PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {
  ?country wdt:P31 wd:Q3624078 .
  ?country wdt:P36 ?capital .
  FILTER NOT EXISTS {
    ?capital p:P36 / ps:P36 ?statement .
    ?statement pq:P582 ?endTime .
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?capital rdfs:label ?capitalLabel FILTER ( LANG( ?capitalLabel ) = "en" )
  }
}
ORDER BY ?countryLabel

Got 203 rows and 4 columns, showing the first 5 and last 5 rows below:
| country               | countryLabel     | capital                     | capitalLabel          |
| --------------------- | ---------------- | --------------------------- | --------------------- |
| Afghanistan (wd:Q889) | Afghanistan (en) | Kabul (wd:Q5838)            | Kabul (en)            |
| Albania (wd:Q222)     | Albania (en)     | Tirana (wd:Q19689)          | Tirana (en)           |
| Algeria (wd:Q262)     | Algeria (en)     | Algiers (wd:Q3561)          | Algiers (en)          |
| Andorra (wd:Q228)     | Andorra (en)     | Andorra la Vella (wd:Q1863) | Andorra la Vella (en) |
| Angola (wd:Q916)      | Angola (en)      | Luanda (wd:Q3897)           | Luanda (en)           |
| ...                   | ...              | ...                         | ...                   |
| Vietnam (wd:Q881)     | Vietnam (en)     | Hanoi (wd:Q1858)            | Hanoi (en)            |
| Yemen (wd:Q805)       | Yemen (en)       | Aden (wd:Q131694)           | Aden (en)             |
| Yemen (wd:Q805)       | Yemen (en)       | Sanaa (wd:Q2471)            | Sanaa (en)            |
| Zambia (wd:Q953)      | Zambia (en)      | Lusaka (wd:Q3881)           | Lusaka (en)           |
| Zimbabwe (wd:Q954)    | Zimbabwe (en)    | Harare (wd:Q3921)           | Harare (en)           |

The query retrieves all countries that are sovereign states along with their capitals, excluding those capitals that have an end date. It also includes the English labels for both countries and capitals and orders the results by the country label.

[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 countries and their capitals for all sovereign states, excluding those where the capital has an end date? Please include the labels for both the countries and their capitals and order by country label.

[Assistant]
To answer this question, I need to identify the following:
1. Entities representing sovereign states (countries).
2. Properties linking countries to their capitals.
3. The end date property for capitals to exclude those with an end date.
4. Retrieve labels for both countries and capitals.
5. Order the results by country label.

Step 1: Identify the entity for "sovereign state" and the property for "capital."
Step 2: Identify the property for "end date" to filter out capitals with an end date.
Step 3: Construct the SPARQL query with these constraints.

I will start by searching for the entity "sovereign state."

[Tool]
Top 10 entity alternatives:
1. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
2. country, also known as host country, state, sovereign state, land (wd:P17): sovereign state that this item is in (not to be used for human beings)
3. sovereign state (wd:L642577-S2)
4. Westphalian sovereignty, also known as state sovereignty, Westphalian system (wd:Q442402): concept of the sovereignty of nation-states in Europe
5. state sovereignty, also known as national sovereignty (wd:Q56350990)
6. The Sovereign State (wd:Q7765603): book by Anthony Sampson
7. China (sovereign state) (wd:L1012856-S1)
8. state (sovereign polity) (wd:L1216603-S1)
9. state (sovereign polity) (wd:L1220881-S1)
10. State Sovereignty Day (wd:Q130322685): Day commemorated in honor of the restoration of the sovereignty of the Republic of Azerbaijan following the Anti-Terror Operation

[Assistant] The entity for "sovereign state" is wd:Q3624078. Next, I will search for the property that links a country to its capital. I will search for properties related to "capital" for the entity "sovereign state" (wd:Q3624078).

[Tool]
Top 10 property alternatives:
1. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/p): main Wikidata property for this item
2. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdtn/wdt/p): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
3. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
4. 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
5. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
6. 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
7. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
8. said to be the same as, also known as may be, the same as, synonymous with, same as, same (wd:P460 as wdt/p): this item is said to be the same as that item, though this may be uncertain or disputed
9. Dewey Decimal Classification, also known as DDC (wd:P1036 as wdt/p): use with qualifier "edition (P747)" with item value "DDC 23" or create new item to represent the corresponding DDC edition
10. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as wdt/p): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one

No other items found

[Assistant] The search for properties related to "capital" for the entity "sovereign state" did not return a direct property for capital. I will try a general property search for "capital" to find the property that links a country to its capital.

[Tool]
Top 10 property alternatives:
1. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): seat of government of a country, province, state or other type of administrative territorial entity
3. capital cost, also known as budget, cost, unit cost (wd:P2130 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): amount of money spent on building or producing an object
4. authorised capital, also known as authorized capital (wd:P12651 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): maximum amount of share capital that the company is authorised to issue to shareholders
5. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
6. uses capitalization for, also known as capitalises, capitalizes, uses capitalisation for (wd:P6106 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): lexical classes and subclasses of words as well as other uses in the language where the first letter is written as a capital letter
7. market capitalization, also known as market cap, market capitalisation (wd:P2226 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): total value of issued shares by a publicly traded company
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. 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 pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. nominal share capital (wd:P8247 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): total of the nominal values of the issued ordinary and preference shares of the entity

[Assistant] The property "capital" (wdt:P36) is the one that links a country to its capital. Next, I will search for the property that represents the "end date" to exclude capitals with an end date.

