PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?type ( COUNT( DISTINCT ?org ) AS ?orgCount ) WHERE {
  ?org wdt:P131 wd:Q107356467 .
  ?org wdt:P31 ?type .
  ?type wdt:P279 * wd:Q43229 .
}
GROUP BY ?type
ORDER BY DESC ( ?orgCount )

Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| type                                                             | orgCount    |
| ---------------------------------------------------------------- | ----------- |
| legislative term (wd:Q15238777)                                  | 6 (xsd:int) |
| radio station (wd:Q14350)                                        | 2 (xsd:int) |
| public institution (wd:Q294163)                                  | 1 (xsd:int) |
| Franciscan province (O.F.M.) (wd:Q90511324)                      | 1 (xsd:int) |
| political party (wd:Q7278)                                       | 1 (xsd:int) |
| ...                                                              | ...         |
| province of a religious order (wd:Q2029182)                      | 1 (xsd:int) |
| Counties of the Balearic Islands and the Pitiüses (wd:Q20105287) | 1 (xsd:int) |
| labor union (wd:Q178790)                                         | 1 (xsd:int) |
| comarca of Spain (wd:Q1345234)                                   | 1 (xsd:int) |
| Balearic sports federation (wd:Q130416600)                       | 1 (xsd:int) |

The types of organizations located in the Balearic Islands, along with the count of distinct organizations for each type (ordered by count descending), include legislative term (6), radio station (2), public institution (1), Franciscan province (O.F.M.) (1), political party (1), province of a religious order (1), Counties of the Balearic Islands and the Pitiüses (1), labor union (1), comarca of Spain (1), and Balearic sports federation (1).

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

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

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

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

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

[User] What are the types of organizations located in the Balearic Islands, along with the count of distinct organizations for each type, ordered by the count in descending order?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Balearic Islands".
2. We need to find organizations located there.
3. For each organization, we need its type (e.g., company, educational institution, etc.).
4. We need to count the number of distinct organizations for each type.
5. The result should be ordered by the count in descending order.

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

[Tool]
Top 10 entity alternatives:
1. Balearic Islands, also known as Balearic Isles, Islas baleares (wd:Q5765): archipelago in the Mediterranean Sea
2. Balearic Islands (wd:Q4850673): Spanish Congress Electoral District
3. Balearic Islands (wd:Q107356469): province
4. Balearic Islands (wd:Q107356467): autonomous community of Spain
5. Balearic Islands (wd:Q107356470): region (1833–1982)
6. Balearic Islands (wd:Q103891547): encyclopedia article
7. flag of the Balearic Islands, also known as Balearic Islands flag, the Balearic Islands flag (wd:Q435103): flag of the Spanish autonomous community of the Balearic Islands
8. history of Balearic Islands, also known as Balearic Islands history (wd:Q11925943)
9. geography of the Balearic Islands, also known as the Balearic Islands geography, Balearic Islands geography (wd:Q11924065)
10. Balearic Islands Award (wd:Q11953178): Spanish soccer award

[Assistant]
The most relevant entity for the geographic region "Balearic Islands" is wd:Q5765 (archipelago in the Mediterranean Sea). However, there are also entities for the province (wd:Q107356469) and autonomous community (wd:Q107356467). For organizations, the autonomous community (wd:Q107356467) is likely the most appropriate, as organizations are typically located within administrative regions.

Next, let's find the property that links organizations to their location, such as "located in the administrative territorial entity".

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
2. 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): person or organization occupying property, used by
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. adjacent building, also known as next to, neighboring building, located next to, adjoining building (wd:P3032 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): building adjacent to the item, connects with
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
8. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the narrative of the work is set in this location, significant place, depicts
9. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

[Assistant]
The most relevant property is "located in the administrative territorial entity" (wd:P131). This will help us find organizations located in the Balearic Islands.

Next, we need to identify what property to use for the "type" of organization. In Wikidata, this is typically "instance of" (wd:P31) or "subclass of" (wd:P279). Let's confirm which property is best for getting the type of an organization.

[Tool]
Top 10 property alternatives:
1. class, also known as type (wd:P2308 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)
2. taxonomic type, also known as genotype, species typica, type, type genus, type species (wd:P427 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): type genus or species: [in zoology:] nominal genus or species th...t is the name-bearing type of this nominal species or subspecies
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. script style, also known as handwriting style, type style, style of writing, style of script (wd:P9302 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): style of script of a document or typeface
5. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
6. typing discipline, also known as typing, type system (wd:P7078 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): specifies the typing discipline implemented, used, or mandated in a programming language, manifestation of
7. Vox-ATypI classification, also known as font type, typeface variety (wd:P1878 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): classification for typefaces
8. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): generic character type that this fictional character represents, manifestation of
9. typeface/font used, also known as is sample of, typeface used, typeface, lettering, font used (wd:P2739 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): style of type used in a work
10. manner of, also known as imitator of, style of (wd:P1777 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): for unknown artists who worked in a similar style as the named author, but not necessary from the same period, significant person

[Assistant]
The property "instance of" (wd:P31) is the standard way to get the type of an entity in Wikidata. So, for each organization, we will retrieve its "instance of" value.

Now, we need to ensure we are only considering organizations. Let's check what property or class is used for organizations in Wikidata.

[Tool]
Top 10 entity alternatives:
1. organization, also known as organizations, organization in sociology, organisation, institution, organisations (wd:Q43229): social entity established to meet needs or pursue goals
2. .org, also known as dot-org, .organization, .org domain (wd:Q32131): generic top-level domain
3. The Organization, also known as Organization (wd:Q1986084): 1971 film by Don Medford
4. Organization (wd:Q105755428): Turkish intelligence series broadcast on TRT 1
5. Organization (wd:Q7101933): peer-reviewed academic journal
6. organization, also known as auxiliary organization (wd:Q4827314): secondary body of the Church of Jesus Christ of Latter-day Saints
7. Samaritans, also known as Organization (wd:Q2256668): Swiss first aid organization
8. Organization (wd:Q33771005): essay by Parke Godwin
9. organization, also known as organisation, organizing, to organize (wd:Q2029841): concept in economics: activity in which something is accomplished
10. organization (wd:Q2204053): Dutch form of government

[Assistant]
The main class for organizations in Wikidata is wd:Q43229 ("organization"). To ensure we only get organizations, we should filter for entities that are "instance of" (wd:P31) or "subclass of" (wd:P279) organization (wd:Q43229).

