PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?commune ?communeLabelEN ?communeLabelFR ?communeLabelAR WHERE {
  ?commune wdt:P31 wd:Q17318027 .
  ?commune wdt:P17 wd:Q1028 .
  OPTIONAL {
    ?commune rdfs:label ?communeLabelEN FILTER ( LANG( ?communeLabelEN ) = "en" )
  }
  OPTIONAL {
    ?commune rdfs:label ?communeLabelFR FILTER ( LANG( ?communeLabelFR ) = "fr" )
  }
  OPTIONAL {
    ?commune rdfs:label ?communeLabelAR FILTER ( LANG( ?communeLabelAR ) = "ar" )
  }
}
ORDER BY ?communeLabelEN

Using entities:
Morocco (wd:Q1028), also known as al-Maġrib, Kingdom of Morocco, Lmaġrib, ma, MAR, etc.
rural commune of Morocco (wd:Q17318027), also known as rural commune

Using properties:
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 1,276 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                            | communeLabelEN           | communeLabelFR | communeLabelAR      |
| ---------------------------------- | ------------------------ | -------------- | ------------------- |
| wd:Q12181212                       |                          |                | أولاد صالح (ar)     |
| wd:Q27533449                       |                          | Ayir (fr)      | أيير (ar)           |
| wd:Q6539156                        |                          |                | آيت بو علي (ar)     |
| Aarab Sebbah Gheris (wd:Q20384963) | Aarab Sebbah Gheris (en) |                | عرب صباح اغريس (ar) |
| Aarab Sebbah Ziz (wd:Q20384972)    | Aarab Sebbah Ziz (en)    |                | عرب صباح زيز (ar)   |
| ...                                | ...                      | ...            | ...                 |
| Znada (wd:Q20421090)               | Znada (en)               |                | ازنادة (ar)         |
| Zouada (wd:Q12214765)              | Zouada (en)              | Zouada (fr)    | زوادة (ar)          |
| Zoumi (wd:Q8074648)                | Zoumi (en)               | Zoumi (fr)     | زومي (ar)           |
| Zrarda (wd:Q8074757)               | Zrarda (en)              | Zrarda (fr)    | زراردة (ar)         |
| Zrizer (wd:Q12188091)              | Zrizer (en)              | Zrizer (fr)    | الزريزر (ar)        |

Answer: I executed the query and it returned 1,276 rural communes in Morocco on Wikidata. The SPARQL query returns the Wikidata IRIs of each rural commune and optional labels (English, French, Arabic). You can run the above query on the Wikidata SPARQL endpoint to get the full list (each result row gives the commune IRI and any available labels).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the rural communes of Morocco?

[Assistant] I will search Wikidata for the entity corresponding to "rural commune" and then query for items that are instances of that class and located in Morocco. I'll start by searching for the entity "rural commune".

[Tool]
Top 10 entity alternatives:
1. rural commune of Morocco (wd:Q17318027, matched via rural commune), also known as rural commune
2. rural commune of Vietnam (wd:Q2389082), also known as xa, xã, Xã
3. commune rurale de Nojaï-Iourt (wd:Q24636444)
4. Nostoc commune subsp. commune (wd:Q49549856, matched via Nostoc commune commune), also known as Nostoc commune commune
5. Bourg-en-Bresse (wd:Q133069, matched via Commune-Neuve (ou Commune-Nouvelle)), also known as Bledvin, Bourg-Épuré, Bourg-Régénéré, Commune-Affranchie, Commune-Neuve (ou Commune-Nouvelle), etc.
6. Paris Commune (wd:Q133132), also known as Commune
7. commune of France (wd:Q484170, matched via commune), also known as commune, commune (France)
8. rural area (wd:Q175185), also known as countryside, regional area, rural areas, rural place, rural region
9. Salamanca (wd:Q56134, matched via Salamanca Commune), also known as Salamanca, Chile, Salamanca Commune
10. Saint-Pierre (wd:Q185678, matched via Saint-Pierre Commune), also known as Saint Pierre, Saint Pierre Commune, Saint-Pierre Commune, Saint Pierre en l'Ile, Saint-Pierre-en-l'Ile, etc.

[Assistant] I'll query Wikidata for items that are instances of "rural commune of Morocco" (wd:Q17318027) and located in Morocco (wd:Q1028). I'll request English, French, and Arabic labels where available. Now I'll run the SPARQL query.

[Tool]
Got 1,276 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                            | communeLabelEN           | communeLabelFR | communeLabelAR      |
| ---------------------------------- | ------------------------ | -------------- | ------------------- |
| wd:Q12181212                       |                          |                | أولاد صالح (ar)     |
| wd:Q27533449                       |                          | Ayir (fr)      | أيير (ar)           |
| wd:Q6539156                        |                          |                | آيت بو علي (ar)     |
| Aarab Sebbah Gheris (wd:Q20384963) | Aarab Sebbah Gheris (en) |                | عرب صباح اغريس (ar) |
| Aarab Sebbah Ziz (wd:Q20384972)    | Aarab Sebbah Ziz (en)    |                | عرب صباح زيز (ar)   |
| ...                                | ...                      | ...            | ...                 |
| Znada (wd:Q20421090)               | Znada (en)               |                | ازنادة (ar)         |
| Zouada (wd:Q12214765)              | Zouada (en)              | Zouada (fr)    | زوادة (ar)          |
| Zoumi (wd:Q8074648)                | Zoumi (en)               | Zoumi (fr)     | زومي (ar)           |
| Zrarda (wd:Q8074757)               | Zrarda (en)              | Zrarda (fr)    | زراردة (ar)         |
| Zrizer (wd:Q12188091)              | Zrizer (en)              | Zrizer (fr)    | الزريزر (ar)        |

[Assistant] Now I'll execute the final SPARQL query that lists all items that are instances of "rural commune of Morocco" (wd:Q17318027) and are located in Morocco (wd:Q1028). I will request English, French, and Arabic labels as optional values.