[Tool]
Top 10 property alternatives:
1. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): dissolved, abolished or demolished date, date on which the subject died, end time
4. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): latest possible time that something could have occurred. Use as qualifier for other date properties
5. earliest end date, also known as end date (earliest) (wd:P8554 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): (qualifier) earliest date on which the statement could have begun to no longer be true, earliest date, end time
6. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
7. date of official closure, also known as closed, official closure, date of closure, closure date, closing date (wd:P3999 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): date of official closure of a building or event, end time
8. end of covered period, also known as coverage end date, covered period end (wd:P7104 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): end of period covered by an archive set, a historical book, or a collection
9. end period, also known as until period (wd:P3416 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): last period in which the statement is still valid (including the period-value)
10. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): earliest date at which an event could have happened. Use as qualifier for other date properties

[Assistant]
The property "end time" (wdt:P582) represents the moment when an entity ceases to exist or a statement stops being valid. This can be used to exclude capitals with an end date.

Now I will construct the SPARQL query:
- Select countries that are instances of sovereign state (wd:Q3624078).
- Get their capitals using property wdt:P36.
- Exclude capitals that have an end time (wdt:P582).
- Retrieve labels for both countries and capitals.
- Order by country label.

I will write the query now.

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?settlement ?settlementLabel ?officialName ?officialNameLang ?startTime ?pointInTime ?endTime WHERE {
  VALUES ?settlement {
    wd:Q1001231 wd:Q1006065 wd:Q104538 wd:Q104991 wd:Q1144653 wd:Q1212803 wd:Q12298141 wd:Q1233466 wd:Q128499 wd:Q146456
  }
  ?settlement p:P1448 ?officialNameStatement .
  ?officialNameStatement ps:P1448 ?officialName .
  OPTIONAL {
    ?officialNameStatement pq:P580 ?startTime .
  }
  OPTIONAL {
    ?officialNameStatement pq:P585 ?pointInTime .
  }
  OPTIONAL {
    ?officialNameStatement pq:P582 ?endTime .
  }
  OPTIONAL {
    ?settlement rdfs:label ?settlementLabel .
    FILTER ( LANG( ?settlementLabel ) = "en" )
  }
  BIND( LANG( ?officialName ) AS ?officialNameLang )
}
ORDER BY ?settlement ?startTime ?pointInTime ?endTime

There are human settlements that have changed their official name more than three times. Here are some examples with their official names, language tags, and time qualifiers (start time, point in time, end time) if available:

1. Szczawno-Zdrój (wd:Q1001231) with official names in different languages and time periods.
2. Wąsosz (wd:Q1006065) with multiple official names.
3. Baksan (wd:Q104538) with multiple official names.
4. Berdsk (wd:Q104991) with multiple official names.
5. Getashen (wd:Q1144653) with multiple official names.
6. Včeláre (wd:Q1212803) with multiple official names.
7. Stenimachos (wd:Q12298141) with multiple official names.
8. Pestszenterzsébet (wd:Q1233466) with multiple official names.
9. Yalta (wd:Q128499) with multiple official names.
10. Mukachevo (wd:Q146456) with multiple official names.

The query results include the settlement's name, language tag of the official name, and the start time, point in time, and end time of the official name usage if available.

[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 human settlements have changed their official name more than three times? For each result, please include the settlement's name, language tag, start time (if available), point in time (if available), and end time (if available).

[Assistant]
To answer this question, I need to identify human settlements that have changed their official names more than three times. The key points to consider are:

1. Identify entities that are human settlements.
2. Find the official names of these settlements.
3. Determine the number of times the official name has changed.
4. Retrieve the settlement's name, language tag, start time, point in time, and end time for each official name change.

Step 1: Search for the property related to official name of a human settlement.
Step 2: Identify the property or qualifier that indicates the time period of the name usage (start time, point in time, end time).
Step 3: Construct a query to find human settlements with more than three official name changes and retrieve the required information.

I will start by searching for the property related to "official name" in Wikidata.

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

[Assistant]
The property "official name" (wdt:P1448) is the relevant property for the official name of a subject in its official language(s). This property can have qualifiers such as start time, point in time, and end time to indicate the time period of the name usage.

Next, I will identify the entity for "human settlement" to filter the results accordingly. Then, I will construct a query to find human settlements with more than three official name changes and retrieve the settlement's name, language tag, start time, point in time, and end time for each official name change.

[Tool]
Top 10 entity alternatives:
1. human settlement, also known as human settlements, inhabited place, settlement, settlements (wd:Q486972): place of any size, in which people permanently live
2. Kwande, also known as Human settlement (wd:Q6450151): LGA in Benue State, Nigeria
3. human settlement (wd:L457328-S1)
4. human settlement (wd:L457329-S1)
5. human settlement (wd:L457330-S1)
6. human settlement (wd:L457332-S1)
7. human settlement (wd:L457333-S1)
8. human settlement (wd:L457334-S1)
9. human settlement (wd:L457339-S1)
10. human settlement (wd:L457346-S1)

[Assistant]
The entity for "human settlement" is wd:Q486972.

Now I will construct a SPARQL query to find human settlements (wd:Q486972) that have more than three official names (wdt:P1448) with qualifiers for start time (P580), point in time (P585), and end time (P582). I will retrieve the settlement's name, language tag, start time, point in time, and end time for each official name change. I will also count the number of official names for each settlement and filter for those with more than three official names.

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

[Assistant]
The query failed due to the use of the SERVICE wikibase:label, which is not supported by the QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional clauses to get the labels.

I will also include the language tag for the official names and retrieve the start time, point in time, and end time for each official name change. I will limit the results to 10 settlements with more than three official name changes.

[Tool] Got no rows and 7 columns

[Assistant]
The query returned no results, which might be due to the incorrect use of GROUP BY and HAVING with the detailed information of each official name. I will change the approach:

1. First, find human settlements with more than three official names.
2. Then, retrieve the details of official names for those settlements.

I will start by finding human settlements with more than three official names.

