PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?human WHERE {
  {
    SELECT ?placeOfBirth WHERE {
      VALUES ?root {
        wd:Q408
      }
      ?root wdt:P150 * ?placeOfBirth .
    }
  }
  ?human wdt:P31 wd:Q5 .
  ?human wdt:P19 ?placeOfBirth .
  FILTER NOT EXISTS {
    ?human wdt:P21 ?gender
  }
}

The following humans were born in Australia or in any administrative territorial entity within Australia and do not have a specified sex or gender: Ingrid Alesich (wd:Q124343262), Ruby 嫦潔 White (wd:Q128659892), Jane Stanley (wd:Q130538170), and wd:Q61059979.

[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]
Let's break down the question:

1. We are looking for humans (instances of "human").
2. Their place of birth should be either Australia or any administrative territorial entity within Australia.
3. They do not have a specified sex or gender.

Step 1: Find the entity for "human".
Step 2: Find the entity for "Australia".
Step 3: Find the property for "place of birth".
Step 4: Find the property for "sex or gender".
Step 5: Find the property for "administrative territorial entity".
Step 6: Find all administrative territorial entities within Australia.
Step 7: Construct a query to find humans born in Australia or its administrative territorial entities, who do not have a specified sex or gender.

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

[Tool]
Top 10 entity alternatives:
1. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
2. Homo sapiens, also known as human beings, human, men, human being, humans (wd:Q15978631): species of mammal
3. Homo sapiens, also known as men, man, humans, human beings, human being (wd:Q15978631): species of mammal
4. Uman, also known as Humań (wd:Q208499): city in Cherkasy Oblast in central Ukraine
5. Human (wd:Q849189): 1991 album by Death
6. Human (wd:Q919463): 2008 song by The Killers
7. Human Entertainment, also known as Human, Human Corporation (wd:Q2408214): Japanese video game developer and publisher
8. Human (wd:Q20629223): 2015 film by Yann Arthus-Bertrand
9. Human (wd:Q27921626): 2016 song by Rag'n'Bone Man
10. Human (wd:Q735359): 2008 studio album by Brandy

[Assistant]
The entity for "human" is wd:Q5.

Next, let's find 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 "Australia" (the country) is wd:Q408.

Now, let's find the property for "place of birth".

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property for "place of birth" is wdt:P19.

Next, let's find the property for "sex or gender".

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology

[Assistant]
The property for "sex or gender" is wdt:P21.

Now, let's find the property for "administrative territorial entity" and how to get all such entities within Australia.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
5. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)
6. LAU, also known as local administrative unit (wd:P782 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): seat of government of a country, province, state or other type of administrative territorial entity
8. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
10. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with

[Assistant]
The property "contains the administrative territorial entity" (wdt:P150) can be used to find subdivisions of Australia. "Located in the administrative territorial entity" (wdt:P131) can be used to check if a place is within another entity.

To get all administrative territorial entities within Australia, we can recursively traverse wdt:P150 starting from wd:Q408 (Australia).

Now, let's check how to identify humans who do not have a specified sex or gender. In Wikidata, this means there is no wdt:P21 triple for the human.

Let's try to construct a query that:
- Selects all humans (wd:Q5)
- Whose place of birth (wdt:P19) is either Australia (wd:Q408) or any entity contained within Australia (using wdt:P150 recursively)
- Who do not have a wdt:P21 (sex or gender) property

First, let's check how to get all administrative territorial entities within Australia using wdt:P150.

[Tool]
Got 20 rows and 1 column, showing the first 5 and last 5 rows below:
| subdivision                                 |
| ------------------------------------------- |
| Jervis Bay Territory (wd:Q15577)            |
| Coral Sea Islands (wd:Q172216)              |
| Australian Antarctic Territory (wd:Q178994) |
| Norfolk Island (wd:Q31057)                  |
| Shire of Capel (wd:Q1034526)                |
| ...                                         |
| Milne (wd:Q66119414)                        |
| Barossa (wd:Q48791988)                      |
| District Council of Cleve (wd:Q278050)      |
| Cairnlea (wd:Q5017696)                      |
| Winninowie (wd:Q64684323)                   |

[Assistant]
The recursive use of wdt:P150* starting from Australia (wd:Q408) successfully retrieves all administrative territorial entities within Australia.

Now, let's combine this with the "place of birth" property. We want humans whose place of birth is either:
- Australia (wd:Q408)
- Any entity that is a subdivision of Australia (using wdt:P150*)

Additionally, we want to filter for humans who do not have a specified sex or gender (i.e., no wdt:P21 triple).

Let's construct the full SPARQL query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 131 for token PNAME_LN with content 'wdt:P150' (the input most likely does not follow the grammar)

[Assistant]
The error occurred because property paths like "wd:Q408 wdt:P150* ?placeOfBirth" are not allowed in FILTER clauses. Instead, we need to use a UNION or VALUES approach, or use a subquery to collect all relevant places.

Let's first get all entities that are either Australia or a subdivision of Australia, and then use those as possible values for place of birth.

I'll try a subquery to collect all relevant places, then select humans born in any of those places, and who do not have a specified sex or gender.

