreneur" as an occupation or class is wd:Q131524 ("entrepreneur, also known as undertaking: person who owns and operates a business").

Next, I need to find the property for "net worth" to identify the wealth of entrepreneurs. I'll search for the property "net worth" in Wikidata.

[Tool]
Top 10 property alternatives:
1. net worth, also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets (wd:P2218 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): totality of wealth possessed by a person
2. net profit, also known as profit, net return, net income, clear profit, clear gain (wd:P2295 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): private entity profit after accounting for all costs
3. estimated value, also known as valuation, traded value, traded cap, price estimation, estimated worth (wd:P8340 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): estimated value of a house, company, patent, etc
4. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
5. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier to define a property constraint in combination with "property constraint" (P2302)
6. prize money, also known as money, purse, value (wd:P2121 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): amount in a specific currency
7. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): published price listed or paid for a product (use with unit of currency)
8. numeric value, also known as numerical value, value (wd:P1181 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): numerical value of a number, a mathematical constant, or a physical constant
9. total assets, also known as assets, balance sheet total (wd:P2403 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): value of assets held by a private or public entity
10. box office, also known as earnings (wd:P2142 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): box office takings accumulated by a film, total revenue

[Assistant]
The property for "net worth" is wd:P2218.

Now, I need to find people who are entrepreneurs (occupation wd:Q131524) and have a net worth (wdt:P2218), then select the one with the highest net worth.

To do this, I should also confirm the property for "occupation" to ensure correct filtering. I'll search for the property "occupation" to verify.

[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, I will construct a SPARQL query to:
- Find people (?person) whose occupation (wdt:P106) is entrepreneur (wd:Q131524)
- Retrieve their net worth (wdt:P2218)
- Order by net worth descending and limit to the top result (the most wealthy entrepreneur)
- Optionally, retrieve their label for readability

Let's build and execute this query.

[Tool]
Got 1 row and 3 columns:
| person                 | netWorth                   | label          |
| ---------------------- | -------------------------- | -------------- |
| Elon Musk (wd:Q317521) | 270100000000 (xsd:decimal) | Elon Musk (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the most wealthy entrepreneur by selecting individuals with the occupation 'entrepreneur' (wd:Q131524) and retrieving their net worth (wd:P2218). It orders the results in descending order of net worth and limits the output to the top result. The query also optionally retrieves the English label for the person. The answer provided matches the query result, and all SPARQL best practices are followed. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q283 wdt:P462 wd:Q1396399
}

True. Water is colorless 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] Is water colorless?

[Assistant]
Let's break down the question:

1. The user is asking if water is colorless. This is a "True" or "False" type question about a property (color) of an entity (water).
2. I need to identify the entity for "water" and the property for "colorless" or "color".

Step 1: Find the entity for "water".

[Tool]
Top 10 entity alternatives:
1. water, also known as dihydrogen oxide, hydrogen hydroxide, dihydrogen monoxide, hydrogen oxide, oxidane (wd:Q283): chemical compound whose molecules are formed by two hydrogen atoms and one oxygen atom
2. water, also known as dihydridooxygen, pure water, oxidane, hydrogen oxide, hydrogen hydroxide (wd:Q283): chemical compound whose molecules are formed by two hydrogen atoms and one oxygen atom
3. ice, also known as crystalline water, frozen ice, frozen water, solid water, water (wd:Q23392): water frozen into the solid state
4. drinking water, also known as drinkable water, improved drinking water, potable water, water (wd:Q7892): water safe for consumption
5. Water, also known as Water (2005), Water (2005 movie) (wd:Q617395): 2005 film by Deepa Mehta
6. water (wd:Q2637515): classical element in philosophy and cosmology
7. Water (wd:Q123169436): 2023 single by Tyla
8. ☵, also known as water, U+2635, TRIGRAM FOR WATER, kan3, k’an (wd:Q2785811): trigram for water (U+2635): kan3, kǎn, k’an
9. liquid water, also known as water (wd:Q29053744): form of water
10. Water, also known as Water (Elitsa & Stoyan song) (wd:Q2735297): song by Elitsa Todorova and Stoyan Yankoulov

[Assistant]
The main entity for "water" as a chemical compound is wd:Q283.

Step 2: Now, I need to find the property related to "color" or specifically "colorless". I'll search for properties related to "color" for the entity wd:Q283.

