PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?human WHERE {
  ?human wdt:P31 wd:Q5 .
  ?human wdt:P19 ?birthPlace .
  ?birthPlace ( wdt:P131 ) * wd:Q408 .
  FILTER NOT EXISTS {
    ?human wdt:P21 ?sexOrGender
  }
}

Got 50 rows and 1 column, showing the first 5 and last 5 rows below:
| human                                  |
| -------------------------------------- |
| Geoffrey Robert Phipps (wd:Q102300535) |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)   |
| Nangapiana (wd:Q104268366)             |
| Nik Michael Imran (wd:Q110134834)      |
| Vincent Brown (wd:Q110175144)          |
| ...                                    |
| Jamie Grant (wd:Q55427878)             |
| Graham Stone (wd:Q57239827)            |
| wd:Q61059979                           |
| Rupert Ryder (wd:Q95690710)            |
| Kim Jones (wd:Q98915654)               |

There are humans who were born in Australia or in any administrative territorial entity within Australia who do not have a specified sex or gender. Some examples are Geoffrey Robert Phipps (wd:Q102300535), Muŋgurrawuy Yunupiŋu (wd:Q104261117), Nangapiana (wd:Q104268366), Nik Michael Imran (wd:Q110134834), and Vincent Brown (wd:Q110175144).

[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 humans who were born in Australia or in any administrative territorial entity within Australia do not have a specified sex or gender?

[Assistant]
To answer this question, I need to identify humans born in Australia or in any administrative territorial entity within Australia and check if they do not have a specified sex or gender.

Step 1: Identify the entity for Australia.
Step 2: Identify the property for place of birth.
Step 3: Identify the property for administrative territorial entity.
Step 4: Identify the property for sex or gender.
Step 5: Construct a query to find humans born in Australia or in any administrative territorial entity within Australia who do not have a specified sex or gender.

I will start by searching for the entity for Australia.

[Tool]
Top 10 entity alternatives:
1. Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania
2. Australian continent, also known as New Holland, Sahul, Nova Hollandia, Meganesia, Australinea (wd:Q3960): continent in the Earth's Southern Hemisphere
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers
6. Australia (wd:Q781244): board game
7. Australia (wd:Q16835533): Racehorse
8. Australia, also known as Australia (KA–5) (wd:Q4823541): yacht that raced in the Americas Cup
9. Australia (wd:Q4823543): 2000 album by Howie Day
10. Australia (wd:Q25907685): albedo feature on the planet Mercury

[Assistant] The entity for the country Australia is wd:Q408. Next, I will identify the property for place of birth and the property for administrative territorial entity. Then I will identify the property for sex or gender.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[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 wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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 wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
4. 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 wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 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
5. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)
6. LAU, also known as local administrative unit (wd:P782 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a local administrative unit, renamed from NUTS 4 and NUTS 5. Format: 2 letters followed by digits
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): seat of government of a country, province, state or other type of administrative territorial entity
8. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
9. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
2. grammatical gender, also known as gender (wd:P5185 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): grammatical gender of the word
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. sexual orientation, also known as sexuality (wd:P91 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the sexual orientation of the person relative to their declared ...r it has been widely agreed upon by historians after their death
8. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): female form of name or title (for male use P3321)
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): male form of name or title (for female use P2521)
10. GSSO ID, also known as Gender, Sex, and Sexual Orientation Ontology ID, GSSO identifier, Gender, Sex, and Sexual Orientation Ontology identifier (wd:P9827 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology

[Assistant]
The relevant properties are:
- place of birth (wdt:P19)
- located in the administrative territorial entity (wdt:P131)
- sex or gender (wdt:P21)

The entity for Australia is wd:Q408.

Next, I will construct a SPARQL query to find humans (instance of human wd:Q5) who were born in Australia or in any administrative territorial entity within Australia and do not have a specified sex or gender.

[Tool]
Got 10 rows and 1 column:
| human                                          |
| ---------------------------------------------- |
| Geoffrey Robert Phipps (wd:Q102300535)         |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)           |
| Nangapiana (wd:Q104268366)                     |
| Nik Michael Imran (wd:Q110134834)              |
| Vincent Brown (wd:Q110175144)                  |
| Sylvanus Partridge Reynolds (wd:Q110486188)    |
| Handricus Alouisius Dillewaard (wd:Q111257835) |
| Timothy Horn (wd:Q111986827)                   |
| Joy Holley (wd:Q112158606)                     |
| Keith Wilkes (wd:Q113163074)                   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies humans (wd:Q5) born in Australia (wd:Q408) or any administrative territorial entity within Australia by using the property path (wdt:P131)* to cover nested administrative entities. It also correctly filters out humans who have a specified sex or gender (wdt:P21) using FILTER NOT EXISTS. The query returns the IRIs of the humans as required, and the answer provides examples with their Wikidata QIDs. The query and answer are complete, accurate, and follow the guidelines for SPARQL queries. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX prov: <http://www.w3.org/ns/prov#>
PREFIX pr: <http://www.wikidata.org/prop/reference/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
SELECT ?passengers ?year ?statedIn ?referenceURL ?title WHERE {
  wd:Q223416 p:P3872 ?patronageStatement .
  ?patronageStatement ps:P3872 ?passengers .
  OPTIONAL {
    ?patronageStatement pq:P585 ?year .
  }
  ?patronageStatement prov:wasDerivedFrom ?referenceNode .
  OPTIONAL {
    ?referenceNode pr:P248 ?statedIn .
  }
  OPTIONAL {
    ?referenceNode pr:P854 ?referenceURL .
  }
  OPTIONAL {
    ?referenceNode pr:P1476 ?title .
  }
  FILTER NOT EXISTS {
    ?patronageStatement wikibase:rank wikibase:DeprecatedRank
  }
}
ORDER BY ?year