[Tool]
Got 4 rows and 1 column:
| human                          |
| ------------------------------ |
| Ingrid Alesich (wd:Q124343262) |
| Ruby 嫦潔 White (wd:Q128659892)  |
| Jane Stanley (wd:Q130538170)   |
| wd:Q61059979                   |

[Tool]
Got 4 rows and 2 columns:
| human                          | humanLabel          |
| ------------------------------ | ------------------- |
| Ingrid Alesich (wd:Q124343262) | Ingrid Alesich (en) |
| Ruby 嫦潔 White (wd:Q128659892)  | Ruby 嫦潔 White (en)  |
| Jane Stanley (wd:Q130538170)   | Jane Stanley (en)   |
| wd:Q61059979                   |                     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies humans (wd:Q5) born in Australia (wd:Q408) or any of its administrative territorial entities (using wdt:P150* for recursive subdivision traversal) who do not have a specified sex or gender (absence of wdt:P21). The query returns the IRIs of the matching items, as required. The answer matches the query result. No further refinement is necessary.


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?year ?passengers WHERE {
  wd:Q223416 p:P3872 ?statement .
  ?statement wikibase:rank wikibase:NormalRank .
  ?statement ps:P3872 ?passengers .
  OPTIONAL {
    ?statement pq:P585 ?year .
  }
}
ORDER BY DESC ( ?year )
LIMIT 50

For the most recent year (2023), the patronage statement for Orly Airport does not have an attached reference in the data currently available.

Here is an optimized query that will efficiently return the yearly patronage statistics for Orly Airport, including the year and number of passengers, for the most recent 50 years, excluding deprecated statements. This query is efficient and generalizable:

```sparql
SELECT ?year ?passengers WHERE {
  wd:Q223416 p:P3872 ?statement .
  ?statement wikibase:rank wikibase:NormalRank .
  ?statement ps:P3872 ?passengers .
  OPTIONAL { ?statement pq:P585 ?year . }
}
ORDER BY DESC(?year)
LIMIT 50
```

If you want to retrieve references for a specific year, you can do so by first identifying the statement for that year and then querying for its references, as demonstrated above.

Summary:
- The optimized query above will return the year and number of passengers for Orly Airport's yearly patronage, efficiently and without memory issues.
- Reference retrieval should be done per statement/year as needed, due to endpoint resource constraints.
- For 2023, no reference is currently attached in Wikidata.

If you need the query for a specific year with references, let me know!

[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]
Let's break down the question:

1. We need the entity for Orly Airport.
2. We need the property for yearly patronage statistics (number of passengers per year).
3. For each statistic, we want: year, number of passengers, reference type, and reference.
4. We must exclude deprecated statements.

Step 1: Find the entity for Orly Airport.

[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 correct entity for Orly Airport is wd:Q223416.

Next, let's find the property for yearly patronage statistics, specifically the number of passengers per year. I'll search for properties related to "passenger statistics" or "number of passengers."

[Tool]
Top 10 property alternatives:
1. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): owner of the subject
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
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 wdt/p): 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" (wd:P3872) is used for the number of passengers, visitors, or users in a specified time period. This is the property we need.

Next, let's check how this property is used for Orly Airport, and see if qualifiers (such as the year) and references (including reference type and reference) are present.

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

[Assistant]
The direct property wdt:P3872 gives us only the number of passengers, not the qualifiers (year) or references. To access qualifiers and references, we need to use the full statement property p:P3872.

Let's list the full statements for Orly Airport and patronage (p:P3872) to see what qualifiers and references are available.

[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]
Each patronage statement is represented as a statement node (e.g., s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2). To get the year, number of passengers, reference type, and reference, we need to:

- Get the value (ps:P3872) for number of passengers.
- Get the qualifier for year (likely P585 or similar).
- Get the references (prov:wasDerivedFrom) and their types.

Let's check what qualifiers and references are attached to one of these statement nodes.

[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]
From the statement node, we see:

- Number of passengers: ps:P3872
- Year: pq:P585 (point in time)
- Reference: prov:wasDerivedFrom → reference node (e.g., ref:3948a30d10e9d6b457475243680cacb1c7465f31)
- Rank: wikibase:rank (should be wikibase:NormalRank for non-deprecated)

Next, let's see what properties are attached to the reference node to find the reference type and reference.

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                                |
| -------------------------------------------- | ----------------------- | --------------------------------------------------------------------------------------------------------------- |
| ref:3948a30d10e9d6b457475243680cacb1c7465f31 | reference URL (pr:P854) | <https://www.parisaeroport.fr/docs/default-source/groupe-fichiers/finance/traffic-sheet.xlsx?sfvrsn=2cb6e9bd_8> |
| ref:3948a30d10e9d6b457475243680cacb1c7465f31 | rdf:type                | wikibase:Reference                                                                                |

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                                |
| -------------------------------------------- | ----------------------- | --------------------------------------------------------------------------------------------------------------- |
| ref:3948a30d10e9d6b457475243680cacb1c7465f31 | reference URL (pr:P854) | <https://www.parisaeroport.fr/docs/default-source/groupe-fichiers/finance/traffic-sheet.xlsx?sfvrsn=2cb6e9bd_8> |
| ref:3948a30d10e9d6b457475243680cacb1c7465f31 | rdf:type                | wikibase:Reference                                                                                |

[Assistant]
The reference node contains:

- reference URL (pr:P854): the actual reference link.
- rdf:type: wikibase:Reference (not very informative for "type", but sometimes other properties like stated in (P248) or publication type may be present).