[Tool]
Got 1,276 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                            | communeLabelEN           | communeLabelFR | communeLabelAR      |
| ---------------------------------- | ------------------------ | -------------- | ------------------- |
| wd:Q12181212                       |                          |                | أولاد صالح (ar)     |
| wd:Q27533449                       |                          | Ayir (fr)      | أيير (ar)           |
| wd:Q6539156                        |                          |                | آيت بو علي (ar)     |
| Aarab Sebbah Gheris (wd:Q20384963) | Aarab Sebbah Gheris (en) |                | عرب صباح اغريس (ar) |
| Aarab Sebbah Ziz (wd:Q20384972)    | Aarab Sebbah Ziz (en)    |                | عرب صباح زيز (ar)   |
| ...                                | ...                      | ...            | ...                 |
| Znada (wd:Q20421090)               | Znada (en)               |                | ازنادة (ar)         |
| Zouada (wd:Q12214765)              | Zouada (en)              | Zouada (fr)    | زوادة (ar)          |
| Zoumi (wd:Q8074648)                | Zoumi (en)               | Zoumi (fr)     | زومي (ar)           |
| Zrarda (wd:Q8074757)               | Zrarda (en)              | Zrarda (fr)    | زراردة (ar)         |
| Zrizer (wd:Q12188091)              | Zrizer (en)              | Zrizer (fr)    | الزريزر (ar)        |

[Assistant]
Step-by-step plan and thought process before finalizing:

1) Identify the Wikidata class for "rural commune of Morocco".
- Thought: I need an item representing rural communes in Morocco. I searched for the entity "rural commune" and found "rural commune of Morocco" (wd:Q17318027).

2) Decide which properties constrain items to rural communes in Morocco.
- Thought: Use instance of (wdt:P31) = wd:Q17318027, and country (wdt:P17) = Morocco (wd:Q1028).

3) Build the SPARQL query.
- Thought: Query for ?commune with those constraints and optionally retrieve labels in English, French, and Arabic using rdfs:label with language filters. Order by the English label.

4) Execute the query to verify results.
- Thought: I already ran the query to verify it returns results; it returned 1,276 rows.

Now I will provide the final SPARQL query (which I executed) and the answer summarizing the results. After this function call the process will finish.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?municipality ?municipalityLabel ?website ?coord ?state ?stateLabel WHERE {
  ?municipality wdt:P31 / wdt:P279 * wd:Q42744322 .
  OPTIONAL {
    ?municipality wdt:P856 ?website .
  }
  OPTIONAL {
    ?municipality wdt:P625 ?coord .
  }
  ?municipality wdt:P131 * ?state .
  ?state wdt:P31 / wdt:P279 * wd:Q1221156 .
  OPTIONAL {
    ?municipality rdfs:label ?municipalityLabel FILTER ( LANG( ?municipalityLabel ) = "en" )
  }
  OPTIONAL {
    ?state rdfs:label ?stateLabel FILTER ( LANG( ?stateLabel ) = "en" )
  }
}
ORDER BY ?municipalityLabel

Using entities:
federated state of Germany (wd:Q1221156), also known as BL, Bundesland, German federal state, Land, state of Germany, etc.
urban municipality in Germany (wd:Q42744322), also known as city municipality of Germany, city of Germany

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
coordinate location (wd:P625 as wdt), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.
official website (wd:P856 as wdt), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.

Got 2,097 rows and 6 columns, showing the first 5 and last 5 rows below:
| municipality             | municipalityLabel | website                                  | coord                                       | state                             | stateLabel                  |
| ------------------------ | ----------------- | ---------------------------------------- | ------------------------------------------- | --------------------------------- | --------------------------- |
| wd:Q3865                 |                   | <https://www.villingen-schwenningen.de/> | POINT(8.492962 48.063152) (geo:wktLiteral)  | Baden-Württemberg (wd:Q985)       | Baden-Württemberg (en)      |
| Aach (wd:Q62158)         | Aach (en)         | <http://www.aach.de/>                    | POINT(8.851667 47.845556) (geo:wktLiteral)  | Baden-Württemberg (wd:Q985)       | Baden-Württemberg (en)      |
| Aachen (wd:Q1017)        | Aachen (en)       | <https://www.aachen.de/>                 | POINT(6.083788 50.776207) (geo:wktLiteral)  | North Rhine-Westphalia (wd:Q1198) | North Rhine-Westphalia (en) |
| Abenberg (wd:Q261822)    | Abenberg (en)     | <https://www.abenberg.de/>               | POINT(10.961944 49.240555) (geo:wktLiteral) | Bavaria (wd:Q980)                 | Bavaria (en)                |
| Abensberg (wd:Q255698)   | Abensberg (en)    | <https://www.abensberg.de/>              | POINT(11.850130 48.816720) (geo:wktLiteral) | Bavaria (wd:Q980)                 | Bavaria (en)                |
| ...                      | ...               | ...                                      | ...                                         | ...                               | ...                         |
| Zwenkau (wd:Q10779)      | Zwenkau (en)      | <https://www.zwenkau.de/>                | POINT(12.324167 51.217500) (geo:wktLiteral) | Saxony (wd:Q1202)                 | Saxony (en)                 |
| Zwickau (wd:Q3778)       | Zwickau (en)      | <https://www.zwickau.de/>                | POINT(12.496111 50.718889) (geo:wktLiteral) | Saxony (wd:Q1202)                 | Saxony (en)                 |
| Zwiesel (wd:Q163091)     | Zwiesel (en)      | <http://www.zwiesel.de>                  | POINT(13.233333 49.016667) (geo:wktLiteral) | Bavaria (wd:Q980)                 | Bavaria (en)                |
| Zwingenberg (wd:Q244821) | Zwingenberg (en)  | <https://zwingenberg.de/>                | POINT(8.613889 49.722500) (geo:wktLiteral)  | Hesse (wd:Q1199)                  | Hesse (en)                  |
| Zwönitz (wd:Q58002)      | Zwönitz (en)      | <https://www.zwoenitz.de/>               | POINT(12.813333 50.630278) (geo:wktLiteral) | Saxony (wd:Q1202)                 | Saxony (en)                 |