[Tool]
Top 10 property alternatives:
1. color, also known as with the colour, with the color, pigment, of the colour, of the color (wd:P462 as p/wdt): color of subject
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
5. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
6. 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
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. mass, also known as displacement, molecular mass, molecular weight, weight (wd:P2067 as p/wdt): mass (in colloquial usage also known as weight) of the item
10. name (image), also known as name as image, label image, label as image, image of name, image as label (wd:P7407 as p/wdt): name of something, when it's not fully supported by Unicode or contains characters that are not widely supported, icon

No other items found

[Tool]
Got 5 rows and 3 columns:
| subject         | property         | object                       |
| --------------- | ---------------- | ---------------------------- |
| water (wd:Q283) | color (wdt:P462) | green (wd:Q3133)             |
| water (wd:Q283) | color (wdt:P462) | white (wd:Q23444)            |
| water (wd:Q283) | color (wdt:P462) | turquoise (wd:Q5960345)      |
| water (wd:Q283) | color (wdt:P462) | color of water (wd:Q5148636) |
| water (wd:Q283) | color (wdt:P462) | colorless (wd:Q1396399)      |

[Tool]
Top 10 entity alternatives:
1. colorless, also known as achromatic, clear, colourless, no color, no colour (wd:Q1396399): having no color, either by transparency or by lack of pigment
2. Colorless (wd:Q97376188): feature film
3. Colorless (wd:Q11193532): album by Shela
4. COLORLESS (wd:Q112153744): Music by Daichi Miura
5. colorless, also known as colourless, see-through, transparent (wd:Q32848124): optical phenomenon
6. SRY-box transcription factor 10, also known as transcription factor SOX-10, SRY (sex determining region Y)-box 10, SRY-box containing gene 10, sox10b, sox10 (wd:Q29833078): protein found in Danio rerio
7. colorless (wd:L47519)
8. colorless (wd:L47519-F1)
9. black-and-white, also known as black and white, black and white art, black-and-white media, B/W, B&W (wd:Q838368): monochrome form in visual arts
10. Colorless Shiner, also known as Notropis perpallidus (wd:Q2247046): species of fish

[Assistant]
The property "color" (wdt:P462) for water (wd:Q283) includes "colorless" (wd:Q1396399) as one of its values, along with other colors like green, white, turquoise, and a specific "color of water".

Since the question is "Is water colorless?", and "colorless" is explicitly listed as a color for water, the answer is "True".

Now, I will construct an ASK query to check if water (wd:Q283) has color (wdt:P462) colorless (wd:Q1396399).

[Tool] Stopped generation process

[User]
Feedback (status=done):
The ASK query correctly checks whether water (wd:Q283) has the property 'color' (wdt:P462) with the value 'colorless' (wd:Q1396399) in Wikidata. The query returns a boolean value as required for a True/False question, and the answer is consistent with the data. The query also returns only the boolean result, as appropriate for an ASK query. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?label WHERE {
  wd:Q30 rdfs:label ?label FILTER ( lang( ?label ) = "tr" )
}

Got 1 row and 1 column:
| label                            |
| -------------------------------- |
| Amerika Birleşik Devletleri (tr) |

People from Turkey call the official name of the United States of America 'Amerika Birleşik Devletleri'.

[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 do people from Turkey call the official name of the united states of america?

[Assistant]
Let's break down the question:

1. We are looking for the official name of the United States of America as called by people from Turkey.
2. This likely refers to the Turkish language label or official name for the United States of America.
3. In Wikidata, the United States of America is an entity, and its official name in different languages can be found using properties like "official name" (P1448) or "label" in a specific language.

Step 1: Find the entity for the United States of America.
Step 2: Find the property for "official name".
Step 3: Retrieve the value of the "official name" property in Turkish.

Let's start by searching for the entity "United States of America".

[Tool]
Top 10 entity alternatives:
1. United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
2. Istadus Unidus the America, also known as United States of America (wd:Q29045433): Wikimedia permanent duplicate item
3. United States of America (wd:Q100270731): scholarly article
4. United States of America (wd:Q103971355): encyclopedic article; Grove Art Online
5. United States of America (wd:Q105870683): vocal track by Kikki Danielsson; 1980 studio recording
6. United States of America (wd:Q105870692): song written and composed by Donna Fargo, originally recorded by Donna Fargo and released in 1974
7. United States of America (wd:Q106315054): vocal track by Donna Fargo; 1974 studio recording
8. United States of America, also known as Star Trek USA, USA (wd:Q99281400): country of the United States of America as depicted in Star Trek
9. United States of America (wd:L350484-S1)
10. United States (of America) (wd:L399000-S1)

[Assistant]
The main entity for the United States of America as a country is wd:Q30.