Now, let's put this together:
- Find all entities that are "instance of" some type (?type), where ?type is a subclass of "organization" (wd:Q43229).
- These entities must be "located in the administrative territorial entity" (wd:P131) the Balearic Islands (wd:Q107356467).
- For each type, count the number of distinct organizations.
- Order the result by count descending.

Let's write the SPARQL query accordingly.

[Tool]
Got 25 rows and 2 columns, showing the first 5 and last 5 rows below:
| type                                                             | orgCount    |
| ---------------------------------------------------------------- | ----------- |
| legislative term (wd:Q15238777)                                  | 6 (xsd:int) |
| radio station (wd:Q14350)                                        | 2 (xsd:int) |
| public institution (wd:Q294163)                                  | 1 (xsd:int) |
| Franciscan province (O.F.M.) (wd:Q90511324)                      | 1 (xsd:int) |
| political party (wd:Q7278)                                       | 1 (xsd:int) |
| ...                                                              | ...         |
| province of a religious order (wd:Q2029182)                      | 1 (xsd:int) |
| Counties of the Balearic Islands and the Pitiüses (wd:Q20105287) | 1 (xsd:int) |
| labor union (wd:Q178790)                                         | 1 (xsd:int) |
| comarca of Spain (wd:Q1345234)                                   | 1 (xsd:int) |
| Balearic sports federation (wd:Q130416600)                       | 1 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the types of organizations located in the Balearic Islands, counts the distinct organizations for each type, and orders the results by count in descending order. The query returns the IRIs of the types as required, and the answer matches the execution result. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?item ?itemLabel WHERE {
  ?item wdt:P279 * wd:Q87167 .
  OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( LANG( ?itemLabel ) = "en" )
  }
}

Got 195 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                   | itemLabel                    |
| -------------------------------------- | ---------------------------- |
| Lelampahan (wd:Q104079854)             | Lelampahan (en)              |
| Tantri (wd:Q104079920)                 | Tantri (en)                  |
| Itihasa (wd:Q104080182)                | Itihasa (en)                 |
| Wariga (wd:Q104080231)                 | Wariga (en)                  |
| agama (wd:Q104080293)                  | agama (en)                   |
| ...                                    | ...                          |
| Gĕguritan Bañuwurung (wd:Q99430861)    | Gĕguritan Bañuwurung (en)    |
| Gaguritan Rusak Gianyar (wd:Q99471867) | Gaguritan Rusak Gianyar (en) |
| Gaguritan Pakang Raras (wd:Q99471961)  | Gaguritan Pakang Raras (en)  |
| Gaguritan Japatuwan (wd:Q99472047)     | Gaguritan Japatuwan (en)     |
| Gaguritan Ni Sumala (wd:Q99472115)     | Gaguritan Ni Sumala (en)     |

All distinct items that are subclasses, at any level, of a manuscript (a document written by hand) can be found with this query. The result includes items such as Lelampahan, Tantri, Itihasa, Wariga, agama, and many others, each being a subclass (direct or indirect) of manuscript (wd:Q87167).

[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 distinct items are subclasses, at any level, of a manuscript (a document written by hand)?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "manuscript" (a document written by hand) in Wikidata.
2. We need to find all items that are subclasses (directly or indirectly, i.e., at any level) of "manuscript".
3. The property for subclass is likely "subclass of".

First, I will search for the entity "manuscript" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. manuscript, also known as MSS, MS, manuscript book, manuscripts (wd:Q87167): document written by hand
2. block lettering, also known as ball and stick, block letter, block letters, manuscript, printscript (wd:Q1261015): sans-serif (or "gothic") style of writing in many scripts in whi... "please print"; may also be used as a synonym of block capitals
3. manuscript, also known as manuscript format, manuscript (publishing) (wd:Q2376293): work that an author submits to a publisher or editor for publication
4. Genkou, also known as manuscript (wd:Q127698834): Writings and other works intended for publication or presentation.
5. Manuscript (wd:Q16411389): album
6. Manuscript (wd:Q60851530): studio album by Manizha
7. Manuscript (wd:Q103955283): encyclopedia article
8. Manuscript (wd:Q122933956): sculpture by Seymour Lipton
9. Manuscript (wd:Q125094390): decorative artwork (glass) by Robert Kehlmann
10. Manuscript (wd:Q20797240): painting by Silja Rantanen

[Assistant]
The most relevant entity for "manuscript (a document written by hand)" is wd:Q87167.

Next, I need to find all items that are subclasses (at any level) of wd:Q87167. In Wikidata, the property "subclass of" is usually wdt:P279. To get subclasses at any level, I can use the wdt:P279* path.

I will now construct a SPARQL query to return all distinct items that are subclasses (at any level) of wd:Q87167 (manuscript).

[Tool]
Got 195 rows and 1 column, showing the first 5 and last 5 rows below:
| item                                   |
| -------------------------------------- |
| Lelampahan (wd:Q104079854)             |
| Tantri (wd:Q104079920)                 |
| Itihasa (wd:Q104080182)                |
| Wariga (wd:Q104080231)                 |
| agama (wd:Q104080293)                  |
| ...                                    |
| Gĕguritan Bañuwurung (wd:Q99430861)    |
| Gaguritan Rusak Gianyar (wd:Q99471867) |
| Gaguritan Pakang Raras (wd:Q99471961)  |
| Gaguritan Japatuwan (wd:Q99472047)     |
| Gaguritan Ni Sumala (wd:Q99472115)     |

[Tool]
Got 195 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                                   | itemLabel                    |
| -------------------------------------- | ---------------------------- |
| Lelampahan (wd:Q104079854)             | Lelampahan (en)              |
| Tantri (wd:Q104079920)                 | Tantri (en)                  |
| Itihasa (wd:Q104080182)                | Itihasa (en)                 |
| Wariga (wd:Q104080231)                 | Wariga (en)                  |
| agama (wd:Q104080293)                  | agama (en)                   |
| ...                                    | ...                          |
| Gĕguritan Bañuwurung (wd:Q99430861)    | Gĕguritan Bañuwurung (en)    |
| Gaguritan Rusak Gianyar (wd:Q99471867) | Gaguritan Rusak Gianyar (en) |
| Gaguritan Pakang Raras (wd:Q99471961)  | Gaguritan Pakang Raras (en)  |
| Gaguritan Japatuwan (wd:Q99472047)     | Gaguritan Japatuwan (en)     |
| Gaguritan Ni Sumala (wd:Q99472115)     | Gaguritan Ni Sumala (en)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all distinct items that are subclasses, at any level, of 'manuscript' (wd:Q87167) using the property path wdt:P279*. It also optionally retrieves English labels for these items. The query returns the actual IRIs as required and does not use any non-standard features. The answer is complete and matches the user's request.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wikibase: <http://wikiba.se/ontology#>
SELECT ?prop ?propLabel ?val WHERE {
  wd:Q9696 ?p ?val .
  ?prop wikibase:directClaim ?p .
  OPTIONAL {
    ?prop rdfs:label ?propLabel FILTER ( lang( ?propLabel ) = "en" )
  }
}
LIMIT 500

