PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ( ( ?lon1 + ?lon2 ) / 2 AS ?midLongitude ) ( ( ?lat1 + ?lat2 ) / 2 AS ?midLatitude ) WHERE {
  wd:Q90 wdt:P625 ?parisCoord .
  wd:Q240798 wdt:P625 ?montignyCoord .
  BIND( STRBEFORE( STRAFTER( STR( ?parisCoord ) , "POINT(" ) , " " ) AS ?lon1Str ) BIND( STRAFTER( STRBEFORE( STRAFTER( STR( ?parisCoord ) , "POINT(" ) , ")" ) , " " ) AS ?lat1Str ) BIND( STRBEFORE( STRAFTER( STR( ?montignyCoord ) , "POINT(" ) , " " ) AS ?lon2Str ) BIND( STRAFTER( STRBEFORE( STRAFTER( STR( ?montignyCoord ) , "POINT(" ) , ")" ) , " " ) AS ?lat2Str ) BIND( xsd:decimal ( ?lon1Str ) AS ?lon1 ) BIND( xsd:decimal ( ?lat1Str ) AS ?lat1 ) BIND( xsd:decimal ( ?lon2Str ) AS ?lon2 ) BIND( xsd:decimal ( ?lat2Str ) AS ?lat2 )
}

The geographic midpoint has latitude ((48.856667 + 48.770556)/2 = 48.8136115) and longitude ((2.352222 + 2.032500)/2 = 2.192361).

[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

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

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

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

[User] What is the geographic point that represents the midpoint of the coordinates of Paris (the capital of France) and Montigny-le-Bretonneux (a commune in Yvelines, France)? Return one column for the latitude and one column for the longitude

[Assistant]
Let's break down the problem:

1. We need the coordinates (latitude and longitude) of Paris and Montigny-le-Bretonneux.
2. We need to calculate the midpoint between these two sets of coordinates.
3. The result should be two columns: latitude and longitude.

Step 1: Find the Wikidata entities for Paris and Montigny-le-Bretonneux.
Step 2: Find the property for coordinates.
Step 3: Write a SPARQL query to get the coordinates for both, calculate the midpoint, and return the result.

Let's start by searching for the entities for Paris and Montigny-le-Bretonneux.

[Tool]
Top 10 entity alternatives:
1. Paris, also known as City of Love, Lutetia, City of Light (wd:Q90): capital city and largest city of France
2. Paris Saint-Germain FC, also known as Paris Saint-Germain, Paris, PSGFC, PSG, Paris Saint-Germain Football Club (wd:Q483020): association football club in Paris, France
3. Paris, also known as Alexandros, Alexander (wd:Q167646): mythological son of Priam, king of Troy, herder
4. Paris, also known as Paris, Texas, Paris, TX (wd:Q830149): city in and county seat of Lamar County, Texas, United States
5. Paris, also known as Paris, ID, Paris, Idaho (wd:Q984459): city in Idaho, United States
6. Paris (wd:Q162121): genus of plants
7. Paris, also known as Paris, IL, Paris Illinois, Paris, Illinois (wd:Q576584): city in Illinois
8. Paris, also known as Paris, AR, Paris, Arkansas (wd:Q79917): city in Arkansas, United States
9. Paris, also known as Paris, KY, Paris, Kentucky (wd:Q3181341): county seat of Bourbon County, Kentucky, United States
10. Paris, also known as Paris, KY, Paris, Kentucky (wd:Q3181341): county seat of Bourbon County, Kentucky, United States

[Tool]
Top 10 entity alternatives:
1. Montigny-le-Bretonneux (wd:Q240798): commune in Yvelines, France
2. Montigny-le-Bretonneux (wd:Q240798): commune in Yvelines, France
3. AS Montigny-le-Bretonneux (wd:Q2868096): football club
4. canton of Montigny-le-Bretonneux (wd:Q1726322): canton of France
5. temple de Montigny-le-Bretonneux (wd:Q60428202): meeting house located in Yvelines, in France
6. Mayor of Montigny-le-Bretonneux (wd:Q62587392)
7. municipality of Montigny-le-Bretonneux, also known as Montigny-le-Bretonneux city government, City of Montigny-le-Bretonneux, Administration of Montigny-le-Bretonneux (wd:Q118540991): municipal government of Montigny-le-Bretonneux, France
8. Église Saint-Quentin-des-Sources de Montigny-le-Bretonneux (wd:Q41802013): church located in Yvelines, in France
9. église Saint-Pierre-du-Lac de Montigny-le-Bretonneux (wd:Q41802014): church located in Yvelines, in France
10. Église Saint-Martin de Montigny-le-Bretonneux (wd:Q41802011): church located in Yvelines, in France