Answer:
I ran the query on Wikidata. It returns the IRIs of urban municipalities in Germany along with optional official website (wdt:P856), coordinates (wdt:P625), and a parent federated state (an administrative parent that is an instance/subclass of wd:Q1221156). The query returned 2,097 rows. Example results (columns: municipality IRI, English label, website, coordinates WKT, state IRI, state English label):

- wd:Q1017, Aachen, https://www.aachen.de/, POINT(6.083788 50.776207), wd:Q1198, North Rhine-Westphalia
- wd:Q1022, Stuttgart, https://www.stuttgart.de/, POINT(9.18 48.7775), wd:Q985, Baden-Württemberg
- wd:Q1040, Karlsruhe, https://www.karlsruhe.de/, POINT(8.4 49.016667), wd:Q985, Baden-Württemberg
- wd:Q1055, Hamburg, https://www.hamburg.de/ (also https://www.hamburg.com/ appears), POINT(10 53.55), wd:Q1055, Hamburg

Notes and provenance:
- I discovered the relevant class item urban municipality in Germany (wd:Q42744322) via entity search.
- I used P856 for official website, P625 for coordinates and P131 (administrative territorial entity) chained to find the federated state (instance/subclass of wd:Q1221156).
- The query returns IRIs for municipalities and states (plus optional English labels). Some municipalities may lack a website or coordinates in Wikidata, in which case those fields are empty in the results.

If you want the full CSV/TSV output, different language labels, or to include additional properties (population, area, district), tell me which and I will adjust the query.

What are the urban municipalities in Germany? For each result, return also its official website, coordinates (if available), and parent federated state.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] What are the urban municipalities in Germany? For each result, return also its official website, coordinates (if available), and parent federated state.

[Assistant] I will search Wikidata for an item representing "urban municipality" (German: "Stadt" or specifically "urban municipality (Germany)") and for items representing Germany and federated states. I'll then build a SPARQL query that finds all municipalities in Germany that are instances of the urban municipality class, returning their official website, coordinates, and the federated state they belong to. I'll run intermediate searches to verify entity identifiers and relevant properties. Now I'll search for candidate items for "urban municipality".

[Tool]
Top 10 entity alternatives:
1. urban municipality (wd:Q2616791), also known as urban gmina: administrative division of Poland / is subclass of gmina / is subclass of city
2. Municipio Urbaneja (wd:Q2023615, matched via Urbaneja Municipality), also known as Turístico Diego Bautista Urbaneja Municipality, Urbaneja Municipality: second-level administrative division in the Anzoátegui State, Venezuela / second-level administrative division in the Anzoátegui State, Venezuela / is instance of Municipalities of Venezuela / is instance of municipality of Venezuela
3. urban-rural municipality (wd:Q3491915), also known as urban-rural gmina: administrative division of Poland / is subclass of gmina
4. urban municipality in Germany (wd:Q42744322), also known as city municipality of Germany, city of Germany: municipality with town privileges in Germany (may e.g. legally prepend "Stadt" to its name) / is subclass of place with town rights and privileges / is subclass of municipality in Germany / is subclass of city
5. urban municipality in Sweden (wd:Q12015578): is subclass of administrative territorial entity of Sweden / is subclass of former administrative territorial entity / is subclass of Administrative divisions of Sweden / is subclass of administrative division of Sweden / is subclass of city / 1863–1970
6. Shanghai (wd:Q8686, matched via Shanghai Municipality), also known as Hu, Municipality of Shanghai, Pearl of the Orient, Shanghae, Shang-hai, etc.: is instance of Economic and Technological Development Zones / is instance of direct-administered municipality / provincial-level municipality in China / is instance of national central city / is instance of largest city / is instance of global city / is instance of Metropolis / is instance of metropolis / is instance of port city / is instance of big city / is instance of megacity
7. City of Brussels (wd:Q239, matched via Brussels (municipality)), also known as 02, Bru, Brussel, Brussels, Brussels, Belgium, etc.: municipality and capital city of Belgium / is instance of municipality of Belgium / is instance of federal capital / is instance of European City / is instance of big city
8. Florence (wd:Q2044, matched via Florence Municipality), also known as Firenze, Florence, Italy, Florence Municipality, Florence, Tuscany: Italian city and commune, located in Tuscany / is instance of Italian city-state / is instance of commune of Italy / is instance of big city / Italian comune / Italian comune
9. Honolulu (wd:Q18094, matched via Urban Honolulu), also known as Hanarourou, Honolulu CDP, Honolulu, Hawaii, Honolulu, HI, Urban Honolulu: city in and county seat of Honolulu County, Hawaii, United States, that is also the capital city of Hawaii / is instance of consolidated city-county / is instance of county seat / is instance of big city
10. Vientiane (wd:Q9326, matched via urban Vientiane), also known as Bientani, Nakhon Viangchan, urban Vientiane, Viang chan, Viangchan, etc.: is instance of conurbation / capital of Laos

[Assistant] I'll search for the entity representing "federal state of Germany" (German: Bundesland) to ensure we correctly identify parent federated states.