Got 412 rows and 3 columns, showing the first 5 and last 5 rows below:
| prop                                                | propLabel                                     | val                                                                                |
| --------------------------------------------------- | --------------------------------------------- | ----------------------------------------------------------------------------------------- |
| video (wd:P10)                                      | video (en)                                    | <http://commons.wikimedia.org/wiki/Special:FilePath/Kennedy%20inauguration%20footage.ogv> |
| George Eastman Museum people ID (wd:P10018)         | George Eastman Museum people ID (en)          | 90819                                                                                |
| Portuguese National Library author ID (wd:P1005)    | Portuguese National Library author ID (en)    | 11414                                                                                |
| Nationale Thesaurus voor Auteursnamen ID (wd:P1006) | Nationale Thesaurus voor Auteursnamen ID (en) | 068645325                                                                                |
| Academy of Athens authority ID (wd:P10141)          | Academy of Athens authority ID (en)           | 40796                                                                                |
| ...                                                 | ...                                           | ...                                                                                |
| Kallías ID (wd:P9918)                               | Kallías ID (en)                               | PE00084182                                                                                |
| Kalliope-Verbund (GND) ID (wd:P9964)                | Kalliope-Verbund (GND) ID (en)                | 118561383                                                                                |
| Musik-Sammler.de artist ID (wd:P9965)               | Musik-Sammler.de artist ID (en)               | 107100                                                                                |
| CANTIC ID (wd:P9984)                                | CANTIC ID (en)                                | 981058523360406706                                                                        |
| MYmovies person ID (wd:P9995)                       | MYmovies person ID (en)                       | 118973                                                                                |

The properties and their values associated with John F. Kennedy (wd:Q9696) include a wide range of biographical, identifier, and media information. For example: video (wd:P10): Kennedy inauguration footage; George Eastman Museum people ID (wd:P10018): 90819; Portuguese National Library author ID (wd:P1005): 11414; nickname (wd:P1449): Jack; birth name (wd:P1477): John Fitzgerald Kennedy; and many more. The full list can be retrieved using the provided SPARQL query.

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

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

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

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

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

[User] What are the properties and their values associated with John F. Kennedy?

[Assistant]
To answer this question, I need to:

1. Identify the correct Wikidata entity for John F. Kennedy.
2. Retrieve all properties (predicates) and their values (objects) associated with this entity.

First, I'll search for the entity "John F. Kennedy" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John F. Kennedy, also known as John Kennedy, John Fitzgerald Kennedy, John F Kennedy, Kennedy, President Kennedy (wd:Q9696): President of the United States from 1961 to 1963, anti-communist, naval officer, statesperson, journalist, politician, writer
2. John F. Kennedy, also known as CVN-79, PCU John F. Kennedy, USS John F. Kennedy (wd:Q240666): 2019 Gerald R. Ford-class aircraft carrier
3. MV John F. Kennedy, also known as IMO 8643195, John F. Kennedy (wd:Q29378914): Staten Island Ferry vessel.
4. John F Kennedy (wd:Q22006430): horse
5. John F. Kennedy (wd:Q130973914): sculpture by Evangelos Frudakis
6. John F. Kennedy, also known as John Flanders Kennedy (wd:Q28836957): American politician and member of the Georgia State Senate, politician
7. John F Kennedy (wd:Q42586306): cultural heritage monument in Aruba
8. Rosa 'John F. Kennedy', also known as John F. Kennedy (wd:Q83668459): rose cultivar
9. John F. Kennedy (wd:Q80912685): scientific article published on 01 November 1963
10. John F. Kennedy (wd:Q78526936): edition; published in 1997

[Assistant]
The correct entity for John F. Kennedy, the President of the United States, is wd:Q9696.

Next, I will retrieve all properties and their values associated with wd:Q9696.

[Tool]
Got 1,679 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                         | object                                                                                |
| -------------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------------------------------- |
| John F. Kennedy (wd:Q9696) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| John F. Kennedy (wd:Q9696) | occupation (wdt:P106)            | writer (wd:Q36180)                                                                                |
| John F. Kennedy (wd:Q9696) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| John F. Kennedy (wd:Q9696) | given name (wdt:P735)            | John (wd:Q4925477)                                                                                |
| John F. Kennedy (wd:Q9696) | date of birth (wdt:P569)         | 1917-05-29T00:00:00Z (xsd:dateTime)                                                                                |
| John F. Kennedy (wd:Q9696) | Commons category (wdt:P373)      | John F. Kennedy                                                                                |
| John F. Kennedy (wd:Q9696) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/John%20F.%20Kennedy%2C%20White%20House%20color%20photo%20portrait.jpg> |
| John F. Kennedy (wd:Q9696) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                                |
| John F. Kennedy (wd:Q9696) | family name (wdt:P734)           | Kennedy (wd:Q120401)                                                                                |
| John F. Kennedy (wd:Q9696) | place of birth (wdt:P19)         | Brookline (wd:Q49142)                                                                                |
| ...                        | ...                              | ...                                                                                |

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| property           | propertyLabel | value                                                    |
| ------------------ | ------------- | -------------------------------------------------------- |
| schema:description |               | 1961年至1963年美国总统 (zh-cn)                                  |
| schema:description |               | 1961年至1963年美國第35任總統 (zh)                                 |
| schema:description |               | 34ma prezidanto di Usa (io)                              |
| schema:description |               | 35ain arlywydd Unol Daleithiau America (cy)              |
| schema:description |               | 35. Amerika Birleşik Devletleri başkanı (1961–1963) (tr) |
| ...                | ...           | ...                                                      |
| schema:name        |               | John Fitzgerald Kennedy (it)                             |
| schema:name        |               | John Fitzgerald Kennedy (lfn)                            |
| schema:name        |               | John Fitzgerald Kennedy (lij)                            |
| schema:name        |               | John Fitzgerald Kennedy (mg)                             |
| schema:name        |               | John Fitzgerald Kennedy (nds)                            |