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): links coordinate zoological names, different from
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): indicate when something happens relative to its beginning
4. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic starting coordinate of the biological sequence (e.g. a gene)
5. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): frame of reference used to produce a map
6. y-offset, also known as ordinate, y-axis (wd:P8685 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): offset on the y-axis or secondary axis
7. genomic end, also known as stop coordinate, stop, genomic stop, Genloc End, Genloc Stop (wd:P645 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic ending coordinate of the biological sequence (e.g. a gene)
8. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject's ordinal position as qualitatively evaluated relative to other members of a group
9. political alignment, also known as political position, alignment (wd:P1387 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): political position within the left–right political spectrum
10. orientation, also known as alignment, direction, face, faces, facing (wd:P7469 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)

[Tool]
Got 1 row and 2 columns:
| parisCoord                                 | montignyCoord                              |
| ------------------------------------------ | ------------------------------------------ |
| POINT(2.352222 48.856667) (geo:wktLiteral) | POINT(2.032500 48.770556) (geo:wktLiteral) |

[Assistant]
We have retrieved the coordinates as WKT points:
- Paris: POINT(2.352222 48.856667)
- Montigny-le-Bretonneux: POINT(2.032500 48.770556)

To find the midpoint, we need to average the longitudes and latitudes:
- Longitude: (2.352222 + 2.032500) / 2
- Latitude: (48.856667 + 48.770556) / 2

Let's write a SPARQL query that extracts the coordinates, computes the averages, and returns them as latitude and longitude columns.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?commune ?communeLabel WHERE {
  ?commune wdt:P31 wd:Q17318027 ; wdt:P17 wd:Q1028 .
  OPTIONAL {
    ?commune rdfs:label ?communeLabel FILTER ( lang( ?communeLabel ) = "en" )
  }
}

Got 1,276 rows and 2 columns, showing the first 5 and last 5 rows below:
| commune                           | communeLabel             |
| --------------------------------- | ------------------------ |
| Telouet (wd:Q1010760)             | Telouet (en)             |
| M'Hamid El Ghizlane (wd:Q1014625) | M'Hamid El Ghizlane (en) |
| Nkob (wd:Q10334921)               | Nkob (en)                |
| Sidi Borja (wd:Q11131837)         | Sidi Borja (en)          |
| Sidi Ouaaziz (wd:Q11220738)       | Sidi Ouaaziz (en)        |
| ...                               | ...                      |
| Bouarg (wd:Q894944)               | Bouarg (en)              |
| Bab Taza (wd:Q920156)             | Bab Taza (en)            |
| Souk Tlet El Gharb (wd:Q952999)   | Souk Tlet El Gharb (en)  |
| Oulad Youssef (wd:Q956049)        | Oulad Youssef (en)       |
| Alnif (wd:Q984312)                | Alnif (en)               |

The rural communes of Morocco are all entities that are an instance of 'rural commune of Morocco' (wd:Q17318027) and have country 'Morocco' (wd:Q1028). Examples include Telouet, M'Hamid El Ghizlane, Nkob, Sidi Borja, and Sidi Ouaaziz. The full list contains over 1,200 rural communes.

[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

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 rural communes of Morocco?

[Assistant]
Let's break down the question:

1. The user is asking for the rural communes of Morocco.
2. We need to identify the entity for "Morocco" and the concept of "rural commune".
3. We also need to find the property that links communes to Morocco, and a way to filter for "rural" communes.

Step 1: Search for the entity "Morocco".