[Tool]
Top 10 entity alternatives:
1. Joint gambling authority of the federal states of Germany (wd:Q114555880), also known as GGL: regulatory authority for gambling in Germany / is instance of supervisory authority
2. Federal Statistical Office (wd:Q764739, matched via Federal Statistical Office of Germany), also known as Destatis, Federal Statistical Office of Germany, Statistisches Bundesamt: is instance of higher federal authority / is instance of registration authority / is instance of statistical service / is instance of federal office / German registration authority
3. Federal Government Commissioner for the New Federal States of Germany (wd:Q813392), also known as Beauftragter der Bundesregierung für die neuen Bundesländer: is subclass of Federal Commissioner / is instance of position
4. president of Germany (wd:Q25223, matched via Federal President of the Federal Republic of Germany), also known as Federal President of Germany, Federal President of the Federal Republic of Germany: is subclass of President of the Republic / is instance of public office / is subclass of head of state / head of state of Germany
5. Federal Chancellor of Germany (wd:Q4970706, matched via Federal Chancellor of the Federal Republic of Germany), also known as Chancellor, Chancellor of Germany, Chancellor of the Federal Republic of Germany, Federal Chancellor, Federal Chancellor of the Federal Republic of Germany, etc.: head of government of the Federal Republic of Germany (1949–present) / is subclass of Chancellor of Germany / is subclass of prime minister / is instance of public office
6. Germany (wd:Q183, matched via Federal Republic of Germany), also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany: is instance of sovereign state / country in central Europe / country in central Europe / country in Central Europe / country in Central Europe / is instance of country
7. federated state of Germany (wd:Q1221156), also known as BL, Bundesland, German federal state, Land, state of Germany, etc.: is instance of designation for an administrative territorial entity of a single country / administrative division of the Federal Republic of Germany / is subclass of NUTS 1 statistical territorial entity / is subclass of administrative divisions of Germany / is subclass of first-level administrative division / is subclass of federated state / is subclass of Federated state
8. West Germany (wd:Q713750, matched via Federal Republic of Germany (1949–1990)), also known as BRD, BR Dtld., Federal Republic of Germany (1949–1990), FRG, history of West Germany from 1949 to 1990, etc.: Federal Republic of Germany in the period between its formation on 23 May 1949 and German reunification on 3 October 1990 / is instance of historical country / is instance of historical period
9. federal state of Austria (wd:Q261543), also known as province of Austria, state of Austria: is instance of designation for an administrative territorial entity of a single country / is subclass of administrative territorial entity of Austria / is subclass of NUTS 2 statistical territorial entity / is subclass of first-level administrative division / principal subdivision of Austria / is subclass of Federated state / is subclass of federated state
10. Coat of arms of Germany (wd:Q133018, matched via Coat of arms of the Federal Republic of Germany), also known as Bundesadler, Coat of arms of the Federal Republic of Germany, Federal Eagle: National emblem of the Federal Republic of Germany / is instance of national coat of arms

[Assistant] I'll run a SPARQL query to find items that are instances (or instances of subclasses) of "urban municipality in Germany" (wd:Q42744322), retrieve their official website (P856) and coordinates (P625), and follow the administrative chain (P131*) to find a parent that is an instance (or subclass) of "federated state of Germany" (wd:Q1221156). I'll include labels (English) as optional fields for readability. Now I'll execute the query to verify results.

[Tool]
Got 2,097 rows and 6 columns, showing the first 5 and last 5 rows below:
| municipality                 | municipalityLabel      | website                                | coord                                       | state                                    | stateLabel                         |
| ---------------------------- | ---------------------- | -------------------------------------- | ------------------------------------------- | ---------------------------------------- | ---------------------------------- |
| Aachen (wd:Q1017)            | Aachen (en)            | <https://www.aachen.de/>               | POINT(6.083788 50.776207) (geo:wktLiteral)  | North Rhine-Westphalia (wd:Q1198)        | North Rhine-Westphalia (en)        |
| Stuttgart (wd:Q1022)         | Stuttgart (en)         | <https://www.stuttgart.de/>            | POINT(9.180000 48.777500) (geo:wktLiteral)  | Baden-Württemberg (wd:Q985)              | Baden-Württemberg (en)             |
| Karlsruhe (wd:Q1040)         | Karlsruhe (en)         | <https://www.karlsruhe.de/>            | POINT(8.400000 49.016667) (geo:wktLiteral)  | Baden-Württemberg (wd:Q985)              | Baden-Württemberg (en)             |
| Hamburg (wd:Q1055)           | Hamburg (en)           | <https://www.hamburg.com/>             | POINT(10.000000 53.550000) (geo:wktLiteral) | Hamburg (wd:Q1055)                       | Hamburg (en)                       |
| Hamburg (wd:Q1055)           | Hamburg (en)           | <https://www.hamburg.de/>              | POINT(10.000000 53.550000) (geo:wktLiteral) | Hamburg (wd:Q1055)                       | Hamburg (en)                       |
| ...                          | ...                    | ...                                    | ...                                         | ...                                      | ...                                |
| Bernau bei Berlin (wd:Q9300) | Bernau bei Berlin (en) | <https://www.bernau.de/>               | POINT(13.583056 52.666667) (geo:wktLiteral) | Brandenburg (wd:Q1208)                   | Brandenburg (en)                   |
| Eberswalde (wd:Q9306)        | Eberswalde (en)        | <https://www.eberswalde.de/>           | POINT(13.833056 52.833056) (geo:wktLiteral) | Brandenburg (wd:Q1208)                   | Brandenburg (en)                   |
| Bad Doberan (wd:Q9536)       | Bad Doberan (en)       | <https://bad-doberan-heiligendamm.de/> | POINT(11.905278 54.106944) (geo:wktLiteral) | Mecklenburg-Western Pomerania (wd:Q1196) | Mecklenburg-Western Pomerania (en) |
| Neubukow (wd:Q9638)          | Neubukow (en)          | <https://www.neubukow.de/>             | POINT(11.676600 54.030700) (geo:wktLiteral) | Mecklenburg-Western Pomerania (wd:Q1196) | Mecklenburg-Western Pomerania (en) |
| Warburg (wd:Q968)            | Warburg (en)           | <https://www.warburg.de/>              | POINT(9.140000 51.488056) (geo:wktLiteral)  | North Rhine-Westphalia (wd:Q1198)        | North Rhine-Westphalia (en)        |

[Assistant]
I'll execute a final SPARQL query that:
- finds all items that are instance (or instance of a subclass) of "urban municipality in Germany" (wd:Q42744322),
- returns each municipality's IRI, optional official website (P856), optional coordinates (P625), and a parent federated state (an administrative parent that is instance/subclass of wd:Q1221156),
- also returns optional English labels for readability.
I'll order results by municipality label.