To be thorough, let's check what other properties are used in references for other patronage statements.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                      | property                | object                                                                                |
| -------------------------------------------- | ----------------------- | ---------------------------------------------------------------------------------------------- |
| ref:0000000818b51fe76d2b768c9313a19b5baa150a | reference URL (pr:P854) | <https://sig.bps.go.id/bridging-kode/>                                                         |
| ref:0000001d0665ee8ab522cd996160e8b47e17955e | reference URL (pr:P854) | <https://api.crossref.org/works/10.1037/met0000659>                                            |
| ref:00000036d82bd0ebbe0b2cc683e30ea4ca9aaf27 | reference URL (pr:P854) | <https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0021503>                                |
| ref:0000004287c6cc528445db58c91512b887feb162 | reference URL (pr:P854) | <https://pubmed.ncbi.nlm.nih.gov/30323184>                                                     |
| ref:000000502fc74655a29d62885249684314924625 | reference URL (pr:P854) | <https://septuaginta.uni-goettingen.de/catalogue/Ra_8003>                                      |
| ref:0000009cefa58e097c51ce29e532f72161c6bf88 | reference URL (pr:P854) | <https://pubmed.ncbi.nlm.nih.gov/23531152>                                                     |
| ref:0000010f92e72be1e4bac450108ee78153f2a3c7 | reference URL (pr:P854) | <https://museefabre.montpellier3m.fr/recherche/musee%3AMUS_BIEN%3A4105>                        |
| ref:000001180209f6ddd139c86e2ecdae2686bcac83 | reference URL (pr:P854) | <https://api.crossref.org/works/10.1016/0002-9378(92)91552-L>                                  |
| ref:0000011d0b23076f8b9bd0b1963b35e71b7557a6 | reference URL (pr:P854) | <https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&retmode=json&id=707185> |
| ref:000001471ba3506c7e3acdc2ec04e231ff540c85 | reference URL (pr:P854) | <http://www.barbiemedia.com/about-barbie/fast-facts.html>                                      |
| ...                                          | ...                     | ...                                                                                |

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                      | property            | object                              |
| -------------------------------------------- | ------------------- | ----------------------------------- |
| ref:00113b8fbc8e25be93f08eab80ab1c2030fee73d | stated in (pr:P248) | Singapore (wd:Q334)                 |
| ref:0017715375b46e408d641c5f3c8d2facb93f83ea | stated in (pr:P248) | YouTube (wd:Q866)                   |
| ref:0004445b5854342f5c8e5a1a428121ba4372248c | stated in (pr:P248) | New Jersey (wd:Q1408)               |
| ref:0011081ff29bc16f0bb9648391a47f5921aa2c74 | stated in (pr:P248) | X (wd:Q918)                         |
| ref:000f3a905fc1e5eea68a3f3e7dadcb9d3e7a651c | stated in (pr:P248) | Wikimedia Commons (wd:Q565)         |
| ref:000c1f7f7c81e92f57817bc5f9f07ab06e72979a | stated in (pr:P248) | Instagram (wd:Q209330)              |
| ref:0000119c6b244a8feb2fe48633e1fc7e919e784b | stated in (pr:P248) | Internet Movie Database (wd:Q37312) |
| ref:000ccd15377198eb02a012427f797307adfd5b0b | stated in (pr:P248) | Fukuoka (wd:Q26600)                 |
| ref:000db01224e39b0fec1808411d7082032a497594 | stated in (pr:P248) | Encyclopædia Britannica (wd:Q455)   |
| ref:00024b815be327b408a009abd3b39872c9bc8ce1 | stated in (pr:P248) | The Guardian (wd:Q11148)            |
| ...                                          | ...                 | ...                                 |

[Assistant]
References can have "reference URL" (pr:P854) and/or "stated in" (pr:P248) as reference type. We should retrieve both if present.

Now, let's construct a SPARQL query to get, for each non-deprecated patronage statement for Orly Airport:
- The year (from pq:P585)
- The number of passengers (from ps:P3872)
- The reference type (either "reference URL" or "stated in")
- The reference value (the URL or the entity)

We will filter for wikibase:NormalRank to exclude deprecated statements.

Here's the query:

[Tool]
SPARQL execution failed:
Tried to allocate 10.2 GB, but only 9.8 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory constraints, likely because Orly Airport has a large number of patronage statements. To reduce memory usage, let's limit the results and only retrieve the most essential information first (year, passengers, reference type, reference), then refine further if needed.

I'll add a LIMIT and order by year descending to get recent years first.

[Tool]
SPARQL execution failed:
Tried to allocate 10.2 GB, but only 9.8 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
Even with a LIMIT, the query still exceeds memory limits. To further reduce the result size, I'll try retrieving only the statement IRIs and years first, then sample a few statements to get their references and passenger numbers. This stepwise approach should help us avoid memory issues.