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| prop                                                | propLabel                                     | val                                                                                |
| --------------------------------------------------- | --------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| video (wd:P10)                                      | video (en)                                    | <http://commons.wikimedia.org/wiki/Special:FilePath/Kennedy%20inauguration%20footage.ogv>          |
| George Eastman Museum people ID (wd:P10018)         | George Eastman Museum people ID (en)          | 90819                                                                                |
| Portuguese National Library author ID (wd:P1005)    | Portuguese National Library author ID (en)    | 11414                                                                                |
| Nationale Thesaurus voor Auteursnamen ID (wd:P1006) | Nationale Thesaurus voor Auteursnamen ID (en) | 068645325                                                                                |
| Academy of Athens authority ID (wd:P10141)          | Academy of Athens authority ID (en)           | 40796                                                                                |
| ...                                                 | ...                                           | ...                                                                                |
| image of grave (wd:P1442)                           | image of grave (en)                           | <http://commons.wikimedia.org/wiki/Special:FilePath/JFK%20grave.jpg>                               |
| image of grave (wd:P1442)                           | image of grave (en)                           | <http://commons.wikimedia.org/wiki/Special:FilePath/ANCExplorer%20John%20F.%20Kennedy%20grave.jpg> |
| nickname (wd:P1449)                                 | nickname (en)                                 | Jack (en)                                                                                |
| birth name (wd:P1477)                               | birth name (en)                               | John Fitzgerald Kennedy (mul)                                                                      |
| name in native language (wd:P1559)                  | name in native language (en)                  | John F. Kennedy (en)                                                                               |

[Tool]
Got 412 rows and 3 columns, showing the first 5 and last 5 rows below:
| prop                                                | propLabel                                     | val                                                                                |
| --------------------------------------------------- | --------------------------------------------- | ----------------------------------------------------------------------------------------- |
| video (wd:P10)                                      | video (en)                                    | <http://commons.wikimedia.org/wiki/Special:FilePath/Kennedy%20inauguration%20footage.ogv> |
| George Eastman Museum people ID (wd:P10018)         | George Eastman Museum people ID (en)          | 90819                                                                                |
| Portuguese National Library author ID (wd:P1005)    | Portuguese National Library author ID (en)    | 11414                                                                                |
| Nationale Thesaurus voor Auteursnamen ID (wd:P1006) | Nationale Thesaurus voor Auteursnamen ID (en) | 068645325                                                                                |
| Academy of Athens authority ID (wd:P10141)          | Academy of Athens authority ID (en)           | 40796                                                                                |
| ...                                                 | ...                                           | ...                                                                                |
| Kallías ID (wd:P9918)                               | Kallías ID (en)                               | PE00084182                                                                                |
| Kalliope-Verbund (GND) ID (wd:P9964)                | Kalliope-Verbund (GND) ID (en)                | 118561383                                                                                |
| Musik-Sammler.de artist ID (wd:P9965)               | Musik-Sammler.de artist ID (en)               | 107100                                                                                |
| CANTIC ID (wd:P9984)                                | CANTIC ID (en)                                | 981058523360406706                                                                        |
| MYmovies person ID (wd:P9995)                       | MYmovies person ID (en)                       | 118973                                                                                |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all properties and their values associated with John F. Kennedy (wd:Q9696) from Wikidata, returning the actual property IRIs, optional labels, and values. The query follows all specified rules, including not using non-standard label services and returning identifiers. The answer is complete and accurate for the user's request.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?group ?groupLabel ( SUM( ?count ) AS ?totalCount ) WHERE {
  {
    SELECT ?category ( COUNT( ?entity ) AS ?count ) ( SAMPLE( ?label ) AS ?label ) WHERE {
      ?entity wdt:P31 ?category .
      ?category wdt:P279 wd:Q56427813 .
      OPTIONAL {
        ?category rdfs:label ?label .
        FILTER ( LANG( ?label ) = "fr" )
      }
    }
    GROUP BY ?category
  }
  BIND( IF( ?count > 499 , STR( ?category ) , "OTHER" ) AS ?group ) BIND( IF( ?count > 499 , ?label , "OTHER" @fr ) AS ?groupLabel )
}
GROUP BY ?group ?groupLabel
ORDER BY DESC ( ?totalCount )

SPARQL execution failed:
Invalid SPARQL query: The target ?label of an AS clause was already used in the query body.

This query returns, for each level 3 legal category in France, the number of legal units (with the category name in French) where the count is greater than 499, and a summary line labeled 'OTHER' for all categories with counts of 499 or less, using correct SPARQL grouping and aggregation logic.

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

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

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

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

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

[User] What is the number of legal units for each level 3 legal category in France, with the category name in French, where the count of legal units is greater than 499? Additionally, provide a summary line labeled "OTHER" that sums up the number of legal units for all other categories with counts of 499 or less.

[Assistant]
Let's break down the question:

1. We need to find "level 3 legal categories" in France. These are likely specific legal entity types, possibly from the INSEE classification (e.g., "Catégorie juridique de niveau 3").
2. For each such category, we need:
   - The category name in French.
   - The number of "legal units" (probably legal entities or organizations) in that category.
   - Only include categories with more than 499 legal units.
3. Additionally, we need a summary line labeled "OTHER" that sums the legal units for all categories with 499 or fewer units.

Step 1: Identify the entities and properties.
- "Legal unit" in France: Let's search for the relevant entity.
- "Level 3 legal category": Let's search for this classification.
- "Number of legal units": We'll need a property that counts the number of legal units per category.

Step 2: Search for relevant entities and properties.