Now I'll run that query to get the definitive result set.

[Tool]
Got 2,097 rows and 6 columns, showing the first 5 and last 5 rows below:
| municipality             | municipalityLabel | website                                  | coord                                       | state                             | stateLabel                  |
| ------------------------ | ----------------- | ---------------------------------------- | ------------------------------------------- | --------------------------------- | --------------------------- |
| wd:Q3865                 |                   | <https://www.villingen-schwenningen.de/> | POINT(8.492962 48.063152) (geo:wktLiteral)  | Baden-Württemberg (wd:Q985)       | Baden-Württemberg (en)      |
| Aach (wd:Q62158)         | Aach (en)         | <http://www.aach.de/>                    | POINT(8.851667 47.845556) (geo:wktLiteral)  | Baden-Württemberg (wd:Q985)       | Baden-Württemberg (en)      |
| Aachen (wd:Q1017)        | Aachen (en)       | <https://www.aachen.de/>                 | POINT(6.083788 50.776207) (geo:wktLiteral)  | North Rhine-Westphalia (wd:Q1198) | North Rhine-Westphalia (en) |
| Abenberg (wd:Q261822)    | Abenberg (en)     | <https://www.abenberg.de/>               | POINT(10.961944 49.240555) (geo:wktLiteral) | Bavaria (wd:Q980)                 | Bavaria (en)                |
| Abensberg (wd:Q255698)   | Abensberg (en)    | <https://www.abensberg.de/>              | POINT(11.850130 48.816720) (geo:wktLiteral) | Bavaria (wd:Q980)                 | Bavaria (en)                |
| ...                      | ...               | ...                                      | ...                                         | ...                               | ...                         |
| Zwenkau (wd:Q10779)      | Zwenkau (en)      | <https://www.zwenkau.de/>                | POINT(12.324167 51.217500) (geo:wktLiteral) | Saxony (wd:Q1202)                 | Saxony (en)                 |
| Zwickau (wd:Q3778)       | Zwickau (en)      | <https://www.zwickau.de/>                | POINT(12.496111 50.718889) (geo:wktLiteral) | Saxony (wd:Q1202)                 | Saxony (en)                 |
| Zwiesel (wd:Q163091)     | Zwiesel (en)      | <http://www.zwiesel.de>                  | POINT(13.233333 49.016667) (geo:wktLiteral) | Bavaria (wd:Q980)                 | Bavaria (en)                |
| Zwingenberg (wd:Q244821) | Zwingenberg (en)  | <https://zwingenberg.de/>                | POINT(8.613889 49.722500) (geo:wktLiteral)  | Hesse (wd:Q1199)                  | Hesse (en)                  |
| Zwönitz (wd:Q58002)      | Zwönitz (en)      | <https://www.zwoenitz.de/>               | POINT(12.813333 50.630278) (geo:wktLiteral) | Saxony (wd:Q1202)                 | Saxony (en)                 |

[Assistant] Now I'll provide the final SPARQL query and a brief summary of the results (I already executed the query and validated it returned results). I'll finish by returning the query and the answer.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?person ?personLabel ?place ?placeLabel WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P19 ?place .
  FILTER NOT EXISTS {
    ?person wdt:P21 ?sex .
  }
  {
    FILTER ( ?place = wd:Q408 )
  } UNION {
    ?place wdt:P17 wd:Q408 .
  } UNION {
    ?place wdt:P131 * ?admin .
    ?admin wdt:P17 wd:Q408 .
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( lang( ?personLabel ) = "en" )
  }
  OPTIONAL {
    ?place rdfs:label ?placeLabel FILTER ( lang( ?placeLabel ) = "en" )
  }
}
LIMIT 1000

Using entities:
Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.
human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.

Using properties:
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.
sex or gender (wd:P21 as wdt), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                                 | personLabel                 | place                       | placeLabel          |
| -------------------------------------- | --------------------------- | --------------------------- | ------------------- |
| Geoffrey Robert Phipps (wd:Q102300535) | Geoffrey Robert Phipps (en) | Sydney (wd:Q3130)           | Sydney (en)         |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)   | Muŋgurrawuy Yunupiŋu (en)   | Arnhem Land (wd:Q329884)    | Arnhem Land (en)    |
| Nangapiana (wd:Q104268366)             | Nangapiana (en)             | Groote Eylandt (wd:Q678878) | Groote Eylandt (en) |
| Nik Michael Imran (wd:Q110134834)      | Nik Michael Imran (en)      | Brisbane (wd:Q34932)        | Brisbane (en)       |
| Vincent Brown (wd:Q110175144)          | Vincent Brown (en)          | Brisbane (wd:Q34932)        | Brisbane (en)       |
| ...                                    | ...                         | ...                         | ...                 |
| Jamie Grant (wd:Q55427878)             | Jamie Grant (en)            | Melbourne (wd:Q3141)        | Melbourne (en)      |
| Graham Stone (wd:Q57239827)            | Graham Stone (en)           | Norwood (wd:Q985768)        | Norwood (en)        |
| wd:Q61059979                           |                             | Queensland (wd:Q36074)      | Queensland (en)     |
| Rupert Ryder (wd:Q95690710)            | Rupert Ryder (en)           | Sydney (wd:Q3130)           | Sydney (en)         |
| Kim Jones (wd:Q98915654)               | Kim Jones (en)              | Sydney (wd:Q3130)           | Sydney (en)         |

Answer:
Thought process and steps taken:
- I identified the key concepts: humans (wd:Q5), place of birth (wdt:P19), Australia (wd:Q408), and sex or gender (wdt:P21).
- I built a query that finds humans with a place of birth that is either Australia itself, a place whose country (P17) is Australia, or a place contained (P131*) in some administrative entity whose country is Australia. I filtered out any person who has a P21 value.
- I executed the query to verify it returns results and to inspect samples.