The yearly patronage statistics for Orly Airport include the number of passengers and the year. The references for these statistics include the reference source (stated in), reference URL, and title where available. The data excludes deprecated statements. Here are some example results:
- Year: 1980, Passengers: 15,866,000, Reference URL: http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls
- Year: 1984, Passengers: 17,175,000, Reference URL: http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls
- Year: 2018-07, Passengers: 3,243,535, Reference URL: https://presse.groupeadp.fr/trafic-du-mois-de-juillet-2018/
- Year: 2018-08, Passengers: 3,084,319, Reference URL: https://presse.groupeadp.fr/trafic-du-mois-daout-2018/
- Year: 2018-09, Passengers: 2,896,702, Reference URL: https://presse.groupeadp.fr/trafic-du-mois-de-septembre-2018/
This pattern continues for other years and months as well.

[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 yearly patronage statistics for Orly Airport, including the year, number of passengers, reference type, and reference? Exclude deprecated statements in your results.

[Assistant]
To answer the question about the yearly patronage statistics for Orly Airport, including the year, number of passengers, reference type, and reference, while excluding deprecated statements, I will follow these steps:

1. Identify the entity for Orly Airport in Wikidata.
2. Identify the property that represents yearly patronage statistics (likely "passenger traffic" or similar).
3. Retrieve the year, number of passengers, reference type, and reference for the patronage statistics.
4. Exclude deprecated statements.

Step 1: Search for the entity "Orly Airport" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Orly Airport, also known as PARIS-ORLY airport, Paris-Orly Airport, Paris Orly Airport, Paris-Orly, PARIS-ORLY (wd:Q223416): international airport serving Paris, France
2. Orly Airport, also known as LFPO, ORY, PARIS-ORLY airport, Paris-Orly, PARIS-ORLY (wd:Q223416): international airport serving Paris, France
3. Orly Airport attack (wd:Q2869976): bombing in Orly airport by ASALA
4. 1975 Orly Airport attacks (wd:Q56279263): 1975 terrorist attack
5. 1978 Orly Airport attack (wd:Q28493514): 1978 terrorist attack
6. Best Western Plus Paris Orly Airport (wd:Q111390506): hotel in Rungis, France
7. ADP ORLY AIRPORT  DEVELOPMENT 2016-2020 project (wd:Q100335335)
8. Hilton Garden Inn Paris Orly Airport (wd:Q112016300): hotel in Rungis, France
9. airport, also known as aerodrome, air port, airports (wd:Q1248784): location where aircraft take off and land with extended support facilities, mostly for commercial air transport
10. Orly (wd:Q236058): French commune in Val-de-Marne, Île-de-France

[Assistant] The entity for Orly Airport is wd:Q223416. Next, I will identify the property that represents yearly patronage statistics, such as the number of passengers per year. I will search for properties related to "passenger traffic" or "number of passengers" for the entity Orly Airport.

[Tool]
Top 10 property alternatives:
1. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as p/wdt): number of passengers, patrons or visitors in specified time period
2. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as p/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
3. place served by transport hub, also known as serves city, train station serves, served by transport hub, city served, area served by transport hub (wd:P931 as p/wdt): territorial entity or entities served by this transport hub (airport, train station, etc.), significant place
4. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as p/wdt): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
7. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as p/wdt): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
8. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
9. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
10. 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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

No other items found

[Assistant]
The property "patronage" (wdt:P3872) represents the number of passengers, visitors, users, ridership, or riders in a specified time period. This seems to be the appropriate property for yearly patronage statistics.

Next, I will construct a SPARQL query to retrieve the yearly patronage statistics for Orly Airport (wd:Q223416), including the year, number of passengers, reference type, and reference, while excluding deprecated statements. I will also try to get the year from the qualifier or statement date.

I will start with a basic query to get the patronage values and their qualifiers (like year) and references.

[Tool] Got no rows and 4 columns

[Assistant]
The initial query did not return any results. It is possible that the year is not stored as a qualifier P585 (point in time) for the patronage property or that the references are structured differently.

I will refine the query to also check for the year as a statement qualifier with property "P585" (point in time) or "P580" (start time) or "P582" (end time). Also, I will try to get the reference type and reference more explicitly.

I will try a more detailed query to get the patronage, year, reference type, and reference for Orly Airport, excluding deprecated statements.

[Tool] Got no rows and 4 columns

[Assistant]
The refined query still did not return any results. It seems that the patronage data for Orly Airport might not be recorded with the property P3872 or the year might not be stored as a qualifier in the expected way.

I will check the statements of Orly Airport (wd:Q223416) for the property P3872 (patronage) to see how the data is structured. This will help me understand how the yearly patronage statistics are recorded.

[Tool]
Got 1 row and 3 columns:
| subject                   | property              | object                 |
| ------------------------- | --------------------- | ---------------------- |
| Orly Airport (wd:Q223416) | patronage (wdt:P3872) | 29187269 (xsd:decimal) |

[Assistant]
There is a patronage value (29187269) recorded for Orly Airport, but it is a direct value without qualifiers or references in this direct property form (wdt:P3872).

I will now check the statements for the property P3872 (patronage) in the full statement form (p:P3872) to see if there are qualifiers or references attached. This will help to get the year and references.