Let's first get the statement IRIs and years for Orly Airport's patronage statements (non-deprecated), limited to 20 results.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| statement                                      | year                                |
| ---------------------------------------------- | ----------------------------------- |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | 2023-01-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | 2021-01-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-A68BFC29-D9DE-4FA5-845D-7DA462F4748E | 2021-01-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-06DA4721-768A-4234-92F8-2B8611EB0B3E | 2020-12-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-7476DC73-4F08-40B9-BFD3-9E8F1BC1E56B | 2020-11-01T00:00:00Z (xsd:dateTime) |
| ...                                            | ...                                 |
| s:Q223416-C06592CA-E958-4AFA-A653-5AFB448808F6 | 2020-01-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-1E2EDC91-32BE-46F8-BB60-DFB7FFCDAE85 | 2020-01-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-1437AB72-3298-4553-87A8-3310504AAFCB | 2019-12-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-A7E37A9C-4C0B-422E-AEAA-116D054895AA | 2019-11-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-20B5D095-1F7B-46C5-AF34-9A0266C4E26E | 2019-10-01T00:00:00Z (xsd:dateTime) |

[Assistant]
Now we have 20 statement IRIs and their years. Next, let's retrieve for these statements:
- Number of passengers (ps:P3872)
- Reference type and reference (pr:P854 or pr:P248)

I'll use VALUES to restrict the query to these statement IRIs, which should keep the result set manageable.

[Tool]
SPARQL execution failed:
Tried to allocate 10.2 GB, but only 9.5 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
Even with a restricted VALUES clause, the query still exceeds memory limits, likely due to the complexity of the OPTIONAL patterns and the number of references per statement.

To further reduce complexity, I'll try retrieving only the number of passengers and year for these statements, and then separately query references for a single statement as an example. This will demonstrate the structure and allow you to reconstruct the full dataset in smaller batches.

First, let's get the number of passengers and year for the 20 statements.

[Tool]
Got 18 rows and 3 columns, showing the first 5 and last 5 rows below:
| statement                                      | year                                | passengers             |
| ---------------------------------------------- | ----------------------------------- | ---------------------- |
| s:Q223416-007FDDBC-7B14-4674-885C-E67DC6CBCBD2 | 2005-01-01T00:00:00Z (xsd:dateTime) | 24860532 (xsd:decimal) |
| s:Q223416-03EC0AB5-AD65-455A-9042-70D77A1C5198 | 2018-06-01T00:00:00Z (xsd:dateTime) | 2937807 (xsd:decimal)  |
| s:Q223416-04D534DF-15AE-4D40-8F8C-EC28144B8312 | 2011-01-01T00:00:00Z (xsd:dateTime) | 27099908 (xsd:decimal) |
| s:Q223416-06B445D1-2333-49ED-9AFF-9A7792AE7965 | 2018-07-01T00:00:00Z (xsd:dateTime) | 3243535 (xsd:decimal)  |
| s:Q223416-06DA4721-768A-4234-92F8-2B8611EB0B3E | 2020-12-01T00:00:00Z (xsd:dateTime) | 834746 (xsd:decimal)   |
| ...                                            | ...                                 | ...                    |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | 2021-01-01T00:00:00Z (xsd:dateTime) | 15720809 (xsd:decimal) |
| s:Q223416-7476DC73-4F08-40B9-BFD3-9E8F1BC1E56B | 2020-11-01T00:00:00Z (xsd:dateTime) | 357872 (xsd:decimal)   |
| s:Q223416-A68BFC29-D9DE-4FA5-845D-7DA462F4748E | 2021-01-01T00:00:00Z (xsd:dateTime) | 15724580 (xsd:decimal) |
| s:Q223416-A7E37A9C-4C0B-422E-AEAA-116D054895AA | 2019-11-01T00:00:00Z (xsd:dateTime) | 2271098 (xsd:decimal)  |
| s:Q223416-C06592CA-E958-4AFA-A653-5AFB448808F6 | 2020-01-01T00:00:00Z (xsd:dateTime) | 2317884 (xsd:decimal)  |

[Tool]
Got 7 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | point in time (pq:P585)  | 2021-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | patronage (ps:P3872)     | 15720809 (xsd:decimal)                       |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | wikibase:rank            | wikibase:NormalRank                          |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | rdf:type                 | wikibase:Statement                           |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | prov:wasDerivedFrom      | ref:066b7eca40b917b2089c634e798a0c7220c3df10 |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | point in time (pqv:P585) | v:068defc300d06ed22eb72f44c2fe8914           |
| s:Q223416-521E40AE-C3CF-4554-A0C1-036F0FB2473D | patronage (psv:P3872)    | v:e116f0af7f4ed49a129c90f9f93a70b7           |

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                    |
| -------------------------------------------- | ----------------------- | ------------------------------------------------------------------------- |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | reference URL (pr:P854) | <https://www.ecologie.gouv.fr/sites/default/files/Bulletin_Stat_2021.pdf> |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | rdf:type                | wikibase:Reference                                                        |

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                    |
| -------------------------------------------- | ----------------------- | ------------------------------------------------------------------------- |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | reference URL (pr:P854) | <https://www.ecologie.gouv.fr/sites/default/files/Bulletin_Stat_2021.pdf> |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | rdf:type                | wikibase:Reference                                                        |

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                    |
| -------------------------------------------- | ----------------------- | ------------------------------------------------------------------------- |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | reference URL (pr:P854) | <https://www.ecologie.gouv.fr/sites/default/files/Bulletin_Stat_2021.pdf> |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | rdf:type                | wikibase:Reference                                                        |

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                    |
| -------------------------------------------- | ----------------------- | ------------------------------------------------------------------------- |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | reference URL (pr:P854) | <https://www.ecologie.gouv.fr/sites/default/files/Bulletin_Stat_2021.pdf> |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | rdf:type                | wikibase:Reference                                                        |

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property                | object                                                                    |
| -------------------------------------------- | ----------------------- | ------------------------------------------------------------------------- |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | reference URL (pr:P854) | <https://www.ecologie.gouv.fr/sites/default/files/Bulletin_Stat_2021.pdf> |
| ref:066b7eca40b917b2089c634e798a0c7220c3df10 | rdf:type                | wikibase:Reference                                                        |

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query failed due to memory limitations, likely because it tries to retrieve a large number of statements by explicitly listing statement IRIs. This approach is not scalable and is not generalizable for all years or for future data. Instead, the query should be rewritten to dynamically select all relevant statements for Orly Airport's patronage (P3872) without hardcoding statement IRIs. Additionally, the query should explicitly filter out deprecated statements using the appropriate property (e.g., wikibase:rank or similar). Please revise the query to select all statements for Orly Airport (wd:Q223416) with property P3872, include qualifiers and references as requested, and exclude deprecated statements, ensuring the query is efficient and generalizable.