Final SPARQL query (returns the IRIs of matching humans, with optional English labels and birth places):

SELECT DISTINCT ?person ?personLabel ?place ?placeLabel WHERE {
  ?person wdt:P31 wd:Q5.
  ?person wdt:P19 ?place.
  FILTER NOT EXISTS { ?person wdt:P21 ?sex. }
  {
    FILTER (?place = wd:Q408)
  } UNION {
    ?place wdt:P17 wd:Q408.
  } UNION {
    ?place wdt:P131* ?admin .
    ?admin wdt:P17 wd:Q408.
  }
  OPTIONAL { ?person rdfs:label ?personLabel FILTER (lang(?personLabel) = "en") }
  OPTIONAL { ?place rdfs:label ?placeLabel FILTER (lang(?placeLabel) = "en") }
} LIMIT 1000

Example results from running the query (samples returned by the endpoint):
- wd:Q102300535 (Geoffrey Robert Phipps) — place of birth: wd:Q3130 (Sydney)
- wd:Q104261117 (Muŋgurrawuy Yunupiŋu) — place of birth: wd:Q329884 (Arnhem Land)
- wd:Q104268366 (Nangapiana) — place of birth: wd:Q678878 (Groote Eylandt)
- wd:Q110134834 (Nik Michael Imran) — place of birth: wd:Q34932 (Brisbane)
- wd:Q110175144 (Vincent Brown) — place of birth: wd:Q34932 (Brisbane)
- wd:Q55427878 (Jamie Grant) — place of birth: wd:Q3141 (Melbourne)

You can run the provided query on Wikidata to obtain the full list (the query returns the person IRIs as required). If you want the complete unbounded list (no LIMIT) or additional properties (e.g., dates of birth), tell me and I will adjust the query.

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

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[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] Step 1: I'll identify the key entities and properties: Australia (entity), place of birth (property), sex or gender (property). I'll search for these in Wikidata to confirm their identifiers. I'll start by searching for the entity "Australia".

[Tool]
Top 10 entity alternatives:
1. Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.: is instance of sovereign state / is instance of federation / is instance of country / country in Oceania / country in Oceania / country in Oceania / country in Oceania
2. Australian continent (wd:Q3960, matched via Australia), also known as Australia, Australia (continent), Australinea, Meganesia, New Holland, etc.: continent in the Earth's Southern Hemisphere / continent in Earth's Southern Hemisphere / is instance of continent / continent
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann / is instance of film
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien / is instance of film
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers / is instance of single
6. Australia (wd:Q16835533): is instance of Horse / is instance of horse / Racehorse
7. Australia (wd:Q781244): is instance of board game / board game
8. Australia (wd:Q4823541), also known as Australia (KA–5): yacht that raced in the Americas Cup / is instance of sailing yacht
9. Australia (wd:Q12887638): village and ''consejo popular'' in Cuba / is instance of human settlement
10. Australia (wd:Q25907685): albedo feature on the planet Mercury / is instance of albedo feature

[Assistant] Now I'll verify the property identifiers for "place of birth" and "sex or gender" in Wikidata.

[Tool]
Top 10 property alternatives:
1. place of birth (wd:P19 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
2. residence (wd:P551 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via hometown), also known as address, has resided in, home city, home town, hometown, etc.: the place where the person is, or has been, resident / the place where the person is or has been, resident / is subproperty of location
3. category for people born here (wd:P1464 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via category for place of birth), also known as category for place of birth, category of people born here, P1464: category item that groups people born in this place / category item that groups people born in this place / is subproperty of related category
4. location of formation (wd:P740 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via place of formation), also known as comes from, formation location, formation place, formed in, founded in, etc.: location where a group or organisation was formed / location where a group or organization was formed / is subproperty of location of creation
5. location of creation (wd:P1071 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via place of origin), also known as assembly location, built at, built in, composed at, created at, etc.: place where the item was conceived or made; where applicable, location of final assembly / is subproperty of significant place
6. country of origin (wd:P495 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via place of origin), also known as comes from, CoO, country, originates from, origin country, etc.: country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / is subproperty of significant place / is subproperty of country
7. ranking (wd:P1352 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via place), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
8. location (wd:P276 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via place), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
9. applies to jurisdiction (wd:P1001 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via of place), also known as applicable area, applicable country, applicable geographic place, applicable jurisdiction, applicable location, etc.: the item (institution, law, public office, public ... jurisdiction: a country, state, municipality, ...) / the item (an institution, law, public office ...) or ... jurisdiction: a country, state, municipality, ...) / is subproperty of characteristic of / is subproperty of significant place / is subproperty of operating area
10. work location (wd:P937 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via location), also known as active in, conducts business at, conducts business in, did work at, did work from, etc.: location where persons or organisations were actively participating in employment, business or other work / is subproperty of significant place / location where persons were active / is subproperty of location

[Assistant] Place of birth is P19. Next, search for "sex or gender" property.

[Tool]
Top 10 property alternatives:
1. sex or gender (wd:P21 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as biological sex, gender, gender expression, gender identity, gender or sex, etc.: sexual identity of subject: male (Q6581097), female ... (Q43445). Groups of same gender use "subclass of" (P279) / sex or gender identity: male (Q6581097), female (Q6581072), ... (Q43445). Groups of same gender use subclass of (P279) / sex or gender identity of human or animal. For human: male, ... female organism. Groups of same gender use subclass of (P279)
2. requires grammatical feature (wd:P5713 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via uses gender), also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case, etc.: grammatical features required or generally used with lexeme or form of lexeme
3. grammatical gender (wd:P5185 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via gender), also known as gender, P5185: grammatical gender of the word / grammatical gender of the word / grammatical gender of the word
4. sexual orientation (wd:P91 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via sexuality), also known as sexuality, P91: the sexual orientation of the person relative to their ... has been widely agreed upon by historians after their death / the sexual orientation of the person — use IF AND ONLY IF ... has been widely agreed upon by historians after their death / the sexual orientation of the person — use IF AND ONLY IF ... has been widely agreed upon by historians after their death
5. has grammatical gender (wd:P5109 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via has genders), also known as grammatical genders, has genders, P5109: specific form of noun class system of a language. Use ... of" (P805) to link to language specific item if present
6. semantic gender (wd:P10339 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via natural gender), also known as natural gender, P10339: 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. male form of label (wd:P3321 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via male gender sense), also known as male form of label (string), male gender sense, masculine form of label, P3321: male form of name or title (for female use P2521) / male form of name or title / male form of name or title
8. GSSO ID (wd:P9827 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Gender, Sex, and Sexual Orientation Ontology identifier), also known as Gender, Sex, and Sexual Orientation Ontology ID, Gender, Sex, and Sexual Orientation Ontology identifier, GSSO identifier, P9827: identifier for controlled vocabulary in the GSSO (Gender, Sex, and Sexual Orientation) ontology
9. unmarried partner (wd:P451 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via sex partner), also known as boyfriend, cohabitant, domestic partner, enbyfriend, girlfriend, etc.: someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples / is subproperty of significant person
10. female form of label (wd:P2521 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via female gender sense), also known as female form of label (string), female gender sense, feminine form of label, P2521: female form of name or title (for male use P3321) / female form of name or title / female form of name or title