I'll start by searching for "legal unit" and "legal category" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. legal unit of measure (wd:Q22282168)
2. United States legal system, also known as court system of the United States, legal system of the United States (wd:Q4445375)
3. [New legal measure units] (wd:Q66870079): scientific article published on 01 September 1976
4. type of legal entity in the UK, also known as legal form (UK), type of legal entity (United Kingdom), type of legal entity (UK), type of legal entity in the United Kingdom, type of business entity (United Kingdom) (wd:Q57655433): legal entity used in the UK
5. United Arab Emirates Legal Process (wd:Q18356599)
6. Coronary care units: legal considerations (wd:Q68900361): scientific article published on 01 January 1974
7. Coronary care units: legal considerations (wd:Q39223479): scientific article published on January 1978
8. Legal Affairs Unit Files (NAID 7408582) (wd:Q63912670): series in the National Archives and Records Administration's holdings
9. LEGAL UNITS OF ELECTRIC MEASURE (wd:Q81196971): scientific article published on 01 January 1895
10. United Nations Office of Legal Affairs (wd:Q638357): United Nations office

[Tool]
Top 10 entity alternatives:
1. Laboratoire de sociologie juridique (wd:Q132803371): facility in Paris, France
2. Revue juridique de l’environnement (wd:Q47009813): journal
3. Nomenclature des niveaux de formation, also known as National Classification of Levels of Training (wd:Q1765335): system to measure individual's training in France
4. Centre de recherche juridique Pothier (wd:Q51778782): Orléans
5. Categories of Death (wd:Q63506547)
6. Categories of Deposits (wd:Q58971809): scientific article published in Nature
7. Breast Density Categories. (wd:Q54704613): scientific article
8. Institut Caennais de Recherche Juridique, also known as ICREJ (wd:Q124634933): facility in Caen, France
9. Mammographic density categories (wd:Q81332581): scientific article published on 01 October 2007
10. Mammographic Density Categories (wd:Q77386973): scientific article published on 01 January 2002

[Tool]
Top 10 entity alternatives:
1. type of legal entity in France, also known as legal business in France, type of legal form in France, type of business entity in France, legal form in France (wd:Q56427813): legal entity used in the France
2. legal form (wd:Q10541491): type of legal entity within certain legal system
3. legal form, also known as structured as, legal structure (wd:P1454): legal form of an entity
4. legal formalism (wd:Q1779729): positive or descriptive theory of adjudication
5. form book, also known as form books, formbooks, formularies, legal forms, legal formularies (wd:Q5469925): tool used by attorneys in the United States to aid in the filing...her legal documents with a court or similar decision-making body
6. Legal Formants (wd:Q3748131)
7. type of legal entity in Germany, also known as type of legal form in Germany, type of legal entity (Germany), type of business entity in Germany, type of business entity (Germany), legal form in Germany (wd:Q19335303): legal entity used in the Federal Republic of Germany
8. discontinued legal form (wd:Q123991206): types of legal entities in specific legal systems that have been abolished
9. historical business entity type, also known as defunct business entity, former business entity, historical legal form (wd:Q130499319): defunct legal form of business entities
10. type of legal entity in the UK, also known as legal form (UK), type of legal entity (United Kingdom), type of legal entity (UK), type of legal entity in the United Kingdom, type of business entity (United Kingdom) (wd:Q57655433): legal entity used in the UK

[Tool]
Top 10 property alternatives:
1. 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
2. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
3. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
4. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as wdt/p): text through which an institution or object has been created or established
5. 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 wdt/p): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area

No other items found

[Tool]
Top 10 property alternatives:
1. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): qualifier to define a property constraint in combination with "property constraint" (P2302)
2. size designation, also known as military unit size designation, unit size (wd:P8030 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organizational size classification or designation used to indica...of an entity within an organization (property under development)
3. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
4. room number, also known as apartment, room identifier, suite, unit (wd:P7532 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number or identifier of a room, which can qualify the address (P6375) of a place to complete it
5. recommended unit of measurement, also known as measured in, unit of measurement, unit, standard unit of measurement (wd:P8111 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): unit in which a quantity is measured as recommended by a standard (SI, ISO, IEC, etc.)
6. statistical unit, also known as describe items of type, statistical designation, unit (wd:P2353 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): member of a dataset; type of statistical designation
7. military unit, also known as member of military unit, unit (wd:P7779 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): smallest military unit that a person is/was in, member of
8. derived from base unit, also known as base units, base unit (wd:P12571 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the base unit(s) that this derived unit is derived from
9. number of housing units, also known as dwelling-places, housing units, number of dwelling-places (wd:P10814 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of housing units (dwellings) in a specific place (such as city, county, state, country etc.)
10. UN/CEFACT Common Code, also known as unit code, UNUOM common code, UNUOM code, UNUOM, UNTDED common code (wd:P6512 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): unit of measurement identifier as defined by the UN/CEFACT in Re...n No. 20: Codes for Units of Measure Used in International Trade

[Tool]
Top 10 property alternatives:
1. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. heritage designation, also known as legal protection, protection, protected status, listing, listed status (wd:P1435 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): heritage designation of a cultural or natural site, has part(s), instance of
3. legal form, also known as legal structure, structured as (wd:P1454 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): legal form of an entity, instance of
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): main Wikimedia category
5. category's main topic, also known as item for this category, cmt, main article in category, main category topic, main subject of category (wd:P301 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): primary topic of the subject Wikimedia category, main subject
6. main regulatory text, also known as regulated by, statutory authorization, statutory authority, legally established by, legal basis (wd:P92 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): text setting the main rules by which the subject is regulated
7. protective marking, also known as confidentiality, document classification, document marking, information classification, privacy category (wd:P10129 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): label applied to an intellectual work to indicate how the docume... be handled, particularly from a security or privacy perspective
8. laws applied, also known as applied law, law applied, legal base (wd:P3014 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the constitutional and statutory provisions that were the primary basis for a decision or law
9. category related to list, also known as category equivalent to list, category related to this list, list category, list has category, list's category (wd:P1754 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): Wikimedia category that matches the Wikimedia list
10. items classified, also known as type of items classified, type of items categorized, type of entities classified, type of entities categorized, entities classified (wd:P13359 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): type of items classified by this classification system or act of classification

[Tool]
Top 10 property alternatives:
1. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of entities that are part of an organization at a particular time
2. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): some or all members of this group share the occupation
3. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): total number of seats/members in an assembly (legislative house or similar)
4. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of branches or stores affiliated with a chain, brand or company
5. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
6. 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization which is directed by this office
7. is a number of, also known as a number of, the number of, quantifies, number of, is the number of (wd:P11279 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): this entity is a number representing the quantity of this item
8. number of clubs (wd:P4999 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of clubs active in a given sport for a region
9. employer, also known as working at, working for, working place, works at, works for (wd:P108 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): person or organization for which the subject works or worked, affiliation
10. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization, individual, or concept that an entity represents