[Tool]
Got 138 rows and 3 columns, showing the first 10 rows below:
| subject                   | property            | object                                         |
| ------------------------- | ------------------- | ---------------------------------------------- |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-03EC0AB5-AD65-455A-9042-70D77A1C5198 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-04D534DF-15AE-4D40-8F8C-EC28144B8312 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-06B445D1-2333-49ED-9AFF-9A7792AE7965 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-06DA4721-768A-4234-92F8-2B8611EB0B3E |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-0B816215-17D8-4E94-84AB-F581B54D0E97 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-0E19228B-F361-4DAA-B4BE-CEAB447F4206 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-0E1E59DE-88B2-413B-827F-9340A558BE10 |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-0FE35132-1C0B-4C56-89E0-6D72528EBD6F |
| Orly Airport (wd:Q223416) | patronage (p:P3872) | s:Q223416-1079E759-0976-4271-B880-4F223289D9BC |
| ...                       | ...                 | ...                                            |

[Assistant]
There are many statements for the patronage property (p:P3872) for Orly Airport, which likely contain qualifiers and references.

I will now construct a query to retrieve the number of passengers, the year (qualifier P585), the reference type, and the reference for these patronage statements, excluding deprecated statements. I will limit the results to 100 for now.

[Tool] Got no rows and 4 columns

[Assistant]
The query still returns no results. It is possible that the year is not stored as qualifier P585 for these patronage statements.

I will check the qualifiers for one of the patronage statements to see what qualifiers are used. I will pick one patronage statement from the list and check its qualifiers. For example, I will check the qualifiers of the statement s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2.

[Tool]
Got 7 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | point in time (pq:P585)  | 2005-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | patronage (ps:P3872)     | 24860532 (xsd:decimal)                       |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | wikibase:rank            | wikibase:NormalRank                          |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | rdf:type                 | wikibase:Statement                           |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | prov:wasDerivedFrom      | ref:3948a30d10e9d6b457475243680cacb1c7465f31 |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | point in time (pqv:P585) | v:1787cce2e37eae1c7c8cef5bef90f0ba           |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | patronage (psv:P3872)    | v:aae31bb14eaeeccee10cec417842b33a           |

[Assistant]
The patronage statement s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 has the following relevant information:
- patronage (ps:P3872) = 24860532
- point in time (pq:P585) = 2005-01-01T00:00:00Z
- reference node: ref:3948a30d10e9d6b457475243680cacb1c7465f31

The year is stored as a qualifier P585 (point in time) as expected.

I will now refine the query to also get the reference type and reference from the reference node ref:3948a30d10e9d6b457475243680cacb1c7465f31 and similar references for other statements.

I will run the query again to get the passengers, year, reference type, and reference for all patronage statements of Orly Airport, excluding deprecated statements.

[Tool] Got no rows and 4 columns

[Assistant]
The query still returns no results, which is unexpected given the example statement we inspected.

I suspect the issue might be with the reference node property filtering or the way the reference type and reference are extracted.

I will simplify the query to just get the passengers, year, and reference node for the patronage statements, excluding deprecated statements, to verify if we can get any results. Then I will explore the reference node further.

[Tool]
Got 100 rows and 3 columns, showing the first 5 and last 5 rows below:
| passengers             | year                                | referenceNode                                |
| ---------------------- | ----------------------------------- | -------------------------------------------- |
| 15866000 (xsd:decimal) | 1980-01-01T00:00:00Z (xsd:dateTime) | ref:02b12199b6c66fb5461c0daca4e11a26db58526b |
| 17175000 (xsd:decimal) | 1984-01-01T00:00:00Z (xsd:dateTime) | ref:02b12199b6c66fb5461c0daca4e11a26db58526b |
| 17675000 (xsd:decimal) | 1985-01-01T00:00:00Z (xsd:dateTime) | ref:02b12199b6c66fb5461c0daca4e11a26db58526b |
| 18544000 (xsd:decimal) | 1986-01-01T00:00:00Z (xsd:dateTime) | ref:02b12199b6c66fb5461c0daca4e11a26db58526b |
| 20430000 (xsd:decimal) | 1987-01-01T00:00:00Z (xsd:dateTime) | ref:02b12199b6c66fb5461c0daca4e11a26db58526b |
| ...                    | ...                                 | ...                                          |
| 3243535 (xsd:decimal)  | 2018-07-01T00:00:00Z (xsd:dateTime) | ref:2ccbd978bfb57547bae1ec69dc9a0e509a2b2bb5 |
| 3084319 (xsd:decimal)  | 2018-08-01T00:00:00Z (xsd:dateTime) | ref:d9289d8a6d4c4be7c13ae70558978d624678a582 |
| 2896702 (xsd:decimal)  | 2018-09-01T00:00:00Z (xsd:dateTime) | ref:dfd1f3cb8022d75a4d714d35c2d793fa6bd815da |
| 3000457 (xsd:decimal)  | 2018-10-01T00:00:00Z (xsd:dateTime) | ref:a46670abcc48419557af9ebfa0c2f94dd1ee9ec1 |
| 2384344 (xsd:decimal)  | 2018-11-01T00:00:00Z (xsd:dateTime) | ref:0d9e3f55bbb75cf46487b0de84f53f2e88969799 |

[Assistant]
I successfully retrieved the passengers, year, and reference node for the patronage statements of Orly Airport, excluding deprecated statements.

Next, I will retrieve the reference type and reference URL or identifier for these reference nodes. I will do this by querying the properties of the reference nodes.

I will construct a query to get the passengers, year, reference type, and reference for the patronage statements of Orly Airport, excluding deprecated statements, by joining with the reference node properties.

[Tool] Got no rows and 4 columns

[Assistant]
The query to get the reference type and reference from the reference node still returns no results.

I will try a different approach to get the reference type and reference by checking common reference properties such as "stated in" (P248), "reference URL" (P854), and "title" (P1476) for the reference nodes.

I will construct a query to get the passengers, year, and reference details (stated in, reference URL, title) for the patronage statements of Orly Airport, excluding deprecated statements.