[Assistant]
Thank you for your feedback. You are correct: the previous approach with VALUES and hardcoded statement IRIs is not scalable or generalizable. Instead, we should dynamically select all relevant statements for Orly Airport's patronage (P3872), include qualifiers and references, and explicitly exclude deprecated statements using wikibase:rank.

To ensure efficiency and generalizability, the revised query will:
- Select all statements for Orly Airport (wd:Q223416) with property P3872.
- Exclude deprecated statements by requiring wikibase:rank wikibase:NormalRank.
- Retrieve the year (pq:P585), number of passengers (ps:P3872), reference type (either pr:P854 for URL or pr:P248 for "stated in"), and the reference itself.
- Use OPTIONAL for qualifiers and references to ensure all available data is included.
- Avoid unnecessary OPTIONAL nesting and retrieve only the required fields.

Here is the revised, efficient, and generalizable SPARQL query:

```sparql
SELECT ?statement ?year ?passengers ?refType ?reference WHERE {
  wd:Q223416 p:P3872 ?statement .
  ?statement wikibase:rank wikibase:NormalRank .
  ?statement ps:P3872 ?passengers .
  OPTIONAL { ?statement pq:P585 ?year . }
  OPTIONAL {
    ?statement prov:wasDerivedFrom ?refnode .
    OPTIONAL { ?refnode pr:P854 ?reference . BIND("reference URL" AS ?refType) }
    OPTIONAL { ?refnode pr:P248 ?reference . BIND("stated in" AS ?refType) }
  }
}
ORDER BY DESC(?year)
```

This query will return, for each non-deprecated patronage statement for Orly Airport:
- The statement IRI
- The year (if available)
- The number of passengers
- The reference type (either "reference URL" or "stated in")
- The reference (URL or entity IRI)

Now, I will submit this query as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is generally correct in its structure and intent, but it failed due to resource constraints (memory allocation error) on the endpoint. To improve the chances of successful execution, the query should be optimized to reduce memory usage. Suggestions include:
- Removing unnecessary variables (e.g., ?statement) from the SELECT clause unless explicitly needed.
- Using MINIMAL OPTIONAL patterns, only including those that are necessary.
- Filtering out deprecated statements explicitly with 'wikibase:rank wikibase:DeprecatedRank' if not already done.
- Consider limiting the number of results (using LIMIT) or filtering for recent years if the dataset is too large.

Please revise and optimize the query for better performance and retry execution.

[Assistant]
Thank you for the detailed feedback. To optimize the query for performance and reduce memory usage, I will:

- Remove the ?statement variable from the SELECT clause, as it is not explicitly needed.
- Use only the necessary OPTIONAL patterns for year and references.
- Explicitly filter out deprecated statements by requiring wikibase:rank wikibase:NormalRank.
- Add a LIMIT to return only the most recent 50 results (can be adjusted as needed).
- Order by year descending to prioritize recent data.

Here is the optimized query:

```sparql
SELECT ?year ?passengers ?refType ?reference WHERE {
  wd:Q223416 p:P3872 ?statement .
  ?statement wikibase:rank wikibase:NormalRank .
  ?statement ps:P3872 ?passengers .
  OPTIONAL { ?statement pq:P585 ?year . }
  OPTIONAL {
    ?statement prov:wasDerivedFrom ?refnode .
    OPTIONAL { ?refnode pr:P854 ?reference . BIND("reference URL" AS ?refType) }
    OPTIONAL { ?refnode pr:P248 ?reference . BIND("stated in" AS ?refType) }
  }
}
ORDER BY DESC(?year)
LIMIT 50
```

Now, I will execute this optimized query.

[Tool]
SPARQL execution failed:
Tried to allocate 10.2 GB, but only 9.8 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query still fails due to memory constraints, even after removing unnecessary variables and adding a LIMIT. The main bottleneck is likely the OPTIONAL block for references, which can create a large intermediate result set.

To further optimize:
- I will remove the OPTIONAL block for references and first retrieve just the year and number of passengers for the most recent 50 entries.
- If this works, I can then retrieve references for a smaller subset or for a single year as a follow-up.

Let's try the most minimal query for year and passengers only, with a LIMIT.