[Assistant] I'll run an initial SPARQL query to find humans (?person wdt:P31 wd:Q5) with a place of birth (?person wdt:P19 ?place) that is either Australia (wd:Q408), has country P17 Australia, or is located (via P131 administrative chain) within an entity whose country is Australia. I will filter out any person that has a P21 (sex or gender) value. I'll limit results to 50 rows to inspect the output.

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                    | personLabel     | place                | placeLabel    |
| ------------------------- | --------------- | -------------------- | ------------- |
| Ken Taylor (wd:Q55422449) | Ken Taylor (en) | Ballarat (wd:Q17856) | Ballarat (en) |
| Ken Taylor (wd:Q55422449) | Ken Taylor (en) | Ballarat (wd:Q17856) | Ballarat (en) |
| Ken Taylor (wd:Q55422449) | Ken Taylor (en) | Ballarat (wd:Q17856) | Ballarat (en) |
| Ken Taylor (wd:Q55422449) | Ken Taylor (en) | Ballarat (wd:Q17856) | Ballarat (en) |
| Ken Taylor (wd:Q55422449) | Ken Taylor (en) | Ballarat (wd:Q17856) | Ballarat (en) |
| ...                       | ...             | ...                  | ...           |
| J-Trick (wd:Q24950544)    | J-Trick (en)    | Sydney (wd:Q3130)    | Sydney (en)   |
| wd:Q31706780              |                 | Sydney (wd:Q3130)    | Sydney (en)   |
| wd:Q31706780              |                 | Sydney (wd:Q3130)    | Sydney (en)   |
| wd:Q31706780              |                 | Sydney (wd:Q3130)    | Sydney (en)   |
| wd:Q31706780              |                 | Sydney (wd:Q3130)    | Sydney (en)   |

[Assistant] I'll check the Wikidata item for 'administrative territorial entity' to confirm its identifier and usage.

[Tool]
Top 10 entity alternatives:
1. administrative territorial entity (wd:Q56061), also known as administrative divisions, administrative region, administrative unit, constituent unit: territorial entity for administration purposes, with or without its own local government / territorial entity for administration purposes, with or without its own local government / territorial entity for administration purposes, with or without its own local government / is subclass of human-geographic territorial entity / is subclass of political entity
2. autonomous administrative territorial entity (wd:Q788176), also known as autonomous administrative division, autonomous area, autonomous province, autonomous region, autonomous republic, etc.: is instance of administrative territorial entity type / region with some freedom from its central government / is subclass of administrative territorial entity / is subclass of political territorial entity
3. police administrative territorial entity (wd:Q114839325): is subclass of human-geographic territorial entity / law enforcement administrative territorial entity / is subclass of administrative territorial entity
4. non-political administrative territorial entity (wd:Q15642566): country subdivision that does not have its own government and exists only for administrative purposes / is subclass of administrative territorial entity
5. administrative territorial entity type (wd:Q15617994), also known as type of administrative territorial entity: type of administrative divisions, usually used in several countries / is subclass of territorial entity type / is subclass of type of institution / is instance of second-order class / is subclass of legal form / is subclass of class / is subclass of name
6. religious administrative territorial entity (wd:Q20926517), also known as ecclesiastical subdivision, religious territorial entity: is subclass of human-geographic territorial entity / is subclass of administrative territorial entity / religious administration over a geographic area / is subclass of religious administrative entity
7. former administrative territorial entity (wd:Q19953632), also known as extinct administrative division, former administrative division, former country subdivision, former state: is subclass of historical administrative division / administrative division which is no longer in use / is subclass of administrative territorial entity / is subclass of historical geographic location / is subclass of former geographical object
8. historical administrative division (wd:Q19832712, matched via historical administrative territorial entity), also known as historical administrative territorial entity: administrative division which existed in the past, that may ... (Use subclass Q19953632 for divisions which no longer exist). / is subclass of administrative territorial entity / is subclass of historical region
9. administrative territorial entity identifier (wd:Q36205316), also known as ATE ID: identifier system for geographic or territorial entities of any level / is subclass of geocode
10. fictional administrative territorial entity (wd:Q64034456): administrative territorial entity which only exists in a work of fiction / is subclass of fictional artificial entity / is subclass of fictional location

[Assistant]
My previous query returned multiple duplicate rows per person — likely due to multiple administrative paths. I need to refine the query to ensure unique persons and to correctly capture places born in Australia or within administrative territorial entities in Australia. Also I should ensure humans born directly in Australia or in any place whose country is Australia or which is contained (P131*) in an admin entity whose country is Australia.

I'll craft a refined query:
- Select DISTINCT ?person
- ?person wdt:P31 wd:Q5
- ?person wdt:P19 ?place
- Filter: either ?place = wd:Q408 OR ?place wdt:P17 wd:Q408 OR (?place wdt:P131* ?admin . ?admin wdt:P17 wd:Q408)
- Filter NOT EXISTS { ?person wdt:P21 ?sex }
Return ?person and optionally labels.