[Tool]
Got 100 rows and 5 columns, showing the first 5 and last 5 rows below:
| passengers             | year                                | statedIn | referenceURL                                                                                | title |
| ---------------------- | ----------------------------------- | -------- | --------------------------------------------------------------------------------------------------------------------------- | ----- |
| 15866000 (xsd:decimal) | 1980-01-01T00:00:00Z (xsd:dateTime) |          | <http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls> |       |
| 17175000 (xsd:decimal) | 1984-01-01T00:00:00Z (xsd:dateTime) |          | <http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls> |       |
| 17675000 (xsd:decimal) | 1985-01-01T00:00:00Z (xsd:dateTime) |          | <http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls> |       |
| 18544000 (xsd:decimal) | 1986-01-01T00:00:00Z (xsd:dateTime) |          | <http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls> |       |
| 20430000 (xsd:decimal) | 1987-01-01T00:00:00Z (xsd:dateTime) |          | <http://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-11/7-memento-2015-transports-aeriens-b.xls> |       |
| ...                    | ...                                 | ...      | ...                                                                                | ...   |
| 3243535 (xsd:decimal)  | 2018-07-01T00:00:00Z (xsd:dateTime) |          | <https://presse.groupeadp.fr/trafic-du-mois-de-juillet-2018/>                                                               |       |
| 3084319 (xsd:decimal)  | 2018-08-01T00:00:00Z (xsd:dateTime) |          | <https://presse.groupeadp.fr/trafic-du-mois-daout-2018/>                                                                    |       |
| 2896702 (xsd:decimal)  | 2018-09-01T00:00:00Z (xsd:dateTime) |          | <https://presse.groupeadp.fr/trafic-du-mois-de-septembre-2018/>                                                             |       |
| 3000457 (xsd:decimal)  | 2018-10-01T00:00:00Z (xsd:dateTime) |          | <https://presse.groupeadp.fr/trafic-du-mois-doctobre-2018/>                                                                 |       |
| 2384344 (xsd:decimal)  | 2018-11-01T00:00:00Z (xsd:dateTime) |          | <https://presse.groupeadp.fr/strongtrafic-du-mois-de-novembre-2018-strong/>                                                 |       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the yearly patronage statistics for Orly Airport, including the number of passengers, the year, and reference information such as the reference source, reference URL, and title where available. It properly excludes deprecated statements as requested. The answer provides a clear summary and examples of the data, matching the query results. The query uses appropriate properties and filters, and the results are well structured and relevant. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?creator ?birthPlace ?inventoryNumber ?image WHERE {
  ?item wdt:P195 wd:Q3329624 .
  OPTIONAL {
    ?item wdt:P170 ?creator .
    OPTIONAL {
      ?creator wdt:P19 ?birthPlace .
      FILTER ( ?birthPlace = wd:Q1244 || EXISTS {
        ?birthPlace wdt:P131 wd:Q1244
      }
      || EXISTS {
        ?birthPlace wdt:P131 / wdt:P131 wd:Q1244
      }
      )
    }
  }
  OPTIONAL {
    ?item wdt:P217 ?inventoryNumber .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
}
LIMIT 20

This query retrieves up to 20 items in the collection of the Musée d'art et d'histoire de Saint-Brieuc, along with their creators, the creators' places of birth if located in Brittany (wd:Q1244) or one or two administrative levels within Brittany, inventory numbers, and images if available. The query avoids the expensive property path operator to reduce memory usage and returns the actual identifiers as requested.

[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 in the collection of the Musée d'art et d'histoire de Saint-Brieuc, along with the items of their creators, the items of the creators' places of birth in Brittany, their inventory numbers, and images (if available)?

[Assistant]
To answer this question, I need to identify the entity for the Musée d'art et d'histoire de Saint-Brieuc and then find the items in its collection. For each item, I will find its creator, the creator's place of birth, and check if the place of birth is in Brittany. Additionally, I will retrieve the inventory numbers and images of the items if available.

Step 1: Search for the entity representing the Musée d'art et d'histoire de Saint-Brieuc.

[Tool]
Top 10 entity alternatives:
1. Musée d'art et d'histoire de Saint-Brieuc, also known as Musee de Saint-Brieuc, Musée de Saint-Brieuc, Saint Brieuc Museum of Art and History (wd:Q3329624): museum in Saint-Brieuc, France
2. Musée d’Art et d’Histoire de Genève, also known as MAHG, Musée d'Art et d'Histoire (building), Museum of Art and History (wd:Q679075): museum in Geneva (Switzerland)
3. Musée d'Art et d'Histoire, also known as Musée d'art et d'histoire de Neuchâtel, Museum of Art and History (wd:Q3329620): museum building in the city of Neuchâtel, Switzerland
4. musée d'art et d'histoire de Saint-Denis (wd:Q3329627): museum in Saint-Denis, France
5. Musée d'art et d'histoire de Narbonne (wd:Q3329619): museum in Narbonne, France
6. Musée d'Art et d'Histoire de Cholet (wd:Q3329613): museum in Cholet, France
7. musée d'art et d'histoire de Lisieux (wd:Q3329623): museum in Lisieux, France
8. Musée d'art et d'histoire de Saint-Lô, also known as Musée des Beaux-Arts de Saint-Lô (wd:Q15818381): museum in Saint-Lô, France
9. Musée d'art et d'histoire de Toul (wd:Q3329626): art and history museum in Toul (Meurthe-et-Moselle, France)
10. Musée d'art et d'histoire de Langres (wd:Q3329617): museum in Langres, France

[Assistant] The entity for Musée d'art et d'histoire de Saint-Brieuc is wd:Q3329624. Next, I will find the items in the collection of this museum. Typically, items in a museum's collection are linked with the property "collection" or "has part" or similar. I will try to find items that have this museum as their collection location or owner.

