PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?person ?personLabel ?eloValue ?dob ?pTime WHERE {
  ?person wdt:P31 wd:Q5 .
  ?person p:P1087 ?eloStmt .
  ?eloStmt ps:P1087 ?eloValue .
  ?eloStmt pq:P585 ?pTime .
  ?person wdt:P569 ?dob .
  FILTER ( YEAR( ?pTime ) = 2007 && MONTH( ?pTime ) = 4 ) .
  FILTER ( xsd:integer ( ?eloValue ) = YEAR( ?dob ) ) .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
ORDER BY ?personLabel

Using entities:
human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.

Using properties:
Elo rating (wd:P1087 as ps/p), also known as P1087
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
date of birth (wd:P569 as wdt), also known as birth date, birthdate, birth year, birthyear, born, etc.
point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.

Answer:
Summary of steps and reasoning:
- I searched for the appropriate property and found that 'Elo rating' corresponds to property P1087.
- I constructed a query to find humans (?person wdt:P31 wd:Q5) who have a P1087 statement with a point in time (pq:P585) in April 2007 and compared the Elo value to the year of birth (P569) by converting the Elo value to integer and extracting YEAR(?dob).
- I executed the query to verify results.

Result (from the executed query):
- wd:Q27580000 (Alexandr Ponomarenko)
  - Elo rating (in April 2007): 1993
  - Date of birth (P569): 1993-04-15
  - Date of the Elo rating statement (pq:P585): 2007-04-01

Only one individual matched the condition.

Final SPARQL query used (returns item IRIs and labels):
SELECT ?person ?personLabel ?eloValue ?dob ?pTime WHERE {
  ?person wdt:P31 wd:Q5.
  ?person p:P1087 ?eloStmt.
  ?eloStmt ps:P1087 ?eloValue.
  ?eloStmt pq:P585 ?pTime.
  ?person wdt:P569 ?dob.
  FILTER(YEAR(?pTime)=2007 && MONTH(?pTime)=4).
  FILTER(xsd:integer(?eloValue) = YEAR(?dob)).
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel)="en") }
} ORDER BY ?personLabel

Which individuals had an Elo rating in April 2007 that is exactly their year of birth, and what were their Elo ratings and dates of birth?

[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 individuals had an Elo rating in April 2007 that is exactly their year of birth, and what were their Elo ratings and dates of birth?

[Assistant] I'll first search for properties related to "Elo rating" in Wikidata and then look for statements about ratings with dates (April 2007). I'll explain each step and run queries to verify findings.

[Tool]
Top 10 property alternatives:
1. Elo rating (wd:P1087 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P1087: quantitative measure of one's game-playing ability, particularly in classical chess / quantitative measure of one's game-playing ability, particularly in chess
2. PEGI rating (wd:P908 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as Pan European Game Information rating, P908: Continental European video game rating system / European video game content rating system
3. Qualis rank (wd:P9683 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Qualis ranking), also known as Qualis ranking, P9683: rank of an academic journal on the Qualis/CAPES system
4. ranking (wd:P1352 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), 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
5. Women's World Golf Rankings player ID (wd:P12018 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Rolex Rankings player ID), also known as Rolex Rankings player ID, WWGR player ID, P12018: identifier in Women's World Golf Rankings
6. OlimpBase FIDE ratings ID (wd:P11967 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P11967: Elo rating ID on OlimpBase
7. IMDA rating (wd:P5201 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as IMDA classification, P5201: rating in the Singaporean film and video game rating system
8. dan/kyu rank (wd:P468 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via renju rank), also known as go rank, judo rank, kendo rank, renju rank, shogi rank, etc.: rank system used in several board games (e.g. go, shogi, renju), martial arts (e.g. judo, kendo, wushu) and some other games
9. ECF rating code (wd:P12553 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via English Chess Federation rating code), also known as English Chess Federation rating code, P12553: identifier for a chess player issued by the English Chess Federation / identifier for a chess player issued by the English Chess Federation
10. GameFAQs game ID (wd:P4769 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via GameRankings game ID), also known as GameRankings game ID, P4769: identifier for a game on GameFAQs

[Assistant] I'll run a SPARQL query to find humans with a P1087 (Elo rating) statement qualified with point in time in April 2007, and whose Elo value equals the year part of their date of birth (P569). I'll request item IRIs, Elo values, and dates of birth, and include English labels optionally. Now I'll execute the query.

[Tool]
Got 1 row and 5 columns:
| person                              | personLabel               | eloValue           | dob                                 | pTime                               |
| ----------------------------------- | ------------------------- | ------------------ | ----------------------------------- | ----------------------------------- |
| Alexandr Ponomarenko (wd:Q27580000) | Alexandr Ponomarenko (en) | 1993 (xsd:decimal) | 1993-04-15T00:00:00Z (xsd:dateTime) | 2007-04-01T00:00:00Z (xsd:dateTime) |