[Tool]
Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| year                                | passengers             |
| ----------------------------------- | ---------------------- |
| 2023-01-01T00:00:00Z (xsd:dateTime) | 32294167 (xsd:decimal) |
| 2021-01-01T00:00:00Z (xsd:dateTime) | 15720809 (xsd:decimal) |
| 2021-01-01T00:00:00Z (xsd:dateTime) | 15724580 (xsd:decimal) |
| 2020-12-01T00:00:00Z (xsd:dateTime) | 834746 (xsd:decimal)   |
| 2020-11-01T00:00:00Z (xsd:dateTime) | 357872 (xsd:decimal)   |
| ...                                 | ...                    |
| 2017-01-01T00:00:00Z (xsd:dateTime) | 32041718 (xsd:decimal) |
| 2017-01-01T00:00:00Z (xsd:dateTime) | 32042475 (xsd:decimal) |
| 2016-01-01T00:00:00Z (xsd:dateTime) | 31237000 (xsd:decimal) |
| 2016-01-01T00:00:00Z (xsd:dateTime) | 31237865 (xsd:decimal) |
| 2016-01-01T00:00:00Z (xsd:dateTime) | 31237531 (xsd:decimal) |

[Assistant]
The minimal query for year and number of passengers executes successfully. This confirms that the reference retrieval is the main source of memory issues.

To include references efficiently, I will:
- Retrieve references for only the most recent year (e.g., 2023) as a demonstration.
- This approach can be repeated for other years as needed.

Let's first get the statements for 2023, then retrieve their references.

[Tool]
Got 1 row and 2 columns:
| statement                                      | passengers             |
| ---------------------------------------------- | ---------------------- |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | 32294167 (xsd:decimal) |

[Tool]
Got 6 rows and 3 columns:
| subject                                        | property                 | object                              |
| ---------------------------------------------- | ------------------------ | ----------------------------------- |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | point in time (pq:P585)  | 2023-01-01T00:00:00Z (xsd:dateTime) |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | patronage (ps:P3872)     | 32294167 (xsd:decimal)              |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | wikibase:rank            | wikibase:NormalRank                 |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | rdf:type                 | wikibase:Statement                  |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | point in time (pqv:P585) | v:60a280b7a39d2c2e62cd6c631b3e88e9  |
| s:Q223416-325d0174-4e72-c583-8b06-afadd2447c54 | patronage (psv:P3872)    | v:fc3aa3691d37d1653d9f9fa1b7ceb078  |

[Tool] Got no rows and 3 columns

[Assistant]
For the most recent year (2023), the patronage statement for Orly Airport does not have an attached reference in the data currently available.

Here is an optimized query that will efficiently return the yearly patronage statistics for Orly Airport, including the year and number of passengers, for the most recent 50 years, excluding deprecated statements. This query is efficient and generalizable:

```sparql
SELECT ?year ?passengers WHERE {
  wd:Q223416 p:P3872 ?statement .
  ?statement wikibase:rank wikibase:NormalRank .
  ?statement ps:P3872 ?passengers .
  OPTIONAL { ?statement pq:P585 ?year . }
}
ORDER BY DESC(?year)
LIMIT 50
```

If you want to retrieve references for a specific year, you can do so by first identifying the statement for that year and then querying for its references, as demonstrated above.

Summary:
- The optimized query above will return the year and number of passengers for Orly Airport's yearly patronage, efficiently and without memory issues.
- Reference retrieval should be done per statement/year as needed, due to endpoint resource constraints.
- For 2023, no reference is currently attached in Wikidata.

If you need the query for a specific year with references, let me know!


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?creator ?birthplace ?invnum ?image WHERE {
  ?item wdt:P195 wd:Q3329624 .
  ?item wdt:P170 ?creator .
  ?creator wdt:P19 ?birthplace .
  ?birthplace ( wdt:P131 ) * wd:Q12130 .
  OPTIONAL {
    ?item wdt:P217 ?invnum .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
}
LIMIT 100

The items in the collection of the Musée d'art et d'histoire de Saint-Brieuc, whose creators were born in Brittany, along with their creators, the creators' places of birth in Brittany, their inventory numbers, and images (if available), are provided in the query result. Each row gives the item, its creator, the creator's birthplace, the inventory number, and an image 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] 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]
Let's break down the question:

1. Identify the entity for "Musée d'art et d'histoire de Saint-Brieuc".
2. Find the property for "collection" or "items in collection".
3. For each item, get:
   - Its creator (property: creator/author/artist).
   - The creator's place of birth.
   - The place of birth's location (must be in Brittany).
   - The item's inventory number.
   - The item's image (if available).

Let's start by searching for the museum entity.

[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 correct entity for "Musée d'art et d'histoire de Saint-Brieuc" is wd:Q3329624.

Next, I need to find the property that links a museum to its collection items. This is often "has part" or "collection" or similar. I'll search for relevant properties.

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
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. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. 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 wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
7. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): 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. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as wdt/p): date or point in time a place, organization, or event officially opened, start time, inception
9. 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:")
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Assistant]
It seems that there is no direct "collection" or "has part" property explicitly linking the museum to its items in the top property results. However, in Wikidata, items in a museum's collection are often linked via the "collection" property (P195) on the item itself, pointing to the museum.

Let's verify that "collection" (P195) is the correct property by searching for it directly.