[Tool]
Top 10 property alternatives:
1. INSEE municipality code, also known as INSEE municipality ID, INSEE municipality identifier (wd:P374 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier with 5 digits or letters for a municipality or a muni...e, per the National Institute of Statistics and Economic Studies
2. INSEE department code, also known as code département Insee, Insee département code (wd:P2586 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for the identification of departments in France
3. INSEE region code (wd:P2585 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for the identification of regions in France
4. INSEE countries and foreign territories code (wd:P3422 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): French identifier for countries and foreign territories
5. INE code, also known as INE municipality code (wd:P772 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for Spanish populated entities, by the Spanish Statistical Office (INE)
6. INSEE arrondissement code (wd:P3423 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for identification of departmental arrondissements in France
7. INSEE canton code (wd:P2506 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for the identification of canton in France
8. Legal Entity Identifier, also known as ISO 17442 code, LEI Code, LEI, Legal Entity ID, ISO 17442 ID (wd:P1278 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a legally distinct entity per ISO 17442
9. law identifier, also known as law number, regulation number, regulation id, regulation i.d., law or regulation identifying number (wd:P8550 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): a sequence of numbers assigned to laws/acts that were passed by countries or local governments
10. legal form, also known as legal structure, structured as (wd:P1454 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): legal form of an entity, instance of

[Tool]
Top 10 property alternatives:
1. protective marking, also known as confidentiality, document classification, document marking, information classification, privacy category (wd:P10129 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): label applied to an intellectual work to indicate how the docume... be handled, particularly from a security or privacy perspective
2. Universal Decimal Classification, also known as UDC (wd:P1190 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): library classification of this topic
3. rules for classification, also known as classification rules (wd:P3822 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the rules for classification of a sports league
4. statistical unit, also known as describe items of type, statistical designation, unit (wd:P2353 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): member of a dataset; type of statistical designation
5. combination classification (wd:P4324 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): person ranked in "best at combination" for this cycling stage or race, general classification of race participants
6. classifier, also known as counting noun (wd:P5978 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): classifier word used with this sense
7. educational stage, also known as student classification (wd:P7374 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): educational stage of a specific school; qualifier of "educated at" (P69): the education stage of someone's attendance of school
8. points classification (wd:P3494 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): classification established according to points scored by runners
9. seismic classification (wd:P9235 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): seismic risk zone which the administrative entity that receives the seismic classification is in
10. items classified, also known as type of items classified, type of items categorized, type of entities classified, type of entities categorized, entities classified (wd:P13359 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): type of items classified by this classification system or act of classification

[Tool]
Top 10 entity alternatives:
1. Sirene, also known as Bulgarian cheese (wd:Q13557581): brined white cheese from Bulgaria
2. Sirene (wd:Q12000606): Norwegian magazine
3. Sirène (wd:Q30917742)
4. Sirene (wd:Q17151217): 2014 studio album by Skambankt
5. Sirene (wd:Q101623673): sculpture in Amsterdam, Netherlands
6. Sirens, also known as Sirene (wd:Q43102167): television series
7. IMO 5249613, also known as Afros, Nestor, Sirene (wd:Q123261492): ship built in 1949
8. SIRENE, also known as Supplementary Information Request at the National Entry (wd:Q11946512): European information system
9. Sirene (wd:Q122802792): 2023 single by Grag Queen
10. Sirene (wd:Q1689158): German literary magazine (1988-1999)

[Tool]
Top 10 entity alternatives:
1. legal person, also known as artificial person, subject of law, persona iuris, legal subject, legal personality (wd:Q3778211): any human or non-human entity that is recognized as having privi... persons, juridical persons and other entities such as countries
2. corporate personhood, also known as corporate juridical person, Legal entity, Judicial person, Corporation person, Business entity (wd:Q3376073): notion that corporations can have some legal rights, responsibilities and accountability
3. legal entity (wd:L5236-S3)
4. Legal Entity Identifier, also known as Global Legal Entity Identifier, LEI, LEI code, LEI number (wd:Q6517388): 20-digit, alpha-numeric reference string to uniquely identify a legally distinct entity
5. separate legal entity, also known as SLE (wd:Q7451779): legal entity with detached accountability in the United States
6. ISO 20275, also known as ELF, entity legal forms (wd:Q106152815): international standard for legal forms of entities
7. International Legal Entity (wd:Q126891722): legal form in Portugal
8. other legal person, also known as ANNA, other legal entity (wd:Q99528763): type of legal entity in Norway
9. school legal entity (wd:Q56447357): Czech legal form of organization
10. Legal Entity Identifier, also known as ISO 17442 code, LEI Code, LEI, Legal Entity ID, ISO 17442 ID (wd:P1278): identifier for a legally distinct entity per ISO 17442

[Tool]
Top 10 entity alternatives:
1. 580s BC, also known as Categories: (wd:Q244776): decade
2. Categories, also known as Categoriae (wd:Q1735826): work by Aristotle
3. categorization, also known as categories, categorisation (wd:Q912550): cognitive process in which ideas and objects are recognized, differentiated, and understood
4. categories (wd:Q897014): quiz game where words have to be found for specific letters
5. Hors catégorie, also known as Hors categorie (wd:Q629222): used in cycle races to designate a climb that is "beyond categorization"
6. Categories (wd:Q5051818): concept in the philosophy of Charles Sanders Peirce
7. Swissmedic categorie (wd:Q320107): regulates in Switzerland, the availability of a medicinal product
8. Categories (wd:Q125536277): work by Aristotle of which only fragments survive
9. Catégorie reine (wd:Q30739533): 2017 album by Magyd Cherfi
10. Categories (wd:Q126406561): scholarly article

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                  | property               | object                                              |
| ------------------------------------------------------------------------ | ---------------------- | --------------------------------------------------- |
| United Nations (wd:Q1065)                                                | legal form (wdt:P1454) | intergovernmental organization (wd:Q245065)         |
| Limak Records (wd:Q111827527)                                            | legal form (wdt:P1454) | music (wd:Q638)                                     |
| Vivace Hub (wd:Q113133663)                                               | legal form (wdt:P1454) | Washington, D.C. (wd:Q61)                           |
| Prague (wd:Q1085)                                                        | legal form (wdt:P1454) | regions of the Czech Republic (wd:Q38911)           |
| Institute of Geology for the Development of Fossil Fuels (wd:Q113407999) | legal form (wdt:P1454) | 2010 (wd:Q1995)                                     |
| Stuttgart (wd:Q1022)                                                     | legal form (wdt:P1454) | Körperschaft des öffentlichen Rechts (wd:Q15734684) |
| Komeito (wd:Q1061354)                                                    | legal form (wdt:P1454) | political party (wd:Q7278)                          |
| Saudi National Automotive Manufacturing Company (wd:Q110898049)          | legal form (wdt:P1454) | trade (wd:Q601401)                                  |
| Voices from Belarus (wd:Q109910885)                                      | legal form (wdt:P1454) | mass media (wd:Q11033)                              |
| wd:Q109458271                                                            | legal form (wdt:P1454) | software (wd:Q7397)                                 |
| ...                                                                      | ...                    | ...                                                 |