[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 ?unit ?unitLabel ?part ?partLabel ?partOf ?partOfLabel ?geolex WHERE {
  ?unit wdt:P31 / wdt:P279 * wd:Q3550897 .
  {
    ?unit wdt:P131 wd:Q816 .
  } UNION {
    ?unit wdt:P131 ?place .
    ?place wdt:P131 * wd:Q816 .
  }
  OPTIONAL {
    ?unit wdt:P527 ?part .
    OPTIONAL {
      ?part rdfs:label ?partLabel FILTER ( LANG( ?partLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?unit wdt:P361 ?partOf .
    OPTIONAL {
      ?partOf rdfs:label ?partOfLabel FILTER ( LANG( ?partOfLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?unit wdt:P6202 ?geolex
  }
  OPTIONAL {
    ?unit rdfs:label ?unitLabel FILTER ( LANG( ?unitLabel ) = "en" )
  }
}
ORDER BY ?unitLabel

Using entities:
lithostratigraphic unit (wd:Q3550897), also known as rock unit
Arizona (wd:Q816), also known as Ariz., Arizona, United States, AZ, Grand Canyon State, State of Arizona, 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.
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.
part of (wd:P361 as wdt), also known as assembly of, branch of, chain, collateral branch of, component of, etc.
has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.
Geolex ID (wd:P6202 as wdt), also known as GEOLEX ID, Geolex identifier, P6202

Got 202 rows and 7 columns, showing the first 5 and last 5 rows below:
| unit                                 | unitLabel                  | part                            | partLabel             | partOf                           | partOfLabel             | geolex           |
| ------------------------------------ | -------------------------- | ------------------------------- | --------------------- | -------------------------------- | ----------------------- | ---------------- |
| Abrigo Formation (wd:Q75041040)      | Abrigo Formation (en)      |                                 |                       |                                  |                         | Abrigo_4501      |
| Amole Arkose (wd:Q17511820)          | Amole Arkose (en)          |                                 |                       |                                  |                         |                  |
| Amole Formation (wd:Q4747496)        | Amole Formation (en)       |                                 |                       |                                  |                         | Amole_6443       |
| Apache Group (wd:Q65553467)          | Apache Group (en)          | Mescal Limestone (wd:Q65553464) | Mescal Limestone (en) |                                  |                         | Apache_6495      |
| Awatubi Member (wd:Q64341523)        | Awatubi Member (en)        |                                 |                       | Kwagunt Formation (wd:Q64341285) | Kwagunt Formation (en)  | Awatubi_4623     |
| ...                                  | ...                        | ...                             | ...                   | ...                              | ...                     | ...              |
| West Water Formation (wd:Q98923927)  | West Water Formation (en)  |                                 |                       |                                  |                         | WestWater_12326  |
| Wingate Sandstone (wd:Q8025150)      | Wingate Sandstone (en)     |                                 |                       | Glen Canyon Group (wd:Q5567629)  | Glen Canyon Group (en)  | Wingate_11202    |
| Winslow Member (wd:Q61045581)        | Winslow Member (en)        |                                 |                       | Moenkopi Formation (wd:Q1671517) | Moenkopi Formation (en) | Winslow_11208    |
| Winterhaven Formation (wd:Q97007987) | Winterhaven Formation (en) |                                 |                       |                                  |                         | Winterhaven_6295 |
| Wupatki Member (wd:Q61045598)        | Wupatki Member (en)        |                                 |                       | Moenkopi Formation (wd:Q1671517) | Moenkopi Formation (en) | Wupatki_11243    |

Answer: I executed the query. It returns the distinct lithostratigraphic units located in Arizona (141 distinct units). For each unit the query returns: the unit IRI, optional English label, optional parts (P527), optional larger unit it is part of (P361), and optional Geolex ID (P6202). The SPARQL query I used is provided.

What are the distinct lithostratigraphic units located in Arizona? Please include any parts they have (if available, the larger units they are part of (if available), and their Geolex IDs (if available).

[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 distinct lithostratigraphic units located in Arizona? Please include any parts they have (if available, the larger units they are part of (if available), and their Geolex IDs (if available).

[Assistant] I will first search Wikidata for the class/entity representing "lithostratigraphic unit" and for the entity representing the U.S. state of Arizona. Then I'll look for properties linking units to location (located in Arizona) and properties for parts, part of, and Geolex ID. I'll verify property identifiers before building the final SPARQL query. I'll run exploratory searches and explain each step.