[Tool]
Got 10 rows and 2 columns:
| settlement                      | nameChangeCount |
| ------------------------------- | --------------- |
| Szczawno-Zdrój (wd:Q1001231)    | 4 (xsd:int)     |
| Wąsosz (wd:Q1006065)            | 6 (xsd:int)     |
| Baksan (wd:Q104538)             | 4 (xsd:int)     |
| Berdsk (wd:Q104991)             | 4 (xsd:int)     |
| Getashen (wd:Q1144653)          | 4 (xsd:int)     |
| Včeláre (wd:Q1212803)           | 4 (xsd:int)     |
| Stenimachos (wd:Q12298141)      | 4 (xsd:int)     |
| Pestszenterzsébet (wd:Q1233466) | 5 (xsd:int)     |
| Yalta (wd:Q128499)              | 4 (xsd:int)     |
| Mukachevo (wd:Q146456)          | 4 (xsd:int)     |

[Assistant] I found 10 human settlements that have changed their official name more than three times. Now I will retrieve the settlement's name, language tag, start time, point in time, and end time for each official name change for these settlements.

[Tool]
Got 43 rows and 7 columns, showing the first 5 and last 5 rows below:
| settlement                   | settlementLabel     | officialName        | officialNameLang | startTime                           | pointInTime | endTime                             |
| ---------------------------- | ------------------- | ------------------- | ---------------- | ----------------------------------- | ----------- | ----------------------------------- |
| Szczawno-Zdrój (wd:Q1001231) | Szczawno-Zdrój (en) | Обер Залцбрун (bg)  | bg               |                                     |             | 1935-01-01T00:00:00Z (xsd:dateTime) |
| Szczawno-Zdrój (wd:Q1001231) | Szczawno-Zdrój (en) | Обер-Зальцбрун (be) | be               |                                     |             | 1935-01-01T00:00:00Z (xsd:dateTime) |
| Szczawno-Zdrój (wd:Q1001231) | Szczawno-Zdrój (en) | Бад-Зальцбрун (be)  | be               | 1935-01-01T00:00:00Z (xsd:dateTime) |             | 1945-01-01T00:00:00Z (xsd:dateTime) |
| Szczawno-Zdrój (wd:Q1001231) | Szczawno-Zdrój (en) | Саліцы-Здруй (be)   | be               | 1945-01-01T00:00:00Z (xsd:dateTime) |             | 1946-01-01T00:00:00Z (xsd:dateTime) |
| Wąsosz (wd:Q1006065)         | Wąsosz (en)         | Chrysopolis (la)    | la               |                                     |             |                                     |
| ...                          | ...                 | ...                 | ...              | ...                                 | ...         | ...                                 |
| Yalta (wd:Q128499)           | Yalta (en)          | Ялта (ru)           | ru               | 1921-08-25T00:00:00Z (xsd:dateTime) |             |                                     |
| Mukachevo (wd:Q146456)       | Mukachevo (en)      | Munkács (hu)        | hu               |                                     |             | 1920-01-01T00:00:00Z (xsd:dateTime) |
| Mukachevo (wd:Q146456)       | Mukachevo (en)      | Мукачеве (uk)       | uk               |                                     |             | 2017-05-23T00:00:00Z (xsd:dateTime) |
| Mukachevo (wd:Q146456)       | Mukachevo (en)      | Мункач (ru)         | ru               | 1938-11-02T00:00:00Z (xsd:dateTime) |             | 1945-06-29T00:00:00Z (xsd:dateTime) |
| Mukachevo (wd:Q146456)       | Mukachevo (en)      | Мукачево (uk)       | uk               | 2017-05-23T00:00:00Z (xsd:dateTime) |             |                                     |

[Tool] Stopped generation process


I could not find any French audiovisual works in Wikidata that have an official website URL starting with 'https://www.artfilm.ch' or containing 'artfilm.ch'. The only entity with such a URL is the website itself, not an audiovisual work. Therefore, I cannot provide a SPARQL query that returns the requested information.

[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 French audiovisual works have a URL starting with "https://www.artfilm.ch"? Include their directors, and the family names of the directors, ordered by the family names.

[Assistant]
To answer this question, I need to identify French audiovisual works that have a URL starting with "https://www.artfilm.ch". Then, I need to find their directors and the family names of these directors. Finally, I will order the results by the family names of the directors.

Step 1: Identify the property for URL and the property for director in Wikidata.
Step 2: Identify the entity for French audiovisual works.
Step 3: Construct a query to find French audiovisual works with URLs starting with "https://www.artfilm.ch" and get their directors and family names.
Step 4: Order the results by the family names of the directors.

I will start by searching for the property related to URL in Wikidata.

[Tool]
Top 10 property alternatives:
1. reference URL, also known as URL fonte, webref, URL ref, URL, site (wd:P854 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): should be used for Internet URLs as references. Use "Wikimedia import URL" (P4656) for imports from WMF sites, URL
2. URL, also known as Uniform Resource Locator, URLs, Uniform Resource Locators (wd:P2699 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): location of a resource
3. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
4. Stairway To Hell URL, also known as Stairway To Hell ID, STH URL (wd:P8606 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): URL of a video game cover in the Stairway To Hell database
5. search formatter URL, also known as search formatter URI, search pattern, search URI, search URL (wd:P4354 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): web page search URL; URI template from which "$1" can be automat...with the string to be searched for. $1 can be whatever you want., formatter URL
6. described at URL, also known as mentioned at URL, descURL, described on webpage, discussed at URL, d@url (wd:P973 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): item is described at the following URL, URL
7. online access status, also known as status of website, status of webpage, state of online access, publication access status, collection access status (wd:P6954 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): property or qualifier for an ID property indicating whether linked content is directly readable online, access restriction status, has characteristic
8. shortened URL formatter, also known as shortened formatter URL, URL shortener formatter, URL shortener, short URL formatter, short URL (wd:P11136 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): URI template from which "$1" can be automatically replaced with the ID of a URL shortened by the service, formatter URL
9. full work available at URL, also known as full text available at, full text available at URL, full text url, online mirror, online version (wd:P953 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): URL of a web page containing the full body of this item, URL
10. terms of service URL, also known as terms of service, terms of use, terms of use URL, TOS, ToS URL (wd:P7014 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): URL linking to terms of service of the subject, URL

[Assistant]
The most relevant property for the URL of an item seems to be "official website" (wdt:P856) or "URL" (wdt:P2699). Since we are looking for audiovisual works with a URL, "official website" (wdt:P856) is likely the best choice.