[Tool]
Top 10 entity alternatives:
1. Morocco, also known as ⵎⵓⵔⴰⴽⵓⵛ, Marocco, MAR, ma, Lmaġrib (wd:Q1028): sovereign state in North Africa
2. Morocco, also known as al-Maġrib, Kingdom of Morocco, ⵎⵓⵔⴰⴽⵓⵛ, Lmaġrib, ma (wd:Q1028): sovereign state in North Africa
3. Morocco (wd:Q577754): 1930 film by Josef von Sternberg and Henry Hathaway
4. Morocco, also known as Morocco, IN, Morocco, Indiana (wd:Q2374422): town in Indiana, United States
5. Morocco leather, also known as Levant, Morocco (wd:Q2118555): soft, pliable leather used for bookbinding, wallets, linings for luggage, gloves and shoes
6. Morocco at the 1960 Summer Olympics, also known as 1960 Summer Olympics, Morocco (wd:Q2149869): sporting event delegation
7. Exit Marrakech, also known as Morocco (wd:Q14949869): 2013 film by Caroline Link
8. Sharifian Empire, also known as Morocco (wd:Q12183875): historical name given to Morocco
9. blouza, also known as Morocco (wd:Q2907091): traditional dress of Morocco and Algeria, traditional dress of Algeria
10. Morocco titular see, also known as Marocco, Marruecos titular see, Morocco, Titular see of Marocco (wd:Q3708053): titular see

[Assistant]
The main entity for Morocco as a country is wd:Q1028.

Next, I need to identify the concept of "rural commune" in Wikidata. I'll search for "rural commune" to find the relevant entity or class.

[Tool]
Top 10 entity alternatives:
1. rural commune of Morocco, also known as rural commune (wd:Q17318027): administrative division of Morocco
2. rural commune of Vietnam, also known as xã, Xã, xa (wd:Q2389082): type of subdivision of Vietnam
3. rural commune of Vietnam, also known as xã, Xã, xa (wd:Q2389082): type of subdivision of Vietnam
4. commune rurale de Nojaï-Iourt (wd:Q24636444): human settlement in Nozhay-Yurtovsky District, Chechen Republic, Russia
5. Health in a Rural Hippie Commune (wd:Q41557175): scientific article published on August 24, 1970
6. L'habitat rural dans une commune bretonne. (wd:Q127723686): scholarly article
7. [Rural pharmacy and the communes.] (wd:Q78953786): scientific article published on 01 July 1960
8. Paris Commune, also known as Commune (wd:Q133132): Revolutionary city council of Paris in 1871
9. commune of France, also known as commune, commune (France) (wd:Q484170): France territorial subdivision for municipalities
10. commune, also known as comune (wd:Q3266850): administrative entity in different countries

[Assistant]
The relevant entity for "rural commune of Morocco" is wd:Q17318027.

Now, I need to find how rural communes are linked to Morocco. Typically, this would be through a property like "located in the administrative territorial entity" or "country". I'll search for properties related to "country" or "location" for rural communes.

[Tool]
Top 10 property alternatives:
1. 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
2. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
3. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
4. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdt/p): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
5. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain

No other items found

[Assistant]
The property "country" (wdt:P17) is used to indicate the country a rural commune belongs to.

Now, I need to find all entities that are an instance of "rural commune of Morocco" (wd:Q17318027) and have country "Morocco" (wd:Q1028). The property for "instance of" is typically wdt:P31.

I'll construct a SPARQL query to retrieve all rural communes of Morocco, returning their IRIs and optionally their labels.

[Tool]
Got 1,276 rows and 2 columns, showing the first 5 and last 5 rows below:
| commune                           | communeLabel             |
| --------------------------------- | ------------------------ |
| Telouet (wd:Q1010760)             | Telouet (en)             |
| M'Hamid El Ghizlane (wd:Q1014625) | M'Hamid El Ghizlane (en) |
| Nkob (wd:Q10334921)               | Nkob (en)                |
| Sidi Borja (wd:Q11131837)         | Sidi Borja (en)          |
| Sidi Ouaaziz (wd:Q11220738)       | Sidi Ouaaziz (en)        |
| ...                               | ...                      |
| Bouarg (wd:Q894944)               | Bouarg (en)              |
| Bab Taza (wd:Q920156)             | Bab Taza (en)            |
| Souk Tlet El Gharb (wd:Q952999)   | Souk Tlet El Gharb (en)  |
| Oulad Youssef (wd:Q956049)        | Oulad Youssef (en)       |
| Alnif (wd:Q984312)                | Alnif (en)               |