[Tool]
Top 10 entity alternatives:
1. lithostratigraphic unit (wd:Q3550897), also known as rock unit: geologic unit denoting a specific body of rock based on its lithologic or stratigraphic characteristics / is subclass of stratigraphic unit
2. former lithostratigraphic unit (wd:Q109902873): lithostratigraphic unit that has been superseded by a different unit / is subclass of lithostratigraphic unit / is subclass of former entity
3. sedimentary lithostratigraphic unit (wd:Q28021934): is subclass of complex
4. 1 (wd:Q199, matched via unit), also known as +1, ١, ১, ๑, ①, etc.: is instance of centered dodecahedral number / is instance of pentagonal pyramidal number / is instance of heptagonal pyramidal number / is instance of centered tetrahedral number / is instance of centered icosahedral number / is instance of centered pentachoric number / is instance of centered heptagonal number / is instance of centered octahedral number / is instance of centered triangular number / is instance of hexagonal pyramidal number / is instance of centered pentagonal number / is instance of centered hexagonal number / is instance of centered octagonal number / is instance of centered decagonal number / is instance of centered nonagonal number / is instance of square triangular number / is instance of stella octangula number / is instance of multiplicative identity / is instance of square pyramidal number / is instance of centered square number / is instance of non-negative integer / is instance of centered cube number / is instance of dodecahedral number / is instance of automorphic number / is instance of tetrahedral number / is instance of icosahedral number / is instance of dodecagonal number / is instance of dimensionless unit / is instance of triangular number / is instance of pentagonal number / is instance of heptagonal number / is instance of Fibonacci number / is instance of nonagonal number / is instance of octagonal number / is instance of coherent SI unit / is instance of decagonal number / is instance of pentatope number / is instance of hexagonal number / is instance of Mersenne number / is instance of harshad number / is instance of unit of amount / is instance of natural number / is instance of seventh power / is instance of power of 1000 / is instance of square number / is instance of eighth power / is instance of fourth power / is instance of Power of two / is instance of power of two / is instance of sixth power / is instance of star number / is instance of ninth power / is instance of fifth power / is instance of power of 10 / is instance of odd number / is instance of Repunit / is instance of repunit / is instance of unit / is instance of cube / is instance of {1} / natural number one / natural number / natural number / natural number
5. currency (wd:Q8142, matched via monetary unit), also known as currencies, monetary unit, money unit, unit of money: generally accepted medium of exchange for goods or services / generally accepted medium of exchange for goods or services / generally accepted medium of exchange / is subclass of unit of measurement / is subclass of medium of exchange / is subclass of means of payment / is subclass of money
6. astronomical unit (wd:Q1811), also known as astronomic unit, AU, ua: mean distance between Earth and the Sun, common length reference in astronomy / is instance of non-SI unit mentioned in and accepted with the SI / is instance of SI-accepted non-SI unit / is instance of UCUM derived unit / is instance of Unit of length / is instance of unit of length
7. unit of measurement (wd:Q47574, matched via measurement unit), also known as measurement unit, unit, unit of measure: real scalar quantity, defined and adopted by convention, with ... to express the ratio of the two quantities as a number (VIM) / is subclass of individual quantity / is subclass of scalar quantity / is subclass of measure
8. taxon (wd:Q16521, matched via taxonomic unit), also known as taxa, taxonomic unit: group of one or more organism(s), which a taxonomist adjudges to be a unit / group of one or more organism(s), which a taxonomist adjudges to be a unit / group of one or more organism(s), which a taxonomist adjudges to be a unit / group of one or more organism(s), which a taxonomist adjudges to be a unit / is subclass of group or class of organisms / is instance of second-order class
9. apartment (wd:Q188507, matched via unit), also known as dwelling, flat, flats, unit: self-contained housing unit occupying part of a building / self-contained housing unit occupying part of a building / is subclass of building part / is subclass of residence / is instance of housing
10. warship (wd:Q2031121, matched via naval unit), also known as combatant ship, combatant vessel, naval military unit, naval unit, navy military unit, etc.: a watercraft that is built and primarily intended for naval warfare / is subclass of weapons platform / is subclass of naval vessel / is instance of ship type / is subclass of ship

[Assistant] I'll search Wikidata for Arizona to get its Q-id.

[Tool]
Top 10 entity alternatives:
1. Arizona (wd:Q816), also known as Ariz., Arizona, United States, AZ, Grand Canyon State, State of Arizona, etc.: is instance of state of the United States / state of the United States of America / state of the United States of America / state of the United States of America / is instance of U.S. state
2. University of Arizona (wd:Q503419, matched via Arizona), also known as Arizona, arizona.edu, Arizona University, AZ, The University of Arizona, etc.: is instance of public educational institution of the United States / public university in Tucson, Arizona, United States / is instance of open-access publisher / is instance of land-grant university / is instance of public university
3. Arizona (wd:Q2254748): municipality in Atlántida Department, Honduras / is instance of municipality of Honduras / human settlement in Honduras / human settlement in Honduras
4. Arizona (wd:Q670059): 1940 film by Wesley Ruggles / is instance of film
5. Arizona (wd:Q634389): 1918 silent film drama / is instance of film
6. Arizona (wd:Q14089080), also known as Glossy snake: is instance of taxon / genus of reptiles
7. Arizona (wd:Q2861452): 1913 film by Augustus Thomas / is instance of Silent film / is instance of silent film / is instance of film
8. Arizona (wd:Q3196815), also known as Men Are Like That: 1931 film by George B. Seitz / is instance of film
9. Arizona (wd:Q4791227): municipality and village in San Luis, Argentina / is instance of municipality / is instance of locality
10. Marcial Lafuente Estefanía (wd:Q2918630, matched via Arizona), also known as Arizona, Cecilia de Iraluce, Dan Lewis, Dan Luce, Marcial Antonio Lafuente Estefanía, etc.: has occupation industrial engineer / has occupation military personnel / has occupation Military personnel / Spanish writer (1903-1984) / has occupation politician / has occupation novelist / has occupation writer / is instance of human

[Assistant] Now I'll search for properties that can indicate location (like 'located in the administrative territorial entity' P131 or 'located in or next to body of water' etc.) and specifically properties used to state that a lithostratigraphic unit is located in Arizona. Also I'll search for 'Geolex ID' property.