Next, I need to find the property for "official name" and see if it has a Turkish value. The likely property is "official name" (P1448), but I will confirm this by searching for the property "official name".

[Tool]
Top 10 property alternatives:
1. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): label for the items in their official language  or their original language, name
2. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): official name of the subject in its official language(s), name
3. officialized by, also known as made official by, officialised by (wd:P5194 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the item which officialized this lexeme
4. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
5. official symbol, also known as symbol, state tartan, official tartan, floral emblem, official emblem (wd:P2238 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): official symbol of an organisation
6. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): informal name (for a pseudonym use P742), name
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
8. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): subject's official anthem
9. courtesy name, also known as courtesy name, style name, zi (wd:P1782 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): name bestowed upon a person at adulthood in addition to one's given name, mostly in East Asia, name
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

[Assistant]
The property "official name" is wd:P1448. Now, I need to check if the United States of America (wd:Q30) has an official name in Turkish using this property. In Wikidata, language-specific values are often stored as language-tagged literals.

I'll list the values of wd:P1448 for wd:Q30 to see if there is a Turkish value.

[Tool]
Got 1 row and 3 columns:
| subject                | property                  | object                            |
| ---------------------- | ------------------------- | --------------------------------- |
| United States (wd:Q30) | official name (wdt:P1448) | the United States of America (en) |

[Assistant]
The only value returned for the "official name" (wdt:P1448) of the United States (wd:Q30) is in English: "the United States of America (en)". This suggests that the direct "official name" property does not have a Turkish value in the simplified direct property table.

However, Wikidata often stores multilingual labels and aliases, and sometimes qualifiers or statements with language tags. To get the Turkish name, I should check the rdfs:label property for wd:Q30 in Turkish ("tr").

I will now query for the rdfs:label of wd:Q30 in Turkish.

[Tool]
Got 1 row and 1 column:
| label                            |
| -------------------------------- |
| Amerika Birleşik Devletleri (tr) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the Turkish label for the United States of America (wd:Q30) by filtering for the Turkish language (lang(?label) = "tr"). The answer matches the expected official name as used by people from Turkey. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?award ) AS ?count ) WHERE {
  wd:Q242643 wdt:P166 ?award .
  ?award ( wdt:P279 * | wdt:P31 ) wd:Q194285 .
}

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

Naomi Novik has won the Nebula Award (in any category) once.

[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 often did Naomi Novik win the nebula award?

[Assistant]
Let's break down the question:

1. Identify the entity for "Naomi Novik".
2. Identify the entity for "Nebula Award".
3. Find the property that links a person to an award they have won.
4. Count how many times Naomi Novik has won the Nebula Award.

Let's start by searching for the entity "Naomi Novik".

[Tool]
Top 10 entity alternatives:
1. Naomi Novik (wd:Q242643): science fiction writer, American writer, fantasy author, programmer, novelist, writer
2. Naomi (wd:Q2596433): Ruth's mother-in-law in the Book of Ruth
3. Naomi, also known as Trinity Starr, Trinity Fatu, Trinity, Nalgomi, Naomi Knight (wd:Q3119295): American professional wrestler, professional wrestler, celebrity, dancer, model
4. 6139 Naomi, also known as Naomi (wd:Q553669): asteroid
5. Naomi, also known as Naomi, PA, Naomi, Pennsylvania (wd:Q6964608): settlement in Pennsylvania, US
6. Naomi (wd:Q108444706): American television series
7. Novik (wd:Q1547078): 1911 Russian destroyer
8. Naomi, also known as Naomi (first name), Naomi (given name) (wd:Q18508449): female given name
9. Naomi (wd:Q6964620): novel by Junichiro Tanizaki
10. Naomi, also known as Florin Moldovan (wd:Q22957923): Romanian recording artist, songwriter and actress, songwriter, singer, actor

[Assistant]
The entity for "Naomi Novik" is wd:Q242643.