[Tool] Stopped generation process


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

Got 2,466 rows and 6 columns, showing the first 5 and last 5 rows below:
| municipality                 | municipalityLabel      | website                                | coordinates                                 | state                               | stateLabel                  |
| ---------------------------- | ---------------------- | -------------------------------------- | ------------------------------------------- | ----------------------------------- | --------------------------- |
| Aachen (wd:Q1017)            | Aachen (en)            | <https://www.aachen.de/>               | POINT(6.083788 50.776207) (geo:wktLiteral)  | Aachen (wd:Q1803047)                | Aachen (en)                 |
| Aachen (wd:Q1017)            | Aachen (en)            | <https://www.aachen.de/>               | POINT(6.083788 50.776207) (geo:wktLiteral)  | Aachen cities region (wd:Q6272)     | Aachen cities region (en)   |
| Aachen (wd:Q1017)            | Aachen (en)            | <https://www.aachen.de/>               | POINT(6.083788 50.776207) (geo:wktLiteral)  | Aachen (wd:Q7379734)                | Aachen (en)                 |
| Stuttgart (wd:Q1022)         | Stuttgart (en)         | <https://www.stuttgart.de/>            | POINT(9.180000 48.777500) (geo:wktLiteral)  | Kingdom of Württemberg (wd:Q159631) | Kingdom of Württemberg (en) |
| Stuttgart (wd:Q1022)         | Stuttgart (en)         | <https://www.stuttgart.de/>            | POINT(9.180000 48.777500) (geo:wktLiteral)  | Neckarkreis (wd:Q1122124)           | Neckarkreis (en)            |
| ...                          | ...                    | ...                                    | ...                                         | ...                                 | ...                         |
| Bernau bei Berlin (wd:Q9300) | Bernau bei Berlin (en) | <https://www.bernau.de/>               | POINT(13.583056 52.666667) (geo:wktLiteral) | Barnim District (wd:Q6115)          | Barnim District (en)        |
| Eberswalde (wd:Q9306)        | Eberswalde (en)        | <https://www.eberswalde.de/>           | POINT(13.833056 52.833056) (geo:wktLiteral) | Barnim District (wd:Q6115)          | Barnim District (en)        |
| Bad Doberan (wd:Q9536)       | Bad Doberan (en)       | <https://bad-doberan-heiligendamm.de/> | POINT(11.905278 54.106944) (geo:wktLiteral) | Rostock District (wd:Q2898)         | Rostock District (en)       |
| Neubukow (wd:Q9638)          | Neubukow (en)          | <https://www.neubukow.de/>             | POINT(11.676600 54.030700) (geo:wktLiteral) | Rostock District (wd:Q2898)         | Rostock District (en)       |
| Warburg (wd:Q968)            | Warburg (en)           | <https://www.warburg.de/>              | POINT(9.140000 51.488056) (geo:wktLiteral)  | Höxter (wd:Q6228)                   | Höxter (en)                 |

This query returns all urban municipalities in Germany, along with their official website, coordinates, and parent federated state (with English labels 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

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

[Assistant]
Let's break down the question:

1. We need to find "urban municipalities" in Germany. In Wikidata, these are often called "urban municipality" or "urban district" (sometimes "kreisfreie Stadt" in German).
2. For each, we want:
   - Its official website
   - Its coordinates (if available)
   - Its parent federated state (i.e., the German state it belongs to)

Step 1: Identify the entity for "urban municipality" in Germany.
Step 2: Identify the property for "official website".
Step 3: Identify the property for "coordinates".
Step 4: Identify the property for "parent federated state".

Let's start by searching for the entity "urban municipality" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. urban municipality, also known as urban gmina (wd:Q2616791): administrative division of Poland
2. Municipio Urbaneja, also known as Turístico Diego Bautista Urbaneja Municipality, Urbaneja Municipality (wd:Q2023615): second-level administrative division in the Anzoátegui State, Venezuela
3. urban-rural municipality, also known as urban-rural gmina (wd:Q3491915): administrative division of Poland
4. an urban municipality (wd:L1138646-S1)
5. an urban municipality (wd:L1138645-S1)
6. urban municipality in Germany, also known as city of Germany, city municipality of Germany (wd:Q42744322): municipality with town privileges in Germany (may e.g. legally prepend "Stadt" to its name)
7. urban municipality in Sweden (wd:Q12015578): 1863–1970
8. municipality of Estonia, also known as municipalities of Estonia, urban or rural municipality of Estonia (wd:Q612229): lowest administrative division in Estonia
9. urban area in Gotland Municipality, Sweden (wd:L454520-S1)
10. municipality, also known as municipalities (wd:Q15284): administrative division having corporate status and usually powers of self-government or jurisdiction

[Assistant]
The most relevant entity for "urban municipality" in Germany is wd:Q42744322 ("urban municipality in Germany", also known as "city of Germany", "city municipality of Germany").