[Tool]
Top 10 property alternatives:
1. Geolex ID (wd:P6202 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as GEOLEX ID, Geolex identifier, P6202: ID for every stratigraphic unit in the United States of America (USA) given by the United States Geological Survey / ID for every stratigraphic unit in the United States of America (USA) given by the United States Geological Survey / ID for every stratigraphic unit in the United States of America (USA) given by the United States Geological Survey
2. USGS Thesaurus ID (wd:P11095 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via U.S. Geological Survey Thesaurus identifier), also known as United States Geological Survey Thesaurus ID, United States Geological Survey Thesaurus identifier, U.S. Geological Survey Thesaurus ID, US Geological Survey Thesaurus ID, U.S. Geological Survey Thesaurus identifier, etc.: identifier for a term in the USGS Thesaurus
3. GeolISSTerm ID (wd:P10748 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Geological Terminology and Nomenclature ID), also known as GeolISSTerm identifier, Geological Terminology and Nomenclature ID, Geological Terminology and Nomenclature identifier, Geološka terminologija i nomenklatura ID, Geološka terminologija i nomenklatura identifier, etc.: identifier for a term in the GeolISSTerm terminology dictionary
4. A Dictionary of Geology and Earth Sciences entry ID (wd:P13266 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Dictionary of Geology and Earth Sciences entry ID), also known as Dictionary of Geology and Earth Sciences entry ID, P13266: identifier for an entry in online fifth edition of A Dictionary of Geology and Earth Sciences
5. type locality (geology) (wd:P2695 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as (co)-type locality, P2695: the locality where a particular rock type, stratigraphic unit ... is defined from (can coincide but not the same as p189)
6. Trismegistos Geo ID (wd:P1958 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as TM Geo ID, TM Place ID, TM Places, Trismegistos place ID, P1958: identifier of an ancient place on trismegistos.org
7. Natural Atlas ID (wd:P8246 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P8246: identifier for a place on the Natural Atlas website
8. Getty Thesaurus of Geographic Names ID (wd:P1667 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as TGN ID, TGN identifier, Thesaurus of Geographic Names, P1667: identifier in the Getty Thesaurus of Geographic Names / identifier in the Getty Thesaurus of Geographic Names
9. GNIS Feature ID (wd:P590 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via USGS GNIS ID), also known as Geographic Names Information System ID, GNIS ID, USGS GNIS ID, P590: identifier for geographic objects in the United States issued by the USGS. For Antarctica, use Property:P804 / identifier for geographic objects in the US issued by the USGS. For Antarctica, use Property:P804 / identifier for geographic objects in the US issued by the USGS. For Antarctica, use Property:P804
10. Mindat.org Glossary of Mineralogical Terms ID (wd:P11051 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Glossary of Mineralogical Terms ID), also known as Glossary of Mineralogical Terms ID, Mindat Glossary of Mineralogical Terms ID, Mindat term ID, P11051: identifier for an entry in the Mindat.org Glossary of Mineralogical Terms

[Assistant] We found P6202 for Geolex ID. Next, search for properties for 'part' and 'part of' relations. Usually 'has part' P527 and 'part of' P361. For location, 'located in the administrative territorial entity' P131, but stratigraphic units might use 'located in or next to body of water' or 'located in' P276 or 'country' P17 or 'located in the administrative territorial entity' P131. Also 'classified as' or 'instance of' P31 for lithostratigraphic unit. I'll search properties: 'has part', 'part of', 'located in', and check how lithostratigraphic units are usually linked to places.

[Tool]
Top 10 property alternatives:
1. has part(s) (wd:P527 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via has part), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".
2. applies to part (wd:P518 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via of part), also known as applied to, applies to aspect, applies to form, applies to phase, apply to, etc.: part, aspect, or form of the item to which the claim applies / part of the item for which the claim is valid / part of the item for which the claim is valid
3. based on (wd:P144 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via has parts from), also known as adaptation of, adapted from, based on work, based upon, continuation of, etc.: the work(s) or inputs used as the basis for subject item; for fictional analog use P1074 / is subproperty of references work, tradition or theory / the work(s) used as basis for subject / is subproperty of inspired by
4. participant in (wd:P1344 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via takes part), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of
5. depicted part (wd:P5961 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via shown part), also known as part depicted, part shown, shown part, P5961: use as qualifier for "depicts" (P180)
6. does not have part (wd:P3113 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via has part missing), also known as does not include, doesn't have, has part missing, lacks, missing, etc.: Use to claim what the item does not have, limited to things which would often be expected to be present. / expected part that the item does not have (for qualities, use P6477)
7. parent organization (wd:P749 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via part of), also known as chapter of, has organizational parent, holding, holding company, owned by (company or organisation), etc.: parent organization of an organization, opposite of subsidiaries (P355) / is subproperty of owned by / is subproperty of part of
8. part of (wd:P361 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
9. partially coincident with (wd:P1382 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via partially in), also known as coincident with, concurrency, concurrent with, has common instances with, has common members with, etc.: object that partially overlaps with the subject in its instances, parts, or members / an object that is partially part of, but not fully part of (P361), the subject / is subproperty of different from
10. proportion (wd:P1107 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via part), also known as %, part, percent, ratio, share, etc.: to be used as a qualifier, value must be between 0 and 1 / to be used as a qualifier, value must be between 0 and 1

[Assistant] Good. Now search for typical properties used to indicate location for geological units; maybe 'located in the administrative territorial entity' P131. I'll search for common example: open an example lithostratigraphic unit item to see how location is modeled. I'll search items that are instances of lithostratigraphic unit.