[Tool]
Got 293 rows and 3 columns, showing the first 10 rows below:
| subject                                                   | property              | object                                                  |
| --------------------------------------------------------- | --------------------- | ------------------------------------------------------- |
| Messalina (wd:Q61044372)                                  | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Une chapelle de pêcheurs près de Plouha (wd:Q17496012)    | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Know Thyself: Youth between Vice and Vertu (wd:Q18809844) | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Kelp-burning at the Pointe du Raz (wd:Q26771511)          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Tête de vieille (wd:Q43306232)                            | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Paysage, Sucy-en-Brie (wd:Q43306235)                      | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| L'auberge (wd:Q43306237)                                  | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Portrait de l'amiral Charner (wd:Q43306265)               | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Poissons phosphorescents du Japon (wd:Q43306266)          | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| Buveur (wd:Q43306285)                                     | collection (wdt:P195) | Musée d'art et d'histoire de Saint-Brieuc (wd:Q3329624) |
| ...                                                       | ...                   | ...                                                     |

[Assistant] I found 293 items in the collection of the Musée d'art et d'histoire de Saint-Brieuc using the property "collection" (wdt:P195). Now I will find the creators of these items using the property "creator" (wdt:P170). I will also retrieve the inventory numbers (wdt:P217) and images (wdt:P18) of the items. Then, I will find the places of birth (wdt:P19) of the creators and check if these places are located in Brittany. To check if a place is in Brittany, I will look for the administrative territorial entity (wdt:P131) chain leading to Brittany (wd:Q1243). I will build a query to get all this information.

[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 because the SERVICE wikibase:label is not supported by the QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label for labels.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.6 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query is too large and causes memory issues. I will reduce the complexity by first retrieving the items, their creators, and inventory numbers and images. Then I will separately retrieve the places of birth of the creators and check if they are in Brittany. I will start with a simpler query to get items, creators, inventory numbers, and images.

[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 still causes memory issues. I will reduce the limit to 20 items to reduce memory usage.

[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 still causes memory issues even with a smaller limit. I will simplify the query further by removing the label retrieval and only get the item, creator, inventory number, and image. Then I will get the labels in a separate query if needed.

[Tool]
Got 20 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                             | creator                         | inventoryNumber | image                                                                                |
| ------------------------------------------------ | ------------------------------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Les premières armes de Marbot (wd:Q110937344)    | André Marchand (wd:Q53048343)   | 186             | <http://commons.wikimedia.org/wiki/Special:FilePath/Andr%C3%A9%20Marchand%20-%20Les%20premi%C3%A8res%20armes%20de%20Marbot.jpg>                                                                 |
| Les premières armes de Marbot (wd:Q110937344)    | André Marchand (wd:Q53048343)   | D960.11.1       | <http://commons.wikimedia.org/wiki/Special:FilePath/Andr%C3%A9%20Marchand%20-%20Les%20premi%C3%A8res%20armes%20de%20Marbot.jpg>                                                                 |
| wd:Q132643629                                    | Jean Urvoy (wd:Q14637437)       | 2021.2.97       | <http://commons.wikimedia.org/wiki/Special:FilePath/Acrobates%20%C3%A0%20la%20corde.jpg>                                                                                |
| wd:Q132643841                                    | Jean Urvoy (wd:Q14637437)       | 2021.2.96       | <http://commons.wikimedia.org/wiki/Special:FilePath/La%20caissi%C3%A8re.jpg>                                                                                |
| wd:Q132643889                                    | Jean Urvoy (wd:Q14637437)       | 2021.2.30       | <http://commons.wikimedia.org/wiki/Special:FilePath/Sans%20titre%20-%20Bois%20grav%C3%A9%20repr%C3%A9sentant%20deux%20halt%C3%A9rophiles%20et%20un%20clown.jpg>                                 |
| ...                                              | ...                             | ...             | ...                                                                                |
| Kelp-burning at the Pointe du Raz (wd:Q26771511) | Georges Clairin (wd:Q1398223)   | 65              | <http://commons.wikimedia.org/wiki/Special:FilePath/Les%20br%C3%BBleuses%20de%20varech%20-%20Georges%20Clairin%20-%20mus%C3%A9e%20d%27art%20et%20d%27histoire%20de%20Saint-Brieuc%2C%2065b.jpg> |
| wd:Q42119623                                     | Maurice Asselin (wd:Q3300327)   | D 269           |                                                                                |
| wd:Q42119623                                     | Maurice Asselin (wd:Q3300327)   | DOC D 269       |                                                                                |
| Tête de vieille (wd:Q43306232)                   | Albert Durand (wd:Q43305120)    | 116             | <http://commons.wikimedia.org/wiki/Special:FilePath/Tete-de-vieille-albert-durand-musee-d-art-et-d-histoire-de-saint-brieuc-doc-116-cropped.jpg>                                                |
| Paysage, Sucy-en-Brie (wd:Q43306235)             | Henri Dutzschold (wd:Q43305207) | 124             | <http://commons.wikimedia.org/wiki/Special:FilePath/Paysage-sucy-en-brie-henri-dutzschold-musee-d-art-et-d-histoire-de-saint-brieuc-doc-124-cropped.jpg>                                        |

[Assistant] I retrieved 20 items from the Musée d'art et d'histoire de Saint-Brieuc with their creators, inventory numbers, and images. Now I will find the places of birth of these creators and check if they are in Brittany (wd:Q1243). I will do this for the creators found in the previous query.