Next, let's identify the property for "official website".

[Tool]
Top 10 property alternatives:
1. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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
2. official shop URL, also known as online store, shop, shop URL, store, store URL (wd:P10225 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official URL where the agent sells products/merchandise, official website
3. official wiki URL, also known as official wiki, official wiki website, wiki, wiki URL, wiki website (wd:P12203 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of the official wiki for the item, URL
4. house publication, also known as has mouthpiece, publishes, publication, organization publication, organisation publication (wd:P2813 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): media that speaks for an organization or a movement, and that is usually edited by its members
5. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL to the sitemap of the subject's official website, URL
6. title of broader work, also known as container title, website title (wd:P6333 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): title of website, journal or other work in which an article (or ...is published in. Use "published in" (P1433) instead if possible.
7. login URL, also known as sign-in URL, sign in URL, sign-in page, sign in page, login page (wd:P11903 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of a webpage used to log into a service, URL
8. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Wikimedia portal associated with this topic
9. official jobs URL, also known as official careers website, official careers URL, jobs website, jobs URL, careers URL (wd:P10311 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): web page for jobs an employer offers, URL
10. official list URL (wd:P12388 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of a website listing instances of the subject, maintained by the authority on the subject

[Assistant]
The property for "official website" is wd:P856.

Next, let's identify the property for "coordinates".

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): links coordinate zoological names, different from
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): indicate when something happens relative to its beginning
4. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic starting coordinate of the biological sequence (e.g. a gene)
5. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): frame of reference used to produce a map
6. y-offset, also known as ordinate, y-axis (wd:P8685 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): offset on the y-axis or secondary axis
7. genomic end, also known as stop coordinate, stop, genomic stop, Genloc End, Genloc Stop (wd:P645 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic ending coordinate of the biological sequence (e.g. a gene)
8. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): subject's ordinal position as qualitatively evaluated relative to other members of a group
9. political alignment, also known as political position, alignment (wd:P1387 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): political position within the left–right political spectrum
10. orientation, also known as alignment, direction, face, faces, facing (wd:P7469 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)

[Assistant]
The property for "coordinate location" is wd:P625.

Now, let's identify the property for "parent federated state" (i.e., the German state to which the urban municipality belongs). Let's search for "federated state" property.

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. union of, also known as exhaustive union of (wd:P2737 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): every instance of this class is an instance of at least one clas... "list item" P11260 as qualifiers to specify the list of classes
4. disjoint union of, also known as disjunction among, disjunction between, union of (wd:P2738 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): every instance of this class is an instance of exactly one class... "list item" P11260 as qualifiers to specify the list of classes, union of
5. Federal-State Cooperative System ID, also known as FSCS ID (wd:P6618 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for libraries in the United States, assigned by the Institute of Museum and Library Services
6. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (list of) direct subdivisions of an administrative territorial entity, has part(s)
7. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
8. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): political office that is fulfilled by the head of state of this item
9. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): official with the highest formal authority in a country/state, director / manager, chairperson
10. country of registry, also known as ship's flag, flag state, flag of convenience (wd:P8047 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): country where a ship is or has been registered, country

[Assistant]
The property "located in the administrative territorial entity" (wd:P131) is the most appropriate for linking an urban municipality to its parent federated state.

Now, let's summarize:
- Urban municipality in Germany: wd:Q42744322
- Official website: wdt:P856
- Coordinates: wdt:P625
- Parent federated state: wdt:P131

Next, let's check how urban municipalities in Germany are modeled in Wikidata. Are they instances (P31) of wd:Q42744322, or is there a subclass structure? Let's list some instances of wd:Q42744322.