[Tool]
Got 10 rows and 2 columns:
| unit                               | unitLabel               |
| ---------------------------------- | ----------------------- |
| Apex Chert (wd:Q10854294)          | Apex Chert (en)         |
| Blue Granite (wd:Q110715941)       | Blue Granite (en)       |
| Composite Gneiss (wd:Q110715947)   | Composite Gneiss (en)   |
| Alpha Granite (wd:Q110716003)      | Alpha Granite (en)      |
| Tropico Group (wd:Q123519690)      | Tropico Group (en)      |
| Bissell Formation (wd:Q123519770)  | Bissell Formation (en)  |
| Gem Hill Formation (wd:Q123520088) | Gem Hill Formation (en) |
| Muschelkalk (wd:Q1543962)          | Muschelkalk (en)        |
| wd:Q2206072                        |                         |
| Eigenbilzen Member (wd:Q2664591)   | Eigenbilzen Member (en) |

[Assistant] We have instances. Now I will inspect one that is in Arizona, e.g., search for lithostratigraphic units that mention Arizona in location. Use a query: find items instance of lithostratigraphic unit and located in Arizona via P131 or P17 or 'located in or next to body of water' P206 or 'country' P17. I'll try matching either P131 or P17 or P276? For geological units, location might be 'located in the administrative territorial entity' P131. Let's search for ?unit wdt:P31 wd:Q3550897 and ?unit wdt:P131 wd:Q816.

[Tool] Got no rows and 2 columns

[Tool]
Top 10 entity alternatives:
1. Correlation of Arizona Paleozoic formations (wd:Q61029477): is instance of scholarly article / is instance of academic article / scholarly article
2. Arizona City (wd:Q670299, matched via Arizona City, Arizona), also known as Arizona City, Arizona, Arizona City, AZ: census designated place in Pinal County, Arizona, United States / is instance of census-designated place in the United States / is instance of census-designated place
3. Arizona Village (wd:Q670915, matched via Arizona Village, Arizona), also known as Arizona Village, Arizona, Arizona Village, AZ: census designated place in Mohave County, Arizona, United States / is instance of census-designated place in the United States / is instance of census-designated place
4. Arizona (wd:Q816), also known as Ariz., Arizona, United States, AZ, Grand Canyon State, State of Arizona, etc.: is instance of state of the United States / state of the United States of America / state of the United States of America / state of the United States of America / is instance of U.S. state
5. Phoenix (wd:Q16556, matched via Phoenix, Arizona), also known as City of Phoenix, Phoenix, Arizona, Phoenix, AZ, PHX, Valley of the Sun: city in Maricopa County, Arizona, United States / is instance of city of the United States / is instance of city in the United States / is instance of county seat / is instance of big city
6. Tucson (wd:Q18575, matched via Tucson, Arizona), also known as Chuk Shon, Cuk Ṣon, S-cuk Ṣon, Tucson, Ariz., Tucson, Arizona, etc.: city in and county seat of Pima County, Arizona, United States / is instance of city of the United States / is instance of city in the United States / is instance of county seat / is instance of big city
7. Mesa (wd:Q49261, matched via Mesa, Arizona), also known as Mesa, Arizona, Mesa, AZ, Mesa City: city in Maricopa County, Arizona, United States / is instance of city in the United States / is instance of city of the United States / is instance of big city / city in Arizona
8. Flagstaff (wd:Q79842, matched via Flagstaff, Arizona), also known as Flagstaff, Arizona, Flagstaff, AZ: city in and county seat of Coconino County, Arizona, United States / is instance of city in the United States / is instance of city of the United States / is instance of college town / is instance of county seat / city in Arizona, USA
9. cliff (wd:Q107679, matched via cliff formation), also known as bluff, cliff formation, mountain rim, precipice, rock face, etc.: significant vertical, or near vertical, rock exposure / significant vertical, or near vertical, rock exposure / significant vertical, or near vertical, rock exposure / is subclass of escarpment / is subclass of Escarpment / is subclass of landform / is subclass of Landform
10. Glendale (wd:Q51682, matched via Glendale, Arizona), also known as Glendale, Arizona, Glendale, AZ: city in Maricopa County, Arizona, United States / is instance of city of the United States / is instance of city in the United States / is instance of big city / City in Arizona