Next, let's search for the entity for "Nebula Award".

[Tool]
Top 10 entity alternatives:
1. Nebula Award (wd:Q194285): literature prize for science fiction and fantasy works from the United States
2. Xingyun Award, also known as Chinese Nebula Award, World Chinese Science Fiction Association (wd:Q10891657): Chinese literary award
3. Nebula Awards 22, also known as Nebula Award Showcase (wd:Q30078063): 1988 anthology edited by George Zebrowski
4. Nebula Awards Showcase, also known as Nebula Winners, Nebula Award Stories (wd:Q28419278): series of annual science fiction and fantasy anthologies
5. Nebula Anthologies, also known as Nebula Award anthologies (wd:Q81185197): anthologies of Nebula-winning short fiction, along with a select...nners-up, published roughly annually since the award's inception
6. Nebula Award Weekend (wd:Q130712827): science fiction convention
7. Nebula Awards Weekend (wd:Q6985281)
8. Nebula Awards 20 (wd:Q30078081): 1985 anthology edited by George Zebrowski
9. Nebula Awards 21 (wd:Q30078078): 1986 anthology edited by George Zebrowski
10. Nebula Awards 23 (wd:Q30078049): 1989 anthology edited by Michael Bishop

[Assistant]
The entity for "Nebula Award" is wd:Q194285.

Now, let's find the property that links a person to an award they have won. I'll search for properties related to "award received".

[Tool]
Top 10 property alternatives:
1. 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
2. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier of award received (P166) to specify the work that an award was given to the creator for
3. 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
4. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization who grants an award, certification, grant, or role
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): party that is eligible to receive something, like an award, grant or prize
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
9. nominee, also known as award nominee (wd:P2453 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): qualifier used with “nominated for” to specify which person or organization was nominated
10. awarded for period (wd:P4566 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property "award received" (wdt:P166) is used to link a person to an award they have won.

Now, let's check how many times Naomi Novik (wd:Q242643) has received the Nebula Award (wd:Q194285) using the property "award received" (wdt:P166). I'll construct a query to count the number of such awards.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool]
Got 8 rows and 3 columns:
| subject                  | property                  | object                                                        |
| ------------------------ | ------------------------- | ------------------------------------------------------------- |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Nebula Award for Best Novel (wd:Q266012)                      |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Astounding Award for Best New Writer (wd:Q958630)             |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Mythopoeic Awards (wd:Q243960)                                |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Geffen Award (wd:Q5530024)                                    |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Locus Award for Best Fantasy Novel (wd:Q607354)               |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Locus Award for Best First Novel (wd:Q2090893)                |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Compton Crook Award (wd:Q5157154)                             |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Robert Holdstock Award for Best Fantasy Novel (wd:Q130987259) |

[Tool]
Top 10 entity alternatives:
1. Nebula Award for Best Novel (wd:Q266012): science fiction and fantasy literary award
2. Nebula Award for Best Novella (wd:Q1086189): literary award
3. Nebula Award for Best Novelette (wd:Q936683): award for the best science fiction or fantasy fiction in the United States
4. Hugo Award for Best Novel, also known as Hugo Award for Best Novel or Novelette (wd:Q255032): literary award for science fiction or fantasy novels in English
5. Locus Award for Best Novel (wd:Q595998): literary award by the science fiction and fantasy magazine Locus; discontinued in 1979
6. Nebula Award for Best Script (wd:Q644077): award
7. BSFA Award for Best Novel, also known as Best Novel (wd:Q4836602): British science fiction literary award
8. Edgar Allan Poe Award for Best Novel, also known as Edgar Award for Best Novel (wd:Q113436830): annual literary award
9. Anthony Award for Best Novel (wd:Q572819): annual literary award
10. Aurora Award for Best Novel (wd:Q60544024)

[Assistant]
Naomi Novik received the "Nebula Award for Best Novel" (wd:Q266012), which is a specific category of the Nebula Awards. My previous count query only checked for the general Nebula Award (wd:Q194285), not its subcategories.

To answer the question accurately, I should count how many times Naomi Novik received any Nebula Award category, especially "Nebula Award for Best Novel". Let's check if there are other Nebula Award subcategories she received, and count them.

I'll search for all awards Naomi Novik received that are subclasses of the Nebula Award (wd:Q194285).