I'll execute that.

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                                 | personLabel                 | place                       | placeLabel          |
| -------------------------------------- | --------------------------- | --------------------------- | ------------------- |
| Geoffrey Robert Phipps (wd:Q102300535) | Geoffrey Robert Phipps (en) | Sydney (wd:Q3130)           | Sydney (en)         |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)   | Muŋgurrawuy Yunupiŋu (en)   | Arnhem Land (wd:Q329884)    | Arnhem Land (en)    |
| Nangapiana (wd:Q104268366)             | Nangapiana (en)             | Groote Eylandt (wd:Q678878) | Groote Eylandt (en) |
| Nik Michael Imran (wd:Q110134834)      | Nik Michael Imran (en)      | Brisbane (wd:Q34932)        | Brisbane (en)       |
| Vincent Brown (wd:Q110175144)          | Vincent Brown (en)          | Brisbane (wd:Q34932)        | Brisbane (en)       |
| ...                                    | ...                         | ...                         | ...                 |
| Jamie Grant (wd:Q55427878)             | Jamie Grant (en)            | Melbourne (wd:Q3141)        | Melbourne (en)      |
| Graham Stone (wd:Q57239827)            | Graham Stone (en)           | Norwood (wd:Q985768)        | Norwood (en)        |
| wd:Q61059979                           |                             | Queensland (wd:Q36074)      | Queensland (en)     |
| Rupert Ryder (wd:Q95690710)            | Rupert Ryder (en)           | Sydney (wd:Q3130)           | Sydney (en)         |
| Kim Jones (wd:Q98915654)               | Kim Jones (en)              | Sydney (wd:Q3130)           | Sydney (en)         |

[Assistant]
The query returns many items including some without English labels. The user asked: "Which humans who were born in Australia or in any administrative territorial entity within Australia do not have a specified sex or gender?"

We need to provide a SPARQL query that returns humans born in Australia or in any admin territorial entity within Australia who lack P21. The query should return the actual IRIs of the persons. It should also ensure that "administrative territorial entity within Australia" is interpreted as any place whose P131 chain leads to an admin entity with country Australia, or that the place's country is Australia. Already included.

I should ensure we restrict place to be an instance of administrative territorial entity or be Australia itself. The user asked "born in Australia or in any administrative territorial entity within Australia" — that suggests place of birth is either Australia (Q408) or an entity that is an instance/subclass of administrative territorial entity located in Australia. But many places like cities have P17=Australia and/or P131 chain to Australia.

Maybe better approach:
- ?place wdt:P31/wdt:P279* wd:Q56061 (instance of or subclass of administrative territorial entity) AND (?place wdt:P17 wd:Q408 OR ?place wdt:P131* ?admin . ?admin wdt:P17 wd:Q408) OR ?place = wd:Q408
But some places like Australian states may be instances of administrative territorial entity (Q56061). Many specific populated places are instances of human settlement (Q486972), which are not subclass of administrative territorial entity. The user phrasing likely intends: place of birth that is Australia or is located within Australia (i.e., administrative territorial entity within Australia). The earlier approach (place country P17=Australia or P131* to admin with P17=Australia) seems fine.

We must explain thought process before and after each function call. We've already explained before each. Need to continue: now finalize the SPARQL query and execute it as final to make sure it returns results. The final SPARQL should select DISTINCT ?person and optionally ?personLabel ?place ?placeLabel. Use FILTER NOT EXISTS for P21. Also ensure limit maybe high or none; but could be large — but requirement is to execute final query before answer. I'll write query without LIMIT but perhaps returned thousands. But tool can handle it; earlier queries showed many. I'll limit to 1000 to be safer. The instructions: SPARQL should return actual IRIs — good.

I'll now explain I'm crafting final query then execute it.
Now I'll run the final SPARQL query that selects distinct humans (?person wdt:P31 wd:Q5) with a place of birth (?person wdt:P19 ?place) that is either Australia (wd:Q408), has country P17 Australia, or is located within an administrative chain with country Australia. It filters out any person who has a sex or gender (wdt:P21). I'll return the person IRI and optional English labels and the place. I'll set a reasonable limit of 1000. Then I'll execute it.

[Tool]
Got 50 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                                 | personLabel                 | place                       | placeLabel          |
| -------------------------------------- | --------------------------- | --------------------------- | ------------------- |
| Geoffrey Robert Phipps (wd:Q102300535) | Geoffrey Robert Phipps (en) | Sydney (wd:Q3130)           | Sydney (en)         |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)   | Muŋgurrawuy Yunupiŋu (en)   | Arnhem Land (wd:Q329884)    | Arnhem Land (en)    |
| Nangapiana (wd:Q104268366)             | Nangapiana (en)             | Groote Eylandt (wd:Q678878) | Groote Eylandt (en) |
| Nik Michael Imran (wd:Q110134834)      | Nik Michael Imran (en)      | Brisbane (wd:Q34932)        | Brisbane (en)       |
| Vincent Brown (wd:Q110175144)          | Vincent Brown (en)          | Brisbane (wd:Q34932)        | Brisbane (en)       |
| ...                                    | ...                         | ...                         | ...                 |
| Jamie Grant (wd:Q55427878)             | Jamie Grant (en)            | Melbourne (wd:Q3141)        | Melbourne (en)      |
| Graham Stone (wd:Q57239827)            | Graham Stone (en)           | Norwood (wd:Q985768)        | Norwood (en)        |
| wd:Q61059979                           |                             | Queensland (wd:Q36074)      | Queensland (en)     |
| Rupert Ryder (wd:Q95690710)            | Rupert Ryder (en)           | Sydney (wd:Q3130)           | Sydney (en)         |
| Kim Jones (wd:Q98915654)               | Kim Jones (en)              | Sydney (wd:Q3130)           | Sydney (en)         |

[Tool] Stopping