[Tool]
Top 10 entity alternatives:
1. Tapeats Sandstone (wd:Q7684515), also known as Tapeats Sandstone of Tonto Group: Geologic unit of the Grand Canyon, Arizona / is instance of geological formation
2. sandstone (wd:Q13085): is subclass of natural building material / is subclass of sedimentary rock / is subclass of Sedimentary rock / type of sedimentary rock / is subclass of psammite
3. Sandstone (wd:Q1000182), also known as Sandstone, Minnesota, Sandstone, MN: is instance of city of the United States / is instance of city in the United States / city in Minnesota, United States
4. Sandstone Shrikethrush (wd:Q3123949), also known as Colluricincla woodwardi: is instance of taxon / species of bird
5. Sandstone Dibbler (wd:Q135146), also known as Pseudantechinus bilarni: is instance of taxon / marsupial species
6. Operation Sandstone (wd:Q1397984): is instance of nuclear test series / series of nuclear weapon tests
7. gritstone (wd:Q1048392, matched via grit sandstone), also known as grit sandstone: hard, coarse-grained, siliceous sandstone / is subclass of sedimentary rock / is subclass of Sedimentary rock / is subclass of siliceous rock / is subclass of building stone
8. Buntsandstein (wd:Q4875445, matched via Bunter Sandstone), also known as Bunter Sandstone: lithostratigraphic and allostratigraphic unit in the subsurface of west and central Europe / is instance of subgroup / is instance of group
9. sandstone universities (wd:Q2396028), also known as The sandstone universities: group of Australia's oldest universities / is instance of group
10. Sandstone (wd:Q938251), also known as Sandstone, Western Australia, Sandstone, Western Australia, Australia: town in Western Australia / is instance of town

[Assistant] I'll inspect the Tapeats Sandstone item to see which properties indicate its location and other relevant data.

[Tool]
Got 49 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                                    | object                                                         |
| ------------------------------- | ----------------------------------------------------------- | -------------------------------------------------------------- |
| Tapeats Sandstone (wd:Q7684515) | instance of (wdt:P31)                                       | geological formation (wd:Q736917)                              |
| Tapeats Sandstone (wd:Q7684515) | country (wdt:P17)                                           | United States (wd:Q30)                                         |
| Tapeats Sandstone (wd:Q7684515) | located in the administrative territorial entity (wdt:P131) | Arizona (wd:Q816)                                              |
| Tapeats Sandstone (wd:Q7684515) | Commons category (wdt:P373)                                 | Tapeats Sandstone                                              |
| Tapeats Sandstone (wd:Q7684515) | part of (wdt:P361)                                          | Tonto Group (wd:Q7821714)                                      |
| Tapeats Sandstone (wd:Q7684515) | Freebase ID (wdt:P646)                                      | /m/0jws62g                                                     |
| Tapeats Sandstone (wd:Q7684515) | described at URL (wdt:P973)                                 | <https://ngmdb.usgs.gov/Geolex/UnitRefs/TapeatsRefs_6226.html> |
| Tapeats Sandstone (wd:Q7684515) | made from material (wdt:P186)                               | sandstone (wd:Q13085)                                          |
| Tapeats Sandstone (wd:Q7684515) | named after (wdt:P138)                                      | Tapeats Creek (wd:Q14566051)                                   |
| Tapeats Sandstone (wd:Q7684515) | time period (wdt:P2348)                                     | Cambrian (wd:Q79064)                                           |
| ...                             | ...                                                         | ...                                                            |

[Tool]
Got 293 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                       | object                                                               |
| --------------------------------- | ---------------------------------------------- | -------------------------------------------------------------------- |
| geological formation (wd:Q736917) | main subject (wdt:P921)                        | stratigraphy (wd:Q134783)                                            |
| geological formation (wd:Q736917) | Commons category (wdt:P373)                    | Geologic formations                                                  |
| geological formation (wd:Q736917) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/SEUtahStrat.JPG> |
| geological formation (wd:Q736917) | part of (wdt:P361)                             | subgroup (wd:Q11755860)                                              |
| geological formation (wd:Q736917) | subclass of (wdt:P279)                         | lithostratigraphic unit (wd:Q3550897)                                |
| geological formation (wd:Q736917) | Freebase ID (wdt:P646)                         | /m/03k5cs                                                            |
| geological formation (wd:Q736917) | has part(s) (wdt:P527)                         | member (wd:Q2092603)                                                 |
| geological formation (wd:Q736917) | described by source (wdt:P1343)                | Meyers Konversations-Lexikon, 4th edition (1885–1890) (wd:Q19219752) |
| geological formation (wd:Q736917) | Library of Congress authority ID (wdtn:P244)   | <http://id.loc.gov/authorities/names/sh86003920>                     |
| geological formation (wd:Q736917) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                          |
| ...                               | ...                                            | ...                                                                  |

[Assistant] Tapeats Sandstone example shows properties: P131 located in administrative territorial entity -> Arizona, P361 part of -> Tonto Group, and described at URL P973 which points to a Geolex page, but we also have P6202 Geolex ID property. Let's inspect Tapeats Sandstone for P6202.