[Tool]
Top 10 property alternatives:
1. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): series which contains the subject, part of
2. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): art, museum, archival, or bibliographic collection of which the subject is part, part of
3. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): collection that has works of this person or organisation (use archives at [P485] for archives)
4. collection items at, also known as specimens at, collections at, collection objects at (wd:P11146 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): institution (museum, collection, etc.) holding items (specimens ...ubject (e.g. site). (use archive location P485 for the archives)
5. online catalog URL, also known as catalog online, catalog URL, collection online, online collection, OPAC URL (wd:P8768 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): URL of the website where an item's catalog can be browsed
6. collection or exhibition size, also known as size of collection, size of exhibition, number of records, exhibition size, number of objects (wd:P1436 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): number of items in a collection or exhibition
7. type of document(s) held, also known as type of artefact(s) held, type of material in archive, type of material in collection, type of material in documentation file(s), type of resources held (wd:P11868 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): used to specify the type of document(s) contained in an archival collection or documentation file
8. catalogue raisonné, also known as reasoned catalogue, artist catalogue, artist catalog, Art Catalog (wd:P9969 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): comprehensive, annotated listing of all the known artworks by an artist either in a particular medium or all media., catalog
9. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
10. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).

[Assistant]
The property "collection" (wd:P195) is indeed used to indicate that an item is part of a museum's collection. So, to find items in the Musée d'art et d'histoire de Saint-Brieuc, we should look for items where wdt:P195 = wd:Q3329624.

Next, for each item, we need:
- The creator (artist/author).
- The creator's place of birth.
- The place of birth's location (must be in Brittany).
- The item's inventory number.
- The item's image (if available).

Let's search for the property for "creator" next.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): founder or co-founder of this organization, religion, place or entity, creator
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): maker of this creative work or other object (where no more specific property exists)
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): notable scientific, artistic or literary work, or other work of significance among subject's works
7. possible creator, also known as creator (possible), attributed to (wd:P1779 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): for a creative work with considerable uncertainty about the author
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): organization or person that developed the item, creator
9. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): text through which an institution or object has been created or established

[Assistant]
The property "creator" (wd:P170) is the correct one for the maker of a creative work or object.

Next, we need the property for the creator's "place of birth." Let's search for that.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): 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 pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property "place of birth" (wd:P19) is the correct one for the creator's birthplace.

Now, we need to check if the place of birth is located in Brittany. For this, we need:
- The entity for Brittany.
- The property for "located in the administrative territorial entity" (likely wd:P131).

Let's search for "Brittany" to get its entity.

[Tool]
Top 10 entity alternatives:
1. Brittany (wd:Q327): cultural area located in northwestern France
2. Brittany, also known as BZH, Region of Brittany, FR-BZH, Bretagne, Breizh (wd:Q12130): administrative region of France
3. Duchy of Brittany, also known as Bretagne, Dugelezh Breizh, Brittany, Duché de Bretagne (wd:Q71747): former European sovereign state 939–1547, then dukedom of the Kingdom of France
4. Brittany, also known as Brittany Spaniel, Spaniel bretón, Spaniel breton, Spaniel bretão, French Brittany (wd:Q38156): dog breed
5. 51599 Brittany, also known as Brittany (wd:Q582528): asteroid
6. Brittany, also known as Brittany (first name), Brittany (given name) (wd:Q1509566): female given name
7. Brittany (wd:Q11832360): peninsula in France
8. Brittany, also known as Brittany, LA, Brittany, Louisiana (wd:Q17986092): human settlement in United States of America
9. Brittaney Starr, also known as Brittany Starr, Brittnay Star, Brittney Starr, Jasmineva Brown, Brittaney Star (wd:Q43381438): American pornographic actress and director, pornographic film director, pornographic actor, film director
10. Brittany (wd:Q36912681): family name

[Assistant]
There are two relevant entities for Brittany:
- wd:Q327: cultural area located in northwestern France
- wd:Q12130: administrative region of France

For the context of birthplace, the administrative region (wd:Q12130) is more precise for modern locations. We'll use wd:Q12130.

Now, let's confirm the property for "located in the administrative territorial entity" to check if the birthplace is in Brittany.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) direct subdivisions of an administrative territorial entity, has part(s)
3. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
4. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
5. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
6. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
7. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): seat of government of a country, province, state or other type of administrative territorial entity
8. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
9. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
10. contains the statistical territorial entity, also known as contains statistical territorial entity (wd:P10888 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Assistant]
The property "located in the administrative territorial entity" (wd:P131) is correct for checking if a birthplace is in Brittany (wd:Q12130).

Now, for the inventory number and image:
- Inventory number is often "inventory number" (P217).
- Image is "image" (P18).

Let's confirm "inventory number" by searching for it.

[Tool]
Top 10 property alternatives:
1. inventory number, also known as control number, shelfmark, reference number, reference, object number (wd:P217 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier for a physical object or a set of physical objects in a collection
2. section, verse, paragraph, or clause, also known as bibliography, verse, title (of a section), s. v., sub voce (wd:P958 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): paragraph, or other kind of special indication to find information on a page or on a document (legal texts etc.)
3. Art for the City inventory number, also known as Art for the City - inventory number, inventory number of a work of art in the Art for the City database, Umění pro město - inventory number (wd:P9471 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): alphanumeric inventory number of a work in the Art for the City database
4. Raakvlak inventory number (wd:P9754 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): collection of heritage and archaeological finds
5. order number, also known as o/n, order no. (wd:P8470 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): identifier given to rolling stock at the point of purchase, sale, or manufacturing
6. Grand Est inventory ID (wd:P13027 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): Gertrude identifier for a cultural property in the Grand Est region
7. catalog code, also known as astronomical catalog, registration number, register, identifier in catalog, enrollment number (wd:P528 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): catalog name of an object, use with qualifier P972
8. serial number, also known as s/n, serial code, MSN, manufacturer serial number, construction number (wd:P2598 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): an identifier for a specific object among the same product. Not a product code or model number
9. Occitanie Inventory ID, also known as Occitanie Inventory identifier (wd:P9176 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): Gertrude identifier for a cultural property in the Occitanie region
10. Inventories of American Painting and Sculpture control number, also known as SIRIS control number, Smithsonian Institution Research Information System control number, Smithsonian American Art Museum control number, Inventory of American Sculpture control number, IAS control number (wd:P4814 as pqv/wdt/p/prn/pr/prv/psv/ps/wdtn/pqn/psn/pq): control number for a work, in 'Inventories of American Painting and Sculpture'

[Assistant]
The property "inventory number" (wd:P217) is correct for the inventory number of a collection item.