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Tool]
Got 1 row and 1 column:
| nebula                                   |
| ---------------------------------------- |
| Nebula Award for Best Novel (wd:Q266012) |

[Tool] Only two of subject, property, or object should be provided.

[Tool]
Got 8 rows and 3 columns:
| subject                  | property                  | object                                                        |
| ------------------------ | ------------------------- | ------------------------------------------------------------- |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Nebula Award for Best Novel (wd:Q266012)                      |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Astounding Award for Best New Writer (wd:Q958630)             |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Mythopoeic Awards (wd:Q243960)                                |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Geffen Award (wd:Q5530024)                                    |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Locus Award for Best Fantasy Novel (wd:Q607354)               |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Locus Award for Best First Novel (wd:Q2090893)                |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Compton Crook Award (wd:Q5157154)                             |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Robert Holdstock Award for Best Fantasy Novel (wd:Q130987259) |

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

[Tool] Got no rows and 1 columns

[Assistant]
Based on the data, Naomi Novik has won the "Nebula Award for Best Novel" (wd:Q266012) once. This is the only Nebula Award category she has received according to Wikidata.

Here is the final SPARQL query and answer:

```sparql
SELECT (COUNT(?award) AS ?count) WHERE {
  wd:Q242643 wdt:P166 ?award .
  FILTER(?award = wd:Q266012)
}
```

Answer: Naomi Novik has won the Nebula Award (specifically, the Nebula Award for Best Novel) once.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query only counts wins for the specific subaward 'Nebula Award for Best Novel' (wd:Q266012). However, the question asks about the 'Nebula Award' in general, not just the 'Best Novel' category. Naomi Novik could have won in other Nebula Award categories as well (e.g., Best Novella, Best Novelette, etc.). The query should be refined to count all Nebula Award wins, not just the Best Novel. This can be done by including all awards that are instances or subclasses of the Nebula Award (wd:Q38172), or by checking the award's hierarchy.

[Assistant]
Thank you for the feedback. You are correct: the previous query only counted wins for the "Nebula Award for Best Novel" (wd:Q266012), but the question asks about all Nebula Award wins, regardless of category.

To address this, I need to:
1. Identify all awards Naomi Novik has received that are subclasses (wdt:P279*) or instances (wdt:P31) of the general "Nebula Award" (wd:Q38172).
2. Count all such awards.

First, let's confirm the correct general entity for the Nebula Award. Previously, I used wd:Q194285, but the feedback suggests wd:Q38172. Let's check both to ensure accuracy.

[Tool]
Top 10 entity alternatives:
1. Nebula Award (wd:Q194285): literature prize for science fiction and fantasy works from the United States
2. Xingyun Award, also known as Chinese Nebula Award, World Chinese Science Fiction Association (wd:Q10891657): Chinese literary award
3. Nebula Awards 22, also known as Nebula Award Showcase (wd:Q30078063): 1988 anthology edited by George Zebrowski
4. Nebula Awards Showcase, also known as Nebula Winners, Nebula Award Stories (wd:Q28419278): series of annual science fiction and fantasy anthologies
5. Nebula Anthologies, also known as Nebula Award anthologies (wd:Q81185197): anthologies of Nebula-winning short fiction, along with a select...nners-up, published roughly annually since the award's inception
6. Nebula Award Weekend (wd:Q130712827): science fiction convention
7. Nebula Awards Weekend (wd:Q6985281)
8. Nebula Awards 20 (wd:Q30078081): 1985 anthology edited by George Zebrowski
9. Nebula Awards 21 (wd:Q30078078): 1986 anthology edited by George Zebrowski
10. Nebula Awards 23 (wd:Q30078049): 1989 anthology edited by Michael Bishop

[Assistant]
The main entity for the Nebula Award is wd:Q194285. There is no wd:Q38172 in the search results, so wd:Q194285 is correct.

Now, I will write a query that counts all awards Naomi Novik has received that are subclasses (wdt:P279*) or instances (wdt:P31) of the Nebula Award (wd:Q194285). This will ensure we include all Nebula Award categories.

Let's proceed with the refined query.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of times Naomi Novik (wd:Q242643) has received an award that is either an instance or subclass of the Nebula Award (wd:Q194285). The query returns the actual identifier in the WHERE clause and only counts the results in the SELECT, as appropriate for this question. The answer matches the query result. No further refinement is needed.