[Tool]
Got 2,085 rows and 3 columns, showing the first 10 rows below:
| subject               | property              | object                                       |
| --------------------- | --------------------- | -------------------------------------------- |
| Berlin (wd:Q64)       | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Munich (wd:Q1726)     | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Hamburg (wd:Q1055)    | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Uetersen (wd:Q1404)   | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Frankfurt (wd:Q1794)  | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Cologne (wd:Q365)     | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Dresden (wd:Q1731)    | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Stuttgart (wd:Q1022)  | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Düsseldorf (wd:Q1718) | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| Hanover (wd:Q1715)    | instance of (wdt:P31) | urban municipality in Germany (wd:Q42744322) |
| ...                   | ...                   | ...                                          |

[Assistant]
Urban municipalities in Germany are modeled as instances (wdt:P31) of wd:Q42744322. Now, let's construct a SPARQL query to retrieve:

- The IRI of each urban municipality in Germany
- Its official website (if available)
- Its coordinates (if available)
- Its parent federated state (if available)

We will also try to get the labels for the municipality and the federated state for easier interpretation, but these will be optional.

Here is the SPARQL query:

[Tool] Stopped generation process


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

Got 50 rows and 2 columns, showing the first 5 and last 5 rows below:
| human                                  | place                       |
| -------------------------------------- | --------------------------- |
| Geoffrey Robert Phipps (wd:Q102300535) | Sydney (wd:Q3130)           |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)   | Arnhem Land (wd:Q329884)    |
| Nangapiana (wd:Q104268366)             | Groote Eylandt (wd:Q678878) |
| Nik Michael Imran (wd:Q110134834)      | Brisbane (wd:Q34932)        |
| Vincent Brown (wd:Q110175144)          | Brisbane (wd:Q34932)        |
| ...                                    | ...                         |
| Jamie Grant (wd:Q55427878)             | Melbourne (wd:Q3141)        |
| Graham Stone (wd:Q57239827)            | Norwood (wd:Q985768)        |
| wd:Q61059979                           | Queensland (wd:Q36074)      |
| Rupert Ryder (wd:Q95690710)            | Sydney (wd:Q3130)           |
| Kim Jones (wd:Q98915654)               | Sydney (wd:Q3130)           |

These are humans who were born in Australia or any administrative territorial entity within Australia and do not have a specified sex or gender. The query returns their Wikidata IRIs and the place of birth.

[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

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 (so, 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 (i.e., the "sex or gender" property is not present).

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 "instance of".
Step 6: Find the property for "country" or "located in the administrative territorial entity" to get sub-entities within Australia.

Let's start by searching for the entities and properties.

[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

[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

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

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

[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/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
3. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. subproperty of, also known as subclass of property, superproperty, subPropertyOf, rdfs:subPropertyOf, parent property (wd:P1647 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): all resources related by this property are also related by that property, related property
5. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): object that partially overlaps with the subject in its instances, parts, or members, different from
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
8. exemplar of, also known as contains work, includes work, contents (wd:P1574 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): Links an individual copy of a work to the item for that work or edition, instance of
9. usage example, also known as sentence, use in a sentence, example sentence (wd:P5831 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): example of how a lexeme (sense) might be used
10. fictional or mythical analog of, also known as fictionalisation of, mythical analog of, fictional version of, fictionalization of, fictional analog of (wd:P1074 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): used to link an entity or class of entities appearing in a creat...with the analogous entity or class of entities in the real world, inspired by

[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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): 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 wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): (list of) statistical territorial entities which are direct subd...ions of another statistical or administrative territorial entity, has part(s)

[Tool]
Got 16 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                                  | object                              |
| ------------------- | --------------------------------------------------------- | ----------------------------------- |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | New South Wales (wd:Q3224)          |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Tasmania (wd:Q34366)                |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Queensland (wd:Q36074)              |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Christmas Island (wd:Q31063)        |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Victoria (wd:Q36687)                |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | South Australia (wd:Q35715)         |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Norfolk Island (wd:Q31057)          |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Western Australia (wd:Q3206)        |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Northern Territory (wd:Q3235)       |
| Australia (wd:Q408) | contains the administrative territorial entity (wdt:P150) | Cocos (Keeling) Islands (wd:Q36004) |
| ...                 | ...                                                       | ...                                 |