[Tool]
Got 1 row and 3 columns:
| subject                         | property              | object       |
| ------------------------------- | --------------------- | ------------ |
| Tapeats Sandstone (wd:Q7684515) | Geolex ID (wdt:P6202) | Tapeats_6226 |

[Assistant]
Good. So likely many formation items have P131 Arizona or country USA plus located in... Now I will write a SPARQL query to retrieve distinct lithostratigraphic units located in Arizona. The class to use could be subclass litostratigraphic unit Q3550897 or instances whose instance of (P31) is a subclass of lithostratigraphic unit. To be comprehensive: units with P31 ?type and either ?type = Q3550897 or ?type subclass of Q3550897 (wdt:P279*). But QLever may not support property path wildcard? QLever supports SPARQL 1.1; property path wdt:P31/wdt:P279*? However P31 chain to P279* may be fine. I'll try patterns: ?unit wdt:P31/wdt:P279* wd:Q3550897. But typical is ?unit wdt:P31 ?class. FILTER EXISTS {?class wdt:P279* wd:Q3550897} or use (wdt:P31/wdt:P279*) wd:Q3550897. I'll test a simple query to get units located in Arizona: ?unit wdt:P131 wd:Q816 and ?unit wdt:P31/wdt:P279* wd:Q3550897. Also retrieve has part P527, part of P361, Geolex ID P6202, and English label optional. Ensure distinct.

Let's run a test with LIMIT.

[Tool]
Got 200 rows and 7 columns, showing the first 5 and last 5 rows below:
| unit                                       | unitLabel                       | part                                       | partLabel                       | partOf                           | partOfLabel           | geolex              |
| ------------------------------------------ | ------------------------------- | ------------------------------------------ | ------------------------------- | -------------------------------- | --------------------- | ------------------- |
| Ignacio Quartzite (wd:Q100366128)          | Ignacio Quartzite (en)          |                                            |                                 |                                  |                       | Ignacio_8917        |
| McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                                            |                                 | Elbert Formation (wd:Q100366213) | Elbert Formation (en) |                     |
| Elbert Formation (wd:Q100366213)           | Elbert Formation (en)           | McCracken Sandstone Member (wd:Q100366180) | McCracken Sandstone Member (en) |                                  |                       | Elbert_7602         |
| Mazatzal Quartzite (wd:Q104772138)         | Mazatzal Quartzite (en)         |                                            |                                 |                                  |                       | Mazatzal_16177      |
| Chinle Formation (wd:Q1074382)             | Chinle Formation (en)           | Petrified Forest Member (wd:Q18158472)     | Petrified Forest Member (en)    |                                  |                       | Chinle_4997         |
| ...                                        | ...                             | ...                                        | ...                             | ...                              | ...                   | ...                 |
| Tsegi Alluvium (wd:Q93785181)              | Tsegi Alluvium (en)             |                                            |                                 |                                  |                       | Tsegi_10967         |
| Naha Alluvium (wd:Q93785578)               | Naha Alluvium (en)              |                                            |                                 |                                  |                       | Naha_9477           |
| Mount Wrightson Formation (wd:Q96623554)   | Mount Wrightson Formation (en)  |                                            |                                 |                                  |                       | MountWrightson_6082 |
| McCoy Mountains Formation (wd:Q97000922)   | McCoy Mountains Formation (en)  |                                            |                                 |                                  |                       | McCoyMountains_8765 |
| Winterhaven Formation (wd:Q97007987)       | Winterhaven Formation (en)      |                                            |                                 |                                  |                       | Winterhaven_6295    |

[Assistant] I'll first run a COUNT query to find how many distinct lithostratigraphic units the query will return, using the pattern: unit is instance (or subclass instance) of lithostratigraphic unit (Q3550897) and located in Arizona (P131 chain). Then I'll run the final SELECT query (returned in the answer).

[Tool]
Got 1 row and 1 column:
| count         |
| ------------- |
| 141 (xsd:int) |

[Assistant]
Now I'll run a final SPARQL query that:
- Finds items that are instances of lithostratigraphic unit (Q3550897) or instances of subclasses of that class,
- Are located in Arizona either directly (P131 = Arizona) or via an administrative place that is part of Arizona (P131 chain),
- Returns for each unit: the unit IRI, English label (optional), any has part (P527) IRIs and labels, any part of (P361) IRIs and labels, and the Geolex ID (P6202) if present.

I'll execute the query and then report the results and provide the SPARQL I used.

[Tool]
Got 202 rows and 7 columns, showing the first 5 and last 5 rows below:
| unit                                 | unitLabel                  | part                            | partLabel             | partOf                           | partOfLabel             | geolex           |
| ------------------------------------ | -------------------------- | ------------------------------- | --------------------- | -------------------------------- | ----------------------- | ---------------- |
| Abrigo Formation (wd:Q75041040)      | Abrigo Formation (en)      |                                 |                       |                                  |                         | Abrigo_4501      |
| Amole Arkose (wd:Q17511820)          | Amole Arkose (en)          |                                 |                       |                                  |                         |                  |
| Amole Formation (wd:Q4747496)        | Amole Formation (en)       |                                 |                       |                                  |                         | Amole_6443       |
| Apache Group (wd:Q65553467)          | Apache Group (en)          | Mescal Limestone (wd:Q65553464) | Mescal Limestone (en) |                                  |                         | Apache_6495      |
| Awatubi Member (wd:Q64341523)        | Awatubi Member (en)        |                                 |                       | Kwagunt Formation (wd:Q64341285) | Kwagunt Formation (en)  | Awatubi_4623     |
| ...                                  | ...                        | ...                             | ...                   | ...                              | ...                     | ...              |
| West Water Formation (wd:Q98923927)  | West Water Formation (en)  |                                 |                       |                                  |                         | WestWater_12326  |
| Wingate Sandstone (wd:Q8025150)      | Wingate Sandstone (en)     |                                 |                       | Glen Canyon Group (wd:Q5567629)  | Glen Canyon Group (en)  | Wingate_11202    |
| Winslow Member (wd:Q61045581)        | Winslow Member (en)        |                                 |                       | Moenkopi Formation (wd:Q1671517) | Moenkopi Formation (en) | Winslow_11208    |
| Winterhaven Formation (wd:Q97007987) | Winterhaven Formation (en) |                                 |                       |                                  |                         | Winterhaven_6295 |
| Wupatki Member (wd:Q61045598)        | Wupatki Member (en)        |                                 |                       | Moenkopi Formation (wd:Q1671517) | Moenkopi Formation (en) | Wupatki_11243    |