Next, I will search for the property for director.

[Tool]
Top 10 property alternatives:
1. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): person who manages any kind of group, significant person
2. director, also known as film director, movie director, game director, directed by (wd:P57 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): director(s) of film, TV-series, stageplay, video game or similar, contributor to the creative work or subject, creator
3. editor-in-chief, also known as lead editor, managing editor, executive editor, editor in chief, directed by (wd:P5769 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): a publication's editorial leader who has final responsibility fo...publishing articles or books in collections or periodical papers
4. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): position of the head of this item
5. creative director (wd:P12617 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): person who makes high-level creative decisions, director
6. assistant director, also known as second unit director (wd:P5126 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): assistant stage director of a performing arts, film or television production
7. artistic director (wd:P8938 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): person responsible for the overall artistic vision of an organization and for its execution. See also P3174 for works., director / manager
8. art director, also known as artistic director (wd:P3174 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): person credited as the art director/artistic director of this wo... designers, lighting designers; See also P8938 for organizations
9. director of photography, also known as cinematographer, DOP (wd:P344 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): person responsible for the framing, lighting, and filtration of the subject work, film crew member
10. director of archaeological fieldwork, also known as dig director, director of excavations, excavation director (wd:P4345 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): person leading the archaeological or anthropological investigation at a given site, significant person

[Assistant]
The property for director of a film or audiovisual work is "director" (wdt:P57).

Next, I will identify the entity or class for French audiovisual works. I will start by searching for "audiovisual work" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. audiovisual work, also known as audial visual works, works (audiovisual), works (audio-visual), works (audio visual), work (audiovisual) (wd:Q2431196): creative work possessing both a sound and a visual component
2. audiovisual work (wd:Q114797752): legal concept defining a type of copyrightable work
3. lost audiovisual work (wd:Q131872580): audiovisual work produced some time in the past of which no surviving copies are known to exist
4. audiovisual release, also known as release of audiovisual work (wd:Q115668795)
5. ClassInd audiovisual work ID (wd:P8958): identifier of an audiovisual work in the Classificação Indicativa database
6. MYmovies audiovisual work ID, also known as MYmovies film ID, MYmovies TV series ID (wd:P4780): identifier for a film or a TV series in MYmovies.it
7. Audiovisual Breathing Guidance Workflow (wd:Q126549707): scholarly article
8. Audiovisual aids: 'It won't work!.' (wd:Q72627688): scientific article published on January 15, 1981
9. Interloops in audiovisual works (wd:Q122811259): doctoral thesis
10. SCIENTIFIC AUDIOVISUAL WORK HYBRID WORK AS? (wd:Q130124801): scholarly article published in 2017

[Assistant]
The entity for audiovisual work is wd:Q2431196.

Next, I will construct a SPARQL query to find French audiovisual works (instance of or subclass of audiovisual work) that have an official website URL starting with "https://www.artfilm.ch". I will also get their directors and the family names of the directors, and order the results by the family names. I will include labels for readability.

I will now write and execute the SPARQL query.

[Tool] Got no rows and 5 columns

[Assistant]
The query returned no results. It is possible that the property for country of origin (wdt:P495) is not used consistently for audiovisual works, or the family name property (wdt:P734) is not always present for directors.

I will try a modified query without the country of origin constraint and with a more general approach to get the family name using the "family name" property or the "last name" label. I will also try to get the family name as a label of the director's family name entity or as a direct string property.

[Tool] Got no rows and 5 columns

[Assistant]
The query still returned no results. It might be that the audiovisual works with URLs starting with "https://www.artfilm.ch" are not classified as instance of or subclass of audiovisual work (wd:Q2431196) or the URLs are not stored as official website (wdt:P856).

I will try to search for items with URLs starting with "https://www.artfilm.ch" using the property "URL" (wdt:P2699) instead of official website and check if they have a director. I will also try to filter for French works by checking if the country of origin is France (wd:Q142).

[Tool] Got no rows and 5 columns

[Assistant]
The query still returned no results. It seems that there might be no French audiovisual works with URLs starting with "https://www.artfilm.ch" in the Wikidata dataset, or the URLs are not stored under the properties we tried (official website or URL).

I will try a different approach: I will search for entities with URLs starting with "https://www.artfilm.ch" without restricting to French or audiovisual works, to see if there are any such entities at all. Then I can check their types and properties.

[Tool]
Got 1 row and 3 columns:
| item                      | itemLabel       | url                       |
| ------------------------- | --------------- | ------------------------- |
| artfilm.ch (wd:Q88870118) | artfilm.ch (en) | <https://www.artfilm.ch/> |

[Assistant]
There is only one entity with an official website URL starting with "https://www.artfilm.ch", and it is the entity for the website itself (wd:Q88870118), not an audiovisual work.

This suggests that there might be no French audiovisual works in Wikidata with URLs starting with "https://www.artfilm.ch".

I will now try to search for audiovisual works that have a director and check if any of their URLs contain "artfilm.ch" anywhere in the URL, using a CONTAINS filter instead of STRSTARTS. I will also restrict to French works.

[Tool] Got no rows and 5 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?municipality ?municipalityLabel WHERE {
  ?municipality wdt:P31 wd:Q15284 ; wdt:P131 ?adminEntity .
  ?adminEntity wdt:P131 * wd:Q7194 .
  OPTIONAL {
    ?municipality rdfs:label ?municipalityLabel FILTER ( LANG( ?municipalityLabel ) = "en" )
  }
}

I attempted multiple approaches to find municipalities in the Province of Girona, Spain, using the property 'located in the administrative territorial entity' (P131) and its property chains. However, all queries returned no results, indicating that the data for municipalities in the Province of Girona is not linked or structured as expected in Wikidata. Therefore, I could not find a satisfactory SPARQL query to answer the question based on the available data.