[Tool] Got no rows and 4 columns

[Assistant] None of the creators from the sample items have a place of birth located in Brittany according to the data. I will now combine the information from the two queries into a final query that retrieves items, their creators, the creators' places of birth (if in Brittany), inventory numbers, and images. I will include labels for better readability but keep the query limited to 20 items to avoid memory issues.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is logically structured to retrieve the requested information, including items in the museum's collection, their creators, creators' birthplaces in Brittany, inventory numbers, and images. However, the query execution failed due to memory limitations, likely caused by the use of the property path wdt:P131* which can be very expensive in terms of resources. Also, the entity used for Brittany is incorrect (wd:Q1243 is Veneto, a region in Italy, not Brittany). The correct Wikidata entity for Brittany is wd:Q1244. To fix this, replace wd:Q1243 with wd:Q1244 and consider limiting or optimizing the property path to reduce memory usage. For example, avoid using the transitive closure operator '*' or replace it with a more specific pattern. Additionally, ensure that the query returns the actual identifiers as required and that labels are optional. Please revise and retry the query.

[Assistant] Thank you for the feedback. I will correct the entity for Brittany to wd:Q1244 and avoid using the transitive closure operator "*" for the administrative territorial entity property (wdt:P131) to reduce memory usage. Instead, I will check only one or two levels of administrative territorial entities to see if the birthplace is directly or indirectly located in Brittany. I will revise the query accordingly and limit the results to 20 items.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves up to 20 items from the collection of the Musée d'art et d'histoire de Saint-Brieuc, including their creators, the creators' places of birth if located in Brittany or its administrative subdivisions, inventory numbers, and images if available. The query respects the requirement to return actual identifiers and uses appropriate optional clauses to include additional information without excluding items missing some data. The filtering on the birthplace is well-constructed to cover Brittany and its administrative levels without using expensive property paths. The answer is complete, relevant, and well-structured for the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?constituency ?constituencyLabel ( COUNT( DISTINCT ?member ) AS ?actualNumberOfSeats ) ( MAX( ?numberOfSeats ) AS ?expectedNumberOfSeats ) WHERE {
  ?member wdt:P39 wd:Q41582584 ; wdt:P768 ?constituency .
  OPTIONAL {
    ?constituency wdt:P1342 ?numberOfSeats .
  }
  OPTIONAL {
    ?constituency rdfs:label ?constituencyLabel FILTER ( LANG( ?constituencyLabel ) = "en" )
  }
}
GROUP BY ?constituency ?constituencyLabel
HAVING ( COUNT( DISTINCT ?member ) > 1 )
ORDER BY DESC ( ?actualNumberOfSeats )
LIMIT 20

There are no constituencies with actual number of seats greater than 1 for members of the 32nd Parliament of the United Kingdom in the available Wikidata data. The expected number of seats property is also not available for these constituencies. Therefore, no constituencies meet the criteria specified in the question based on the current 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 constituencies for elected members of the 32nd Parliament of the United Kingdom, along with the expected number of seats (if available) and the actual number of seats? Only include constituencies where the actual number of seats is greater than 1.

[Assistant]
To answer this question, I need to identify the 32nd Parliament of the United Kingdom and then find the constituencies for its elected members. I also need to find the expected number of seats and the actual number of seats for each constituency, filtering to include only those constituencies where the actual number of seats is greater than 1.

Step 1: Identify the entity for the 32nd Parliament of the United Kingdom.
Step 2: Find the constituencies associated with elected members of this Parliament.
Step 3: Retrieve the expected number of seats and the actual number of seats for these constituencies.
Step 4: Filter the results to include only constituencies where the actual number of seats is greater than 1.

I will start by searching for the entity of the 32nd Parliament of the United Kingdom.

[Tool]
Top 10 entity alternatives:
1. 32nd Parliament of the United Kingdom, also known as 1922-1923 Parliament, 32nd UK Parliament (wd:Q21084449): Parliament of the United Kingdom, 1922-1923
2. member of the 32nd Parliament of the United Kingdom (wd:Q41582584)
3. 1st session of the 32nd Parliament of the United Kingdom (wd:Q108997479)
4. 2nd session of the 32nd Parliament of the United Kingdom (wd:Q108997478)
5. Parliament of the United Kingdom, also known as British Parliament, Westminster, United Kingdom Parliament, UK Parliament, U.K. Parliament (wd:Q11010): supreme legislative body of the United Kingdom
6. Parliament of Great Britain, also known as British Parliament, Parliament of the United Kingdom of Great Britain, Parliament of the United Kingdom (wd:Q2739604): United English and Scottish parliament 1707–1800
7. Member of Parliament, also known as UK MP, MP, member of the United Kingdom parliament, member of the UK parliament, member of the House of Commons (wd:Q16707842): representative in the House of Commons of the Parliament of the United Kingdom
8. Act of the Parliament of the United Kingdom, also known as Act of the United Kingdom Parliament, United Kingdom Act of Parliament, Act of Parliament of the United Kingdom (wd:Q4677783): primary legislation in the United Kingdom
9. Dissolution of the Parliament of the United Kingdom (wd:Q5282804): British parliamentary procedure
10. 1st Parliament of the United Kingdom, also known as 1801-1802 Parliament, 1st UK Parliament (wd:Q21084405): Parliament of the United Kingdom, 1801–1802

[Assistant] The entity for the 32nd Parliament of the United Kingdom is wd:Q21084449. Next, I will find the constituencies for elected members of this Parliament along with the expected number of seats and the actual number of seats. I will also filter to include only constituencies where the actual number of seats is greater than 1. I will start by exploring the properties related to this Parliament entity to find relevant information about constituencies and seats.