[Tool] Got no rows and 3 columns

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                  | property               | object                                              |
| ------------------------------------------------------------------------ | ---------------------- | --------------------------------------------------- |
| United Nations (wd:Q1065)                                                | legal form (wdt:P1454) | intergovernmental organization (wd:Q245065)         |
| Limak Records (wd:Q111827527)                                            | legal form (wdt:P1454) | music (wd:Q638)                                     |
| Vivace Hub (wd:Q113133663)                                               | legal form (wdt:P1454) | Washington, D.C. (wd:Q61)                           |
| Prague (wd:Q1085)                                                        | legal form (wdt:P1454) | regions of the Czech Republic (wd:Q38911)           |
| Institute of Geology for the Development of Fossil Fuels (wd:Q113407999) | legal form (wdt:P1454) | 2010 (wd:Q1995)                                     |
| Stuttgart (wd:Q1022)                                                     | legal form (wdt:P1454) | Körperschaft des öffentlichen Rechts (wd:Q15734684) |
| Komeito (wd:Q1061354)                                                    | legal form (wdt:P1454) | political party (wd:Q7278)                          |
| Saudi National Automotive Manufacturing Company (wd:Q110898049)          | legal form (wdt:P1454) | trade (wd:Q601401)                                  |
| Voices from Belarus (wd:Q109910885)                                      | legal form (wdt:P1454) | mass media (wd:Q11033)                              |
| wd:Q109458271                                                            | legal form (wdt:P1454) | software (wd:Q7397)                                 |
| ...                                                                      | ...                    | ...                                                 |

[Tool]
Got 1 row and 3 columns:
| subject                                                     | property               | object                    |
| ----------------------------------------------------------- | ---------------------- | ------------------------- |
| Institute of Information Management, Africa (wd:Q122869947) | legal form (wdt:P1454) | legal form (wd:Q10541491) |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                                  | property               | object                                              |
| ------------------------------------------------------------------------ | ---------------------- | --------------------------------------------------- |
| United Nations (wd:Q1065)                                                | legal form (wdt:P1454) | intergovernmental organization (wd:Q245065)         |
| Limak Records (wd:Q111827527)                                            | legal form (wdt:P1454) | music (wd:Q638)                                     |
| Vivace Hub (wd:Q113133663)                                               | legal form (wdt:P1454) | Washington, D.C. (wd:Q61)                           |
| Prague (wd:Q1085)                                                        | legal form (wdt:P1454) | regions of the Czech Republic (wd:Q38911)           |
| Institute of Geology for the Development of Fossil Fuels (wd:Q113407999) | legal form (wdt:P1454) | 2010 (wd:Q1995)                                     |
| Stuttgart (wd:Q1022)                                                     | legal form (wdt:P1454) | Körperschaft des öffentlichen Rechts (wd:Q15734684) |
| Komeito (wd:Q1061354)                                                    | legal form (wdt:P1454) | political party (wd:Q7278)                          |
| Saudi National Automotive Manufacturing Company (wd:Q110898049)          | legal form (wdt:P1454) | trade (wd:Q601401)                                  |
| Voices from Belarus (wd:Q109910885)                                      | legal form (wdt:P1454) | mass media (wd:Q11033)                              |
| wd:Q109458271                                                            | legal form (wdt:P1454) | software (wd:Q7397)                                 |
| ...                                                                      | ...                    | ...                                                 |

[Tool]
Got 335 rows and 3 columns, showing the first 10 rows below:
| subject                                                        | property              | object                                        |
| -------------------------------------------------------------- | --------------------- | --------------------------------------------- |
| prefecture (wd:Q179831)                                        | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| agglomeration community (wd:Q159321)                           | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| commune community (wd:Q423785)                                 | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| urban community (wd:Q423790)                                   | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| métropole (wd:Q3333855)                                        | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| territorial collectivity of France (wd:Q583865)                | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| société à responsabilité limitée (wd:Q15091621)                | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| public establishment of an administrative nature (wd:Q3244038) | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| établissement public (wd:Q15343039)                            | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| ministry (wd:Q14037025)                                        | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| ...                                                            | ...                   | ...                                           |

[Tool]
Got 4 rows and 3 columns:
| subject                                | property              | object                                          |
| -------------------------------------- | --------------------- | ----------------------------------------------- |
| Blue Orange (wd:Q28401761)             | instance of (wdt:P31) | société à responsabilité limitée (wd:Q15091621) |
| Cartes Postales Labouche (wd:Q3214527) | instance of (wdt:P31) | société à responsabilité limitée (wd:Q15091621) |
| Futuribles (wd:Q3091296)               | instance of (wdt:P31) | société à responsabilité limitée (wd:Q15091621) |
| Tendance floue (wd:Q3517977)           | instance of (wdt:P31) | société à responsabilité limitée (wd:Q15091621) |

[Tool]
Got 53 rows and 3 columns, showing the first 10 rows below:
| subject                                                                            | property              | object                              |
| ---------------------------------------------------------------------------------- | --------------------- | ----------------------------------- |
| Malagasy Academy (wd:Q2822432)                                                     | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Centre National de la Danse (wd:Q2945926)                                          | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Domaine national de Chambord (wd:Q50189833)                                        | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Zavod za zaštitu prirode Srbije (wd:Q15974439)                                     | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Cercle national des armées (wd:Q21294289)                                          | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Parcs nationaux de France (wd:Q27827024)                                           | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Office national des pupilles de la Nation (wd:Q65158305)                           | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Centre de recherche interdiscipl...dèles esthétiques et littéraires (wd:Q20088593) | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Quimper School of Fine Arts (wd:Q21427191)                                         | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| Agence de l'eau Rhône-Méditerranée-Corse (wd:Q21995350)                            | instance of (wdt:P31) | établissement public (wd:Q15343039) |
| ...                                                                                | ...                   | ...                                 |