[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 municipalities in the Province of Girona, Spain?

[Assistant]
To answer the question about the municipalities in the Province of Girona, Spain, I need to identify the entity for the Province of Girona in Wikidata. Then, I will find the municipalities that are located within this province.

Step 1: Search for the entity "Province of Girona" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Province of Girona (wd:Q7194): province of Catalonia, Spain
2. Province Court of Girona, also known as Audiencia Provincial de Girona, Audiencia Provincial of Girona (wd:Q11907202)
3. flag of Girona Province, also known as flag of the province of Girona, Girona Province flag (wd:Q41534500): flag used by the province of Girona, Catalonia
4. history of the province of Girona (wd:Q118405275)
5. Pottery in the province of Girona (wd:Q106097131)
6. Quebec, also known as Quebec Province, Quebec, Canada, Québec, QC, PQ (wd:Q176): province of Canada
7. Ontario, also known as The Heartland Province, Province of Ontario, Ontario, Canada, Ont., ONT (wd:Q1904): province of Canada
8. Alberta, also known as AB, Wild Rose Country, Province of Alberta, CA-AB, Alta. (wd:Q1951): province of Canada
9. Manitoba, also known as Man., The Keystone Province, Province of Manitoba, MB, Manitoba, Canada (wd:Q1948): province of Canada
10. Saskatchewan, also known as Canada's Breadbasket, CA-SK, Province of Saskatchewan, Sask., SK (wd:Q1989): province of Canada

[Assistant] The entity for the Province of Girona in Wikidata is wd:Q7194. Now, I will find the municipalities located in this province. Typically, municipalities are instances of "municipality" (wd:Q15284) and have a property indicating their location within an administrative territorial entity (P131). I will query for entities that are instances of municipality and are located in the Province of Girona (wd:Q7194).

[Tool] Got no rows and 2 columns

[Assistant] The query returned no results, which might be because the Province of Girona (wd:Q7194) is not directly the administrative territorial entity for the municipalities. Sometimes municipalities are located in a lower-level administrative entity such as a comarca within the province. I will check the administrative territorial entities that are part of the Province of Girona to see if there are any subdivisions like comarcas.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| subdivision                 | subdivisionLabel     |
| --------------------------- | -------------------- |
| Ripollès (wd:Q10930)        | Ripollès (en)        |
| Garrotxa (wd:Q10932)        | Garrotxa (en)        |
| Gironès (wd:Q12752)         | Gironès (en)         |
| Pla de l'Estany (wd:Q12762) | Pla de l'Estany (en) |
| Baix Empordà (wd:Q12768)    | Baix Empordà (en)    |
| ...                         | ...                  |
| Lower Cerdanya (wd:Q12787)  | Lower Cerdanya (en)  |
| Espinelves (wd:Q13780)      | Espinelves (en)      |
| Vidrà (wd:Q13856)           | Vidrà (en)           |
| Viladrau (wd:Q13858)        | Viladrau (en)        |
| Alt Empordà (wd:Q6904)      | Alt Empordà (en)     |

[Assistant] The Province of Girona contains several administrative territorial entities such as Ripollès, Garrotxa, Gironès, Pla de l'Estany, Baix Empordà, Lower Cerdanya, Espinelves, Vidrà, Viladrau, and Alt Empordà. These are likely comarcas or similar subdivisions. I will now query for municipalities located within these subdivisions instead of directly within the Province of Girona. I will use these subdivisions as the location for municipalities.

[Tool] Got no rows and 2 columns

[Assistant] The query for municipalities located in the subdivisions of the Province of Girona also returned no results. This might be due to the fact that the property P131 (located in the administrative territorial entity) might not be used consistently for municipalities in these subdivisions. I will try a different approach: I will search for entities that are instances of municipality and have the Province of Girona as a higher-level administrative territorial entity using the property chain or by checking if the municipality is located in the province or its subdivisions indirectly. I will try to find municipalities that have the Province of Girona as an administrative territorial entity or are located in an entity that is located in the Province of Girona.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities that are instances of municipality and are located in the Province of Girona or its subdivisions using the property chain also returned no results. This is unexpected as there should be municipalities in the Province of Girona.

I will try a different approach: I will search for all entities that are instances of municipality (wd:Q15284) and have the country Spain (wd:Q29) and the province Girona (wd:Q7194) as administrative territorial entities. This might help to find municipalities that have both the country and province specified.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities in the Province of Girona with the country Spain also returned no results. This might indicate that the municipalities in the Province of Girona are not directly linked to the province using the property P131 or that the data is structured differently.

I will try to find all municipalities in Spain and then filter those that are located in the Province of Girona by checking their administrative territorial entity hierarchy. I will first find some municipalities in Spain and check their properties to understand how the location is represented.

[Tool]
Got 2 rows and 3 columns:
| municipality  | municipalityLabel         | adminEntity                 |
| ------------- | ------------------------- | --------------------------- |
| wd:Q133825277 | Dehesa de Villaverde (en) | Orgaz (wd:Q1118107)         |
| wd:Q16301187  |                           | Castile and León (wd:Q5739) |

[Assistant]
I found two municipalities in Spain with their administrative territorial entities. One municipality "Dehesa de Villaverde" is located in "Orgaz" and the other is located in "Castile and León". This suggests that municipalities may be linked to intermediate administrative entities rather than directly to the province.

I will now try to find the administrative territorial entities that are located in the Province of Girona (wd:Q7194) and then find municipalities that are located in these entities or their sub-entities recursively. This will help to capture municipalities that are indirectly located in the Province of Girona.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities that are located in the Province of Girona or its sub-entities using the property chain P131* returned no results. This is unexpected.

I will try a different approach: I will find all municipalities in Spain and then filter those whose administrative territorial entity or any of its parent entities is the Province of Girona. This means I will find municipalities with P131 pointing to some entity, and then check if that entity or any of its parent entities (using P131 recursively) is the Province of Girona.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities in Spain whose administrative territorial entity or any of its parent entities is the Province of Girona also returned no results. This is puzzling.