[Tool]
Got 170 rows and 3 columns, showing the first 10 rows below:
| subject                             | property                                                    | object              |
| ----------------------------------- | ----------------------------------------------------------- | ------------------- |
| New South Wales (wd:Q3224)          | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Tasmania (wd:Q34366)                | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Queensland (wd:Q36074)              | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Christmas Island (wd:Q31063)        | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Victoria (wd:Q36687)                | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| South Australia (wd:Q35715)         | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Norfolk Island (wd:Q31057)          | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Western Australia (wd:Q3206)        | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Northern Territory (wd:Q3235)       | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| Cocos (Keeling) Islands (wd:Q36004) | located in the administrative territorial entity (wdt:P131) | Australia (wd:Q408) |
| ...                                 | ...                                                         | ...                 |

[Assistant]
We have identified the following:
- "human" is wd:Q5
- "Australia" is wd:Q408
- "place of birth" is wdt:P19
- "sex or gender" is wdt:P21
- "instance of" is wdt:P31
- "contains the administrative territorial entity" is wdt:P150
- "located in the administrative territorial entity" is wdt:P131

To answer the question, we need to find humans (wd:Q5) whose place of birth (wdt:P19) is either:
- Australia (wd:Q408), or
- any entity that is an administrative territorial entity within Australia (e.g., New South Wales, Tasmania, etc.), and
- who do not have a specified "sex or gender" (i.e., no wdt:P21 triple).

To include all administrative territorial entities within Australia, we can use a recursive property path with wdt:P131* to cover all levels of subdivisions.

Let's construct a SPARQL query that:
- Selects humans (wd:Q5)
- Whose place of birth (wdt:P19) is Australia (wd:Q408) or any entity located in Australia via (wdt:P131*)
- Who do not have a "sex or gender" (wdt:P21) property

I will now write and execute the query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 115 for token PNAME_LN with content 'wdt:P131' (the input most likely does not follow the grammar)

[Assistant]
The error occurred because property paths like `wdt:P131*` are not supported in FILTER expressions in QLever SPARQL. Instead, we need to use a UNION to cover both direct and indirect (via administrative territorial entities) cases.

Let's try a different approach:
- First, get all administrative territorial entities within Australia (using wdt:P131*).
- Then, find humans whose place of birth is either Australia or any of those entities.
- Ensure they do not have a specified sex or gender.

To do this in one query, we can use a VALUES clause to enumerate the administrative territorial entities, but since there are many, let's try to do it with a subquery.

Here's the revised plan:
- Subquery to get all entities (including Australia itself) that are located in Australia via wdt:P131*.
- Main query to get humans with place of birth in any of those entities and without wdt:P21.

Let's write and execute this query.

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

[Tool]
Got 50 rows and 3 columns, showing the first 5 and last 5 rows below:
| human                                  | humanLabel                  | place                       |
| -------------------------------------- | --------------------------- | --------------------------- |
| Geoffrey Robert Phipps (wd:Q102300535) | Geoffrey Robert Phipps (en) | Sydney (wd:Q3130)           |
| Muŋgurrawuy Yunupiŋu (wd:Q104261117)   | Muŋgurrawuy Yunupiŋu (en)   | Arnhem Land (wd:Q329884)    |
| Nangapiana (wd:Q104268366)             | Nangapiana (en)             | Groote Eylandt (wd:Q678878) |
| Nik Michael Imran (wd:Q110134834)      | Nik Michael Imran (en)      | Brisbane (wd:Q34932)        |
| Vincent Brown (wd:Q110175144)          | Vincent Brown (en)          | Brisbane (wd:Q34932)        |
| ...                                    | ...                         | ...                         |
| Jamie Grant (wd:Q55427878)             | Jamie Grant (en)            | Melbourne (wd:Q3141)        |
| Graham Stone (wd:Q57239827)            | Graham Stone (en)           | Norwood (wd:Q985768)        |
| wd:Q61059979                           |                             | Queensland (wd:Q36074)      |
| Rupert Ryder (wd:Q95690710)            | Rupert Ryder (en)           | Sydney (wd:Q3130)           |
| Kim Jones (wd:Q98915654)               | Kim Jones (en)              | Sydney (wd:Q3130)           |

[Tool] Stopped generation process