[Tool]
Got 120 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property                      | object                                                                   |
| ---------------------------------------------------- | ----------------------------- | ------------------------------------------------------------------------ |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | instance of (wdt:P31)         | parliamentary term in the United Kingdom (wd:Q21094819)                  |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | part of (wdt:P361)            | Parliament of the United Kingdom (wd:Q11010)                             |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | has part(s) (wdt:P527)        | 2nd session of the 32nd Parliament of the United Kingdom (wd:Q108997478) |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | follows (wdt:P155)            | 31st Parliament of the United Kingdom (wd:Q21084448)                     |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | followed by (wdt:P156)        | 33rd Parliament of the United Kingdom (wd:Q21084450)                     |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | start time (wdt:P580)         | 1922-11-23T00:00:00Z (xsd:dateTime)                                      |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | end time (wdt:P582)           | 1923-11-16T00:00:00Z (xsd:dateTime)                                      |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | number of seats (wdt:P1342)   | 615 (xsd:decimal)                                                        |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | UK Parliament ID (wdtn:P6213) | <https://id.parliament.uk/rVkNDAZZ>                                      |
| 32nd Parliament of the United Kingdom (wd:Q21084449) | wdt:P31279                    | legislative term (wd:Q15238777)                                          |
| ...                                                  | ...                           | ...                                                                      |

[Assistant]
The 32nd Parliament of the United Kingdom (wd:Q21084449) has a property "number of seats" (wdt:P1342) with a value of 615, which is the total number of seats. However, I need to find the constituencies for elected members and the expected and actual number of seats per constituency.

I will now search for members of the 32nd Parliament of the United Kingdom to see if they have properties linking them to constituencies and seat counts. I will start by searching for members of this Parliament.

[Tool]
Top 10 entity alternatives:
1. member of the 32nd Parliament of the United Kingdom (wd:Q41582584)
2. Member of Parliament, also known as UK MP, MP, member of the United Kingdom parliament, member of the UK parliament, member of the House of Commons (wd:Q16707842): representative in the House of Commons of the Parliament of the United Kingdom
3. 32nd Parliament of the United Kingdom, also known as 1922-1923 Parliament, 32nd UK Parliament (wd:Q21084449): Parliament of the United Kingdom, 1922-1923
4. member of the 45th Parliament of the United Kingdom (wd:Q41582612)
5. member of the 46th Parliament of the United Kingdom (wd:Q41582615)
6. member of the 47th Parliament of the United Kingdom (wd:Q41582617)
7. member of the 48th Parliament of the United Kingdom (wd:Q41582619)
8. member of the 49th Parliament of the United Kingdom (wd:Q41582621)
9. member of the 50th Parliament of the United Kingdom (wd:Q41582624)
10. member of the 51st Parliament of the United Kingdom (wd:Q41582627)

[Assistant] The entity for "member of the 32nd Parliament of the United Kingdom" is wd:Q41582584. Next, I will explore the properties of this entity to find links to constituencies and seat counts.

[Tool]
Got 105 rows and 3 columns, showing the first 10 rows below:
| subject                                                            | property                                           | object                                                             |
| ------------------------------------------------------------------ | -------------------------------------------------- | ------------------------------------------------------------------ |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | instance of (wdt:P31)                              | position (wd:Q4164871)                                             |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | country (wdt:P17)                                  | United Kingdom (wd:Q145)                                           |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | subclass of (wdt:P279)                             | Member of Parliament (wd:Q16707842)                                |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | inception (wdt:P571)                               | 1922-11-15T00:00:00Z (xsd:dateTime)                                |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | follows (wdt:P155)                                 | member of the 31st Parliament of the United Kingdom (wd:Q41582582) |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | followed by (wdt:P156)                             | member of the 33rd Parliament of the United Kingdom (wd:Q41582585) |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | on focus list of Wikimedia project (wdt:P5008)     | WikiProject Q68235346 (wd:Q68235346)                               |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | applies to jurisdiction (wdt:P1001)                | United Kingdom (wd:Q145)                                           |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | topic's main category (wdt:P910)                   | wd:Q8852972                                                        |
| member of the 32nd Parliament of the United Kingdom (wd:Q41582584) | dissolved, abolished or demolished date (wdt:P576) | 1923-11-16T00:00:00Z (xsd:dateTime)                                |
| ...                                                                | ...                                                | ...                                                                |

[Assistant]
The entity "member of the 32nd Parliament of the United Kingdom" (wd:Q41582584) is a position and does not directly provide information about constituencies or seat counts.

I will try a different approach: I will search for the property "constituency" to see if it is used in the context of members of the UK Parliament. Then I will try to find members of the 32nd Parliament with their constituencies and seat counts.

[Tool]
Top 10 property alternatives:
1. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)
2. associated electoral district, also known as associated constituency, located in the constituency, located in electoral district, constituency associated with place, electoral district associated with place (wd:P7938 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): constituencies/electoral districts in which a place is located o...inct from administrative entities (P131) in predefined countries
3. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject currently or formerly holds the object position or public office
4. number of constituencies, also known as num_constituencies (wd:P4253 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of constituencies related to a legislative body
5. electoral district number, also known as district number (wd:P4565 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of the constituency/electoral district established by law...ch lack legal force, even if contained in a government database.
6. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person(s) or political organization(s) elected after the election, candidate, winner
7. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
8. represented by, also known as agent, managed by, manager, managing agent, rep (wd:P1875 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or agency that represents or manages the subject
9. political coalition, also known as electoral block, political bloc, political alliance, electoral list, electoral alliance (wd:P5832 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): agreement for cooperation between different political parties, member of
10. candidate, also known as candidate in this election, has election candidate, electoral candidate, election has candidate (wd:P726 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or party that is an option for an office in this election, participant

[Assistant]
The property "electoral district" (wdt:P768) is used to indicate the electoral district or constituency a person is representing. This is likely the property to use to find constituencies for members of the 32nd Parliament.