I will try to find all municipalities in the Province of Girona by searching for entities that are instances of municipality and have the Province of Girona as a part of their administrative territorial entity chain, but this time I will not restrict the country to Spain to see if that makes a difference.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities with the Province of Girona as part of their administrative territorial entity chain, without restricting the country, also returned no results.

It seems that the data model for municipalities in the Province of Girona might be different or the property P131 is not used as expected.

I will try a different approach: I will search for entities that are instances of municipality and have the Province of Girona as their "located in the administrative territorial entity" (P131) or are directly linked to the Province of Girona using any property. I will try to find any property that links municipalities to the Province of Girona.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities linked to the Province of Girona by any property also returned no results.

It appears that the data for municipalities in the Province of Girona is not directly linked to the province in the expected ways.

I will now try to find all municipalities in Catalonia (the autonomous community that includes Girona) and then filter those that are located in the Province of Girona. I will first find the entity for Catalonia and then find municipalities located in Catalonia.

[Tool]
Top 10 entity alternatives:
1. Catalonia, also known as Autonomous Community of Catalonia, Cat., Catalonha, Cataluña, Catalunya (wd:Q5705): autonomous community and nationality of Spain
2. Principality of Catalonia, also known as Principality, Principality and Counties, Catalonia (wd:Q15581): principality in the northeastern Iberian Peninsula between the 12th century and 1714
3. 13868 Catalonia, also known as Catalonia (wd:Q2355989): asteroid
4. Catalonia, also known as IMO 9176046 (wd:Q5635911): catamaran launched in 1998
5. Old Catalonia, also known as Catalonia (wd:Q3754835)
6. New Catalonia, also known as Catalonia (wd:Q3751449)
7. Catalonia (wd:Q96374545)
8. Catalonia (wd:Q113834065): cultural region
9. Catalonia Hotels & Resorts, also known as Catalonia (wd:Q126180437): chain of hotels in Spain
10. Catalònia (wd:Q115997507): sardana by Josep Sancho i Marraco

[Assistant] The entity for Catalonia in Wikidata is wd:Q5705. I will now find municipalities located in Catalonia and then filter those that are in the Province of Girona.

[Tool] Got no rows and 2 columns

[Assistant]
The query to find municipalities located directly in Catalonia (wd:Q5705) returned no results. This suggests that municipalities might not be directly linked to Catalonia either.

I will try to find municipalities that are instances of municipality and are located in any administrative territorial entity that is part of Catalonia. I will first find the subdivisions of Catalonia and then find municipalities located in these subdivisions.

[Tool]
Got 4 rows and 2 columns:
| subdivision                       | subdivisionLabel           |
| --------------------------------- | -------------------------- |
| Province of Lleida (wd:Q13904)    | Province of Lleida (en)    |
| Province of Girona (wd:Q7194)     | Province of Girona (en)    |
| Barcelona Province (wd:Q81949)    | Barcelona Province (en)    |
| Province of Tarragona (wd:Q98392) | Province of Tarragona (en) |

[Assistant]
Catalonia contains the following provinces: Province of Lleida, Province of Girona, Barcelona Province, and Province of Tarragona.

I will now find municipalities located in these provinces. Since we are interested in the Province of Girona, I will focus on municipalities located in the Province of Girona (wd:Q7194). I will try again to find municipalities that are instances of municipality and have the Province of Girona as their administrative territorial entity or part of their administrative territorial entity chain.

[Tool] Got no rows and 2 columns

[Assistant]
Despite multiple attempts, I could not find municipalities linked to the Province of Girona using the expected properties and property chains. It seems that the data for municipalities in the Province of Girona is not structured or linked in the typical way in Wikidata.

Therefore, I am unable to provide a SPARQL query that returns the municipalities in the Province of Girona, Spain, based on the available data and properties in Wikidata.

I will now provide this explanation and my best attempt at a SPARQL query so far.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?itemLabel ?property ?propertyLabel ?instanceOf ?instanceOfLabel WHERE {
  ?item wdt:P1963 ?property .
  ?property wdt:P31 ?instanceOf .
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?property rdfs:label ?propertyLabel FILTER ( LANG( ?propertyLabel ) = "en" )
  }
  OPTIONAL {
    ?instanceOf rdfs:label ?instanceOfLabel FILTER ( LANG( ?instanceOfLabel ) = "en" )
  }
}
LIMIT 100

Got 100 rows and 6 columns, showing the first 5 and last 5 rows below:
| item                                      | itemLabel                       | property                           | propertyLabel               | instanceOf                                                                          | instanceOfLabel                                                          |
| ----------------------------------------- | ------------------------------- | ---------------------------------- | --------------------------- | ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| podcast show (wd:Q24634210)               | podcast show (en)               | YouTube playlist ID (wd:P4300)     | YouTube playlist ID (en)    | Wikidata property to identify playlists (wd:Q100391350)                             | Wikidata property to identify playlists (en)                             |
| municipal library of Japan (wd:Q48085397) | municipal library of Japan (en) | ISIL (wd:P791)                     | ISIL (en)                   | Wikidata property to identify libraries (wd:Q100698536)                             | Wikidata property to identify libraries (en)                             |
| anime short film (wd:Q117209498)          | anime short film (en)           | livechart.me anime ID (wd:P12489)  | livechart.me anime ID (en)  | Wikidata property to identify an...vision shows, episodes and films (wd:Q101081817) | Wikidata property to identify an...vision shows, episodes and films (en) |
| web video producer (wd:Q118371929)        | web video producer (en)         | Niconico ID (wd:P11176)            | Niconico ID (en)            | Wikidata property to identify an...vision shows, episodes and films (wd:Q101081817) | Wikidata property to identify an...vision shows, episodes and films (en) |
| anime television series (wd:Q63952888)    | anime television series (en)    | Anime Taizen ID (wd:P11039)        | Anime Taizen ID (en)        | Wikidata property to identify an...vision shows, episodes and films (wd:Q101081817) | Wikidata property to identify an...vision shows, episodes and films (en) |
| ...                                       | ...                             | ...                                | ...                         | ...                                                                                | ...                                                                      |
| bridge (wd:Q12280)                        | bridge (en)                     | bridge number (wd:P9759)           | bridge number (en)          | Wikidata property to identify bridges (wd:Q103979805)                               | Wikidata property to identify bridges (en)                               |
| planar pseudograph (wd:Q130342655)        | planar pseudograph (en)         | dual to (wd:P1322)                 | dual to (en)                | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |
| graph (wd:Q141488)                        | graph (en)                      | The House of Graphs ID (wd:P12934) | The House of Graphs ID (en) | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |
| graph (wd:Q141488)                        | graph (en)                      | graph diameter (wd:P7462)          | graph diameter (en)         | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |
| graph (wd:Q141488)                        | graph (en)                      | graph girth (wd:P8986)             | graph girth (en)            | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |

Items where the property "properties for this type" (wd:P1963) is used include various types such as podcast show, municipal library of Japan, anime short film, web video producer, anime television series, bridge, planar pseudograph, and graph. For each of these items, the associated properties are listed along with their "instance of" characteristic. For example, the property "YouTube playlist ID" is an instance of "Wikidata property to identify playlists", and the property "ISIL" is an instance of "Wikidata property to identify libraries". This shows the items, their associated properties, and a key characteristic of those properties.

[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 items where the property "properties for this type" is used, along with the associated properties and their characteristics?

[Assistant]
The user question is asking for items where the property "properties for this type" is used, along with the associated properties and their characteristics.

Step 1: Identify the property "properties for this type" in Wikidata.
I will search for the property "properties for this type" to find its identifier.

I will now search for the property "properties for this type".

[Tool]
Top 10 property alternatives:
1. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): when this subject is used as object of “instance of”, the following properties normally apply
2. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): main Wikidata property for this item
3. Wikidata property example for properties, also known as example for properties, property example (wd:P2271 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): examples of using a property in an item statement, Wikidata property example
4. inappropriate property for this type (wd:P8952 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): property that should not be present for instances of that element
5. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
6. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): item corresponding to the concept represented by the property
7. characteristic of, also known as quality of, property of, inheres in, of (wd:P13044 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value
8. type of unit for this property (wd:P2876 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): units for this property are all instances of this item
9. related property, also known as rdfs:seeAlso, related properties, see also, seealso (wd:P1659 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): used to indicate another property that might provide additional information about the subject
10. Wikidata property example for senses, also known as property example for senses (wd:P5977 as pq/pqn/psv/p/wdt/pqv/prv/wdtn/pr/ps/psn/prn): example where this Wikidata property is used; target sense is on...ualifier the property being described given the associated value

[Assistant]
The property "properties for this type" corresponds to wd:P1963 in Wikidata.

Step 2: Find items where this property (wd:P1963) is used.
I will list items that use the property wd:P1963.

Step 3: For each item, find the associated properties and their characteristics.
I will build a SPARQL query to retrieve items with property wd:P1963, the associated properties, and their characteristics.

I will now write and execute a SPARQL query to get items using wd:P1963 and the associated properties and their characteristics.

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

[Assistant]
The SPARQL query failed because the SERVICE wikibase:label is not supported by the used QLever SPARQL endpoint.

I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for labels.

I will now rewrite and execute the SPARQL query.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 3.3 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory limitations when trying to retrieve a large amount of data.

I will simplify the query to only retrieve items and associated properties using wd:P1963 without the characteristics first. Then I can explore characteristics separately if needed.

I will now execute a simpler query to get items and associated properties using wd:P1963.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                        | itemLabel                        | property                                   | propertyLabel                       |
| ------------------------------------------- | -------------------------------- | ------------------------------------------ | ----------------------------------- |
| fictional intellectual work (wd:Q125942413) | fictional intellectual work (en) | video (wd:P10)                             | video (en)                          |
| animated film (wd:Q202866)                  | animated film (en)               | video (wd:P10)                             | video (en)                          |
| intellectual work (wd:Q15621286)            | intellectual work (en)           | video (wd:P10)                             | video (en)                          |
| creative work (wd:Q17537576)                | creative work (en)               | video (wd:P10)                             | video (en)                          |
| judiciary (wd:Q105985)                      | judiciary (en)                   | applies to jurisdiction (wd:P1001)         | applies to jurisdiction (en)        |
| ...                                         | ...                              | ...                                        | ...                                 |
| podcast show (wd:Q24634210)                 | podcast show (en)                | Listen Notes podcast ID (wd:P10213)        | Listen Notes podcast ID (en)        |
| human (wd:Q5)                               | human (en)                       | National Library of Ireland ID (wd:P10227) | National Library of Ireland ID (en) |
| individual organism (wd:Q10855152)          | individual organism (en)         | individual of taxon (wd:P10241)            | individual of taxon (en)            |
| Kanagawa selected tree 100 (wd:Q125399826)  | Kanagawa selected tree 100 (en)  | individual of taxon (wd:P10241)            | individual of taxon (en)            |
| individual animal (wd:Q26401003)            | individual animal (en)           | individual of taxon (wd:P10241)            | individual of taxon (en)            |

[Assistant]
I found items where the property "properties for this type" (wd:P1963) is used, along with the associated properties. For example, "fictional intellectual work" uses the property "video", "animated film" uses the property "video", "judiciary" uses the property "applies to jurisdiction", and so on.

Next, I will try to find the characteristics of these associated properties. The property "characteristic of" (wd:P13044) was suggested as a qualifier for characteristics in the previous search. I will check if these associated properties have characteristics using this property.

I will now write and execute a query to find characteristics of properties associated with wd:P1963.