Now, we have all the necessary entities and properties:
- Items in collection: ?item wdt:P195 wd:Q3329624
- Creator: ?item wdt:P170 ?creator
- Creator's place of birth: ?creator wdt:P19 ?birthplace
- Birthplace located in Brittany: ?birthplace wdt:P131 wd:Q12130 (or recursively, as some places may be nested)
- Inventory number: ?item wdt:P217 ?invnum
- Image: ?item wdt:P18 ?image (optional)

Let's build the SPARQL query step by step, ensuring we only get items whose creator's place of birth is in Brittany. We'll also include optional image and inventory number.

[Tool]
Got 46 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                                                         | creator                       | birthplace             | invnum      | image                                                                                |
| ---------------------------------------------------------------------------- | ----------------------------- | ---------------------- | ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| wd:Q132643629                                                                | Jean Urvoy (wd:Q14637437)     | Dinan (wd:Q201311)     | 2021.2.97   | <http://commons.wikimedia.org/wiki/Special:FilePath/Acrobates%20%C3%A0%20la%20corde.jpg>                                                                                |
| wd:Q132643841                                                                | Jean Urvoy (wd:Q14637437)     | Dinan (wd:Q201311)     | 2021.2.96   | <http://commons.wikimedia.org/wiki/Special:FilePath/La%20caissi%C3%A8re.jpg>                                                                                |
| wd:Q132643889                                                                | Jean Urvoy (wd:Q14637437)     | Dinan (wd:Q201311)     | 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>                                                     |
| wd:Q132644506                                                                | Jean Urvoy (wd:Q14637437)     | Dinan (wd:Q201311)     | 2021.2.22   | <http://commons.wikimedia.org/wiki/Special:FilePath/M0196%202021-2-022%201.jpg>                                                                                |
| wd:Q132645204                                                                | Jean Urvoy (wd:Q14637437)     | Dinan (wd:Q201311)     | 2021.2.56   | <http://commons.wikimedia.org/wiki/Special:FilePath/Le%20vieux%20clown.jpg>                                                                                |
| ...                                                                          | ...                           | ...                    | ...         | ...                                                                                |
| Achille découvert par Ulysse parmi les filles du roi Lycomède (wd:Q43306773) | Jean-Louis Hamon (wd:Q728189) | Plouha (wd:Q217114)    | DOC 992.5.1 | <http://commons.wikimedia.org/wiki/Special:FilePath/Femmes%20romaines%20-%20Jean-Louis%20Hamon%20-%20mus%C3%A9e%20d%27art%20et%20d%27histoire%20de%20Saint-Brieuc%2C%20DOC%20992.5.1b.jpg>                          |
| Le barbier de village (wd:Q43306905)                                         | Olivier Perrin (wd:Q3351273)  | Rostrenen (wd:Q244864) | 16          | <http://commons.wikimedia.org/wiki/Special:FilePath/Le%20barbier%20de%20village%20-%20Olivier%20Perrin%20-%20mus%C3%A9e%20d%27art%20et%20d%27histoire%20de%20Saint-Brieuc%20-%202.jpg>                              |
| L'atelier de menuisier (wd:Q43306914)                                        | Olivier Perrin (wd:Q3351273)  | Rostrenen (wd:Q244864) | 89.1.1      | <http://commons.wikimedia.org/wiki/Special:FilePath/L-atelier-de-menuisier-olivier-perrin-musee-d-art-et-d-histoire-de-saint-brieuc-doc-89.1.1-cropped.jpg>                                                         |
| wd:Q43306916                                                                 | Olivier Perrin (wd:Q3351273)  | Rostrenen (wd:Q244864) | 89.1.2      | <http://commons.wikimedia.org/wiki/Special:FilePath/D%C3%A9part%20d%27une%20cavalcade%20de%20noce%20-%20Olivier%20Perrin%20-%20mus%C3%A9e%20d%27art%20et%20d%27histoire%20de%20Saint-Brieuc%2C%20DOC%2089.1.2b.jpg> |
| wd:Q43306919                                                                 | Olivier Perrin (wd:Q3351273)  | Rostrenen (wd:Q244864) | 89.1.3      | <http://commons.wikimedia.org/wiki/Special:FilePath/Danse-de-noce-olivier-perrin-musee-d-art-et-d-histoire-de-saint-brieuc-doc-89.1.3-cropped.jpg>                                                                  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the items in the collection of the Musée d'art et d'histoire de Saint-Brieuc, their creators, the creators' birthplaces (restricted to Brittany), inventory numbers, and images if available. The query returns the actual IRIs for all entities, and optional information is handled with OPTIONAL clauses. No further obvious improvements are needed, and the answer matches the user's request.