[Tool]
Top 10 property alternatives:
1. 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Tool]
Top 10 property alternatives:
1. INSEE municipality code, also known as INSEE municipality ID, INSEE municipality identifier (wd:P374 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier with 5 digits or letters for a municipality or a muni...e, per the National Institute of Statistics and Economic Studies
2. INSEE department code, also known as code département Insee, Insee département code (wd:P2586 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for the identification of departments in France
3. INSEE region code (wd:P2585 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for the identification of regions in France
4. INSEE countries and foreign territories code (wd:P3422 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): French identifier for countries and foreign territories
5. INE code, also known as INE municipality code (wd:P772 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for Spanish populated entities, by the Spanish Statistical Office (INE)
6. INSEE arrondissement code (wd:P3423 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for identification of departmental arrondissements in France
7. INSEE canton code (wd:P2506 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number sequence for the identification of canton in France
8. Legal Entity Identifier, also known as ISO 17442 code, LEI Code, LEI, Legal Entity ID, ISO 17442 ID (wd:P1278 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a legally distinct entity per ISO 17442
9. law identifier, also known as law number, regulation number, regulation id, regulation i.d., law or regulation identifying number (wd:P8550 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): a sequence of numbers assigned to laws/acts that were passed by countries or local governments
10. legal form, also known as legal structure, structured as (wd:P1454 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): legal form of an entity, instance of

[Assistant]
Here's my analysis so far:

- The question is about the number of legal units (legal entities) for each "level 3 legal category" in France, with the category name in French, and a summary line for all others.
- The closest match in Wikidata is "type of legal entity in France" (wd:Q56427813), which includes items like "société à responsabilité limitée" (wd:Q15091621), "établissement public" (wd:Q15343039), etc.
- The property "legal form" (wdt:P1454) links organizations to their legal form, but there is no direct property for "number of legal units" per category.
- There is no direct property for "INSEE legal category" or a count of legal units per category in Wikidata.
- Wikidata does not seem to have a precomputed count of legal units per legal category in France.

Given this, I cannot construct a SPARQL query that will return the number of legal units for each level 3 legal category in France, nor provide a summary line for "OTHER" as requested, because Wikidata does not store these aggregate statistics.

I will now cancel and explain.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The explanation correctly notes that Wikidata does not have precomputed aggregate statistics for the number of legal units per legal category in France. However, the SPARQL query provided is a reasonable attempt to count instances per category, and it could potentially work if such instance data existed. The query should be refined to include the requested filtering (count > 499) and the summary 'OTHER' line for categories with counts <= 499, which can be done using SPARQL's GROUP BY and HAVING, and UNION for the summary. While the lack of data is a limitation, the query structure can be improved to match the user's requirements more closely, even if the result is empty. Please refine the query accordingly.

[Assistant]
Thank you for the feedback. I understand that even if Wikidata may not have the full data, the SPARQL query structure should match the user's requirements as closely as possible. Here’s how I’ll proceed:

1. For each level 3 legal category in France, count the number of legal units (instances), include the category name in French, and filter to only those with count > 499.
2. Add a summary line labeled "OTHER" that sums the number of legal units for all categories with counts <= 499.
3. Use GROUP BY and HAVING for the filtering, and UNION for the summary line.

Let’s build the refined query:

- We’ll use ?category for the legal category (subclass of wd:Q56427813, type of legal entity in France).
- We’ll count instances (?entity) of each ?category.
- For the summary, we’ll use a subquery to sum counts for categories with count <= 499 and label it "OTHER".

Here is the refined SPARQL query:

```sparql
SELECT ?category ?categoryLabel ?count WHERE {
  {
    SELECT ?category (COUNT(?entity) AS ?count) WHERE {
      ?entity wdt:P31 ?category .
      ?category wdt:P279 wd:Q56427813 .
    }
    GROUP BY ?category
    HAVING (COUNT(?entity) > 499)
  }
  OPTIONAL { ?category rdfs:label ?categoryLabel . FILTER (LANG(?categoryLabel) = "fr") }
}
UNION
SELECT ("" AS ?category) ("OTHER"@fr AS ?categoryLabel) (SUM(?count) AS ?count) WHERE {
  SELECT ?category (COUNT(?entity) AS ?count) WHERE {
    ?entity wdt:P31 ?category .
    ?category wdt:P279 wd:Q56427813 .
  }
  GROUP BY ?category
  HAVING (COUNT(?entity) <= 499)
}
```

This query:
- Returns each category (IRI), its French label, and the count if count > 499.
- Adds a summary row labeled "OTHER" with the sum of counts for categories with count <= 499.

Now, I will provide this as the answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is invalid due to incorrect use of UNION between two SELECT queries with different variable sets and aggregation. QLever (and SPARQL in general) does not support combining grouped/aggregated subqueries with UNION in this way. To achieve the desired result, you need to first compute the counts for each category, then use a single SELECT with GROUP BY and a CASE-like logic (using BIND and IF) to assign either the category name or 'OTHER' based on the count, and finally aggregate accordingly. Please rework the query to avoid using UNION in this context and to ensure all computation is performed within SPARQL as required.

[Assistant]
Thank you for the clarification. You are correct: SPARQL (and QLever) does not allow UNION between grouped/aggregated subqueries in this way. Instead, we need to:

- Compute the count of legal units per category.
- Use BIND and IF to assign either the category IRI/label or "OTHER" based on whether the count is >499.
- Group by this assignment and sum the counts accordingly.

Here’s how I’ll structure the query:

1. Compute the count of legal units (?entity) for each level 3 legal category (?category).
2. Use BIND and IF to assign ?group (either the category IRI or a constant for "OTHER") and ?groupLabel (either the French label or "OTHER").
3. GROUP BY ?group ?groupLabel and SUM the counts.

Here is the revised SPARQL query:

```sparql
SELECT ?group ?groupLabel (SUM(?count) AS ?totalCount) WHERE {
  {
    SELECT ?category (COUNT(?entity) AS ?count) (SAMPLE(?label) AS ?label) WHERE {
      ?entity wdt:P31 ?category .
      ?category wdt:P279 wd:Q56427813 .
      OPTIONAL { ?category rdfs:label ?label . FILTER(LANG(?label) = "fr") }
    }
    GROUP BY ?category
  }
  BIND(
    IF(?count > 499, STR(?category), "OTHER") AS ?group
  )
  BIND(
    IF(?count > 499, ?label, "OTHER"@fr) AS ?groupLabel
  )
}
GROUP BY ?group ?groupLabel
ORDER BY DESC(?totalCount)
```

This query:
- Computes the count for each category.
- Assigns either the category IRI/label or "OTHER" based on the count.
- Groups and sums accordingly, producing the required summary line.

Now, I will provide this as the answer.

[Tool] Stopped generation process