[Tool] Got no rows and 4 columns

[Assistant]
There are no characteristics (wd:P13044) found as qualifiers for the properties associated with "properties for this type" (wd:P1963).

I will try to find other possible characteristics or qualifiers for these properties by exploring statements of these properties.

I will now list statements for one of the properties associated with wd:P1963 to see if there are any qualifiers or characteristics. I will pick the property "video" (wd:P10) as an example.

[Tool] Got no rows and 3 columns

[Assistant]
I mistakenly searched for statements of an item instead of a property. The property "video" is wd:P10, so I should list statements for the property wd:P10.

I will now list statements for the property wd:P10.

[Tool]
Got 1 row and 3 columns:
| subject         | property | object             |
| --------------- | -------- | ------------------ |
| video (wdt:P10) | rdf:type | owl:ObjectProperty |

[Assistant]
The property "video" (wdt:P10) is an ObjectProperty but no qualifiers or characteristics are shown here.

I will try to list statements for the property as a statement node (p:P10) to see if there are qualifiers or references.

I will now list statements for the property p:P10.

[Tool]
Got 681 rows and 3 columns, showing the first 10 rows below:
| subject        | property                                     | object                                     |
| -------------- | -------------------------------------------- | ------------------------------------------ |
| video (wd:P10) | instance of (wdt:P31)                        | curated Wikidata property (wd:Q121928698)  |
| video (wd:P10) | property constraint (wdt:P2302)              | format constraint (wd:Q21502404)           |
| video (wd:P10) | Wikidata property example (wdt:P1855)        | Varanus komodoensis (wd:Q4504)             |
| video (wd:P10) | related property (wdt:P1659)                 | YouTube video ID (wd:P1651)                |
| video (wd:P10) | formatter URL (wdt:P1630)                    | https://commons.wikimedia.org/wiki/File:$1 |
| video (wd:P10) | property proposal discussion (p:P3254)       | s:P10-e7f47166-4b13-3b2c-4652-56b694a80cc4 |
| video (wd:P10) | Wikidata item of this property (wdt:P1629)   | video (wd:Q98069877)                       |
| video (wd:P10) | stability of property value (wdt:P2668)      | sometimes changes (wd:Q24025284)           |
| video (wd:P10) | property usage tracking category (wdt:P2875) | wd:Q108853099                              |
| video (wd:P10) | equivalent property (wdt:P1628)              | <https://schema.org/video>                 |
| ...            | ...                                          | ...                                        |

[Assistant]
I found several characteristics and related information for the property "video" (wd:P10), such as instance of curated Wikidata property, property constraint, related property, formatter URL, stability of property value, equivalent property, etc.

I will now write a SPARQL query to retrieve for items where "properties for this type" (wd:P1963) is used, the associated properties, and for each property some of its characteristics like instance of, property constraint, related property, stability of property value, and equivalent property.

I will now write and execute this query.

[Tool]
SPARQL execution failed:
Tried to allocate 163.9 GB, but only 18 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory limitations because it tries to retrieve a large amount of data.

I will reduce the complexity by limiting the number of items and properties retrieved and focus on one characteristic at a time.

I will first try to get items, properties, and the "instance of" characteristic (wdt:P31) for the properties.

I will now execute a simpler query with only the "instance of" characteristic.

[Tool]
Got 100 rows and 6 columns, showing the first 5 and last 5 rows below:
| item                                      | itemLabel                       | property                           | propertyLabel               | instanceOf                                                                          | instanceOfLabel                                                          |
| ----------------------------------------- | ------------------------------- | ---------------------------------- | --------------------------- | ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| podcast show (wd:Q24634210)               | podcast show (en)               | YouTube playlist ID (wd:P4300)     | YouTube playlist ID (en)    | Wikidata property to identify playlists (wd:Q100391350)                             | Wikidata property to identify playlists (en)                             |
| municipal library of Japan (wd:Q48085397) | municipal library of Japan (en) | ISIL (wd:P791)                     | ISIL (en)                   | Wikidata property to identify libraries (wd:Q100698536)                             | Wikidata property to identify libraries (en)                             |
| anime short film (wd:Q117209498)          | anime short film (en)           | livechart.me anime ID (wd:P12489)  | livechart.me anime ID (en)  | Wikidata property to identify an...vision shows, episodes and films (wd:Q101081817) | Wikidata property to identify an...vision shows, episodes and films (en) |
| web video producer (wd:Q118371929)        | web video producer (en)         | Niconico ID (wd:P11176)            | Niconico ID (en)            | Wikidata property to identify an...vision shows, episodes and films (wd:Q101081817) | Wikidata property to identify an...vision shows, episodes and films (en) |
| anime television series (wd:Q63952888)    | anime television series (en)    | Anime Taizen ID (wd:P11039)        | Anime Taizen ID (en)        | Wikidata property to identify an...vision shows, episodes and films (wd:Q101081817) | Wikidata property to identify an...vision shows, episodes and films (en) |
| ...                                       | ...                             | ...                                | ...                         | ...                                                                                | ...                                                                      |
| bridge (wd:Q12280)                        | bridge (en)                     | bridge number (wd:P9759)           | bridge number (en)          | Wikidata property to identify bridges (wd:Q103979805)                               | Wikidata property to identify bridges (en)                               |
| planar pseudograph (wd:Q130342655)        | planar pseudograph (en)         | dual to (wd:P1322)                 | dual to (en)                | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |
| graph (wd:Q141488)                        | graph (en)                      | The House of Graphs ID (wd:P12934) | The House of Graphs ID (en) | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |
| graph (wd:Q141488)                        | graph (en)                      | graph diameter (wd:P7462)          | graph diameter (en)         | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |
| graph (wd:Q141488)                        | graph (en)                      | graph girth (wd:P8986)             | graph girth (en)            | Wikidata property related to graphs (wd:Q104245263)                                 | Wikidata property related to graphs (en)                                 |

[Tool] Stopped generation process