Next, I will find members of the 32nd Parliament of the United Kingdom and their associated constituencies using the property "electoral district" (wdt:P768). Then I will try to find properties related to the expected and actual number of seats for these constituencies.

[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 endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional clauses to get the labels for members and constituencies.

[Tool]
Got 2 rows and 4 columns:
| member                      | memberLabel         | constituency                   | constituencyLabel     |
| --------------------------- | ------------------- | ------------------------------ | --------------------- |
| Clement Attlee (wd:Q129006) | Clement Attlee (en) | Limehouse (wd:Q6549174)        | Limehouse (en)        |
| Clement Attlee (wd:Q129006) | Clement Attlee (en) | Walthamstow West (wd:Q7966639) | Walthamstow West (en) |

[Assistant]
I found members of the 32nd Parliament of the United Kingdom and their constituencies. For example, Clement Attlee was a member representing Limehouse and Walthamstow West constituencies.

Next, I need to find the expected number of seats and the actual number of seats for these constituencies. I will search for properties related to "expected number of seats" and "actual number of seats" for constituencies.

[Tool]
Top 10 property alternatives:
1. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total number of seats/members in an assembly (legislative house or similar)
2. number of seats in assembly, also known as number of delegates, number of representatives, number of seats, seats (wd:P1410 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of seats a political party, faction, or group has in a given assembly
3. maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of people allowed for a venue or vehicle
4. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of entities that are part of an organization at a particular time
5. number of aid beneficiaries, also known as number of aid recipients, number of beneficiaries, number of people reached, people reached (wd:P9077 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of people reached with international aid programmes, acti...ctivities. Qualify with "point in time" (P585) where appropriate
6. ballots cast, also known as total vote count, total votes, turnout (wd:P1868 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total number of ballot(s) cast, including invalid or blank ballots
7. group cardinality, also known as cardinality of the group, group order, group size (wd:P1164 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of elements in a finite group in mathematics
8. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)
9. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): seat of government of a country, province, state or other type of administrative territorial entity
10. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place

[Assistant]
The property "number of seats" (wdt:P1342) seems to be the relevant property for the number of seats in an assembly or constituency. I will now try to find the expected and actual number of seats for constituencies related to the 32nd Parliament.

I will write a query to get constituencies for members of the 32nd Parliament along with the number of seats for each constituency. Then I will filter to include only constituencies where the number of seats is greater than 1.

[Tool] Got no rows and 3 columns

[Assistant]
There are no constituencies with the property "number of seats" (wdt:P1342) having a value greater than 1 for members of the 32nd Parliament of the United Kingdom.

I will try a different approach to find the actual number of seats for constituencies by checking if there are any properties related to "actual number of seats" or similar for constituencies. I will also check if there is a property for the expected number of seats.

[Tool]
Top 10 property alternatives:
1. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total number of seats/members in an assembly (legislative house or similar)
2. number of seats in assembly, also known as number of delegates, number of representatives, number of seats, seats (wd:P1410 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of seats a political party, faction, or group has in a given assembly
3. maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of people allowed for a venue or vehicle
4. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of entities that are part of an organization at a particular time
5. number of constituencies, also known as num_constituencies (wd:P4253 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of constituencies related to a legislative body
6. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): seat of government of a country, province, state or other type of administrative territorial entity
8. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
9. total valid votes, also known as formal votes, valid votes (wd:P1697 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): vote count for the elections (excluding invalid votes)
10. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject currently or formerly holds the object position or public office

[Tool]
Top 10 property alternatives:
1. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total number of seats/members in an assembly (legislative house or similar)
2. number of seats in assembly, also known as number of delegates, number of representatives, number of seats, seats (wd:P1410 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of seats a political party, faction, or group has in a given assembly
3. maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of people allowed for a venue or vehicle
4. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of entities that are part of an organization at a particular time
5. number of aid beneficiaries, also known as number of aid recipients, number of beneficiaries, number of people reached, people reached (wd:P9077 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of people reached with international aid programmes, acti...ctivities. Qualify with "point in time" (P585) where appropriate
6. ballots cast, also known as total vote count, total votes, turnout (wd:P1868 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total number of ballot(s) cast, including invalid or blank ballots
7. group cardinality, also known as cardinality of the group, group order, group size (wd:P1164 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of elements in a finite group in mathematics
8. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)
9. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): seat of government of a country, province, state or other type of administrative territorial entity
10. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place

[Assistant]
The property "number of seats" (wdt:P1342) is the closest match for both expected and actual number of seats. It seems there is no direct distinction between expected and actual number of seats in Wikidata for constituencies.

I will now try to find constituencies with multiple members in the 32nd Parliament to infer actual number of seats greater than 1 by counting members per constituency. I will also include the number of seats property if available.

[Tool] Got no rows and 4 columns

[Assistant]
There are no constituencies with more than one member in the 32nd Parliament of the United Kingdom according to the data available in Wikidata.

It seems that the data for constituencies with actual number of seats greater than 1 for the 32nd Parliament is not available or not modeled in a way that can be queried directly.

I will provide a summary of the findings and the limitations in the answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that there are no constituencies with an actual number of seats greater than 1 for members of the 32nd Parliament of the United Kingdom in the current Wikidata data. The SPARQL query is well-constructed, accurately counting distinct members per constituency and filtering for those with more than one seat. It also attempts to retrieve the expected number of seats where available. Since the query returned no results, the answer appropriately reflects the data. No further refinement is necessary unless new data becomes available.