[Assistant] The query returned 141 distinct units (count earlier) and the SELECT returned 202 rows because of multiple parts/partOf multiplicity. Now I'll finalize by returning the SPARQL query and summarizing that it returns 141 distinct lithostratigraphic units located in Arizona, each with optional parts, parent units, and Geolex IDs. I'll call the answer function with the query and the answer summary.

[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 ?tournament ?tournamentLabel ?country ?countryLabel ?endTime ?location ?locationLabel ?editionNumber ?pointInTime ?surface ?surfaceLabel WHERE {
  ?tournament wdt:P361 wd:Q23039138 .
  OPTIONAL {
    ?tournament wdt:P17 ?country .
  }
  OPTIONAL {
    ?tournament wdt:P582 ?endTime .
  }
  OPTIONAL {
    ?tournament wdt:P276 ?location .
  }
  OPTIONAL {
    ?tournament wdt:P393 ?editionNumber .
  }
  OPTIONAL {
    ?tournament wdt:P585 ?pointInTime .
  }
  OPTIONAL {
    ?tournament wdt:P664 ?surface .
  }
  OPTIONAL {
    ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
  OPTIONAL {
    ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
  }
  OPTIONAL {
    ?surface rdfs:label ?surfaceLabel FILTER ( LANG( ?surfaceLabel ) = "en" )
  }
}
ORDER BY ASC ( ?endTime )

Using entities:
2018 ATP World Tour (wd:Q23039138)

Using properties:
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
location (wd:P276 as wdt), also known as based in, city, from, held by, in, etc.
part of (wd:P361 as wdt), also known as assembly of, branch of, chain, collateral branch of, component of, etc.
edition number (wd:P393 as wdt), also known as number of event, software version number, version number, P393
end time (wd:P582 as wdt), also known as abolished, cease date, cease operation, cease time, closed, etc.
point in time (wd:P585 as wdt), also known as as of, at time, by date, date, during, etc.
organizer (wd:P664 as wdt), also known as event organiser, event organizer, event producer, organised by, organiser, etc.

SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

Answer: I executed the query to retrieve all tournaments that were part of the 2018 ATP World Tour with the requested properties, ordered by end time (ascending). The query returns the tournament IRIs plus available country, end time, location, edition number, point in time, and surface, with English labels when present. If you want the raw query results in a specific format (table, CSV, JSON) or want me to filter to only tournaments that have an end time, say so and I will adjust the query.

What are the details of all tennis tournaments that were part of the 2018 ATP World Tour? Please include the tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available), sorted in ascending order by end time.

[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 details of all tennis tournaments that were part of the 2018 ATP World Tour? Please include the tournament item, country (if available), end time (if available), location (if available), edition number (if available), point in time (if available), and surface played on (if available), sorted in ascending order by end time.

[Assistant] I will search for the Wikidata item for "2018 ATP World Tour" to identify the main entity. I'll run an entity search query and inspect results.

[Tool]
Top 10 entity alternatives:
1. 2018 ATP World Tour (wd:Q23039138): is instance of tennis tour edition / tennis circuit
2. 2018 ATP World Tour Masters 1000 (wd:Q50063551): is instance of tennis tour edition / tennis tour
3. ATP Finals (wd:Q270907, matched via ATP World Tour Finals), also known as ATP World Tour Finals, Tennis Masters Cup: is instance of recurring tennis tournament / tier of annual men's tennis tournaments / is subclass of ATP tennis tournament
4. ATP World Tour 500 series (wd:Q300018, matched via ATP World Tour 500), also known as ATP 500, ATP 500 Series, ATP Championship Series, ATP Championship Series, Double-Week, ATP Masters 500, etc.: is instance of tennis tour with multiple editions / tennis tournament category since 2009 / is subclass of tennis tour
5. ATP World Tour 250 series (wd:Q300017, matched via ATP World Tour 250), also known as ATP 250, ATP 250 Series, ATP Tour 250, ATP World Series, ATP World Tour 250, etc.: is instance of tennis tour with multiple editions / is subclass of tennis tour / tennis tournament category / tennis tournament / tennis tournament
6. 2018 UCI World Tour (wd:Q42317185): is instance of UCI World Tour / cycling races
7. ATP Tour (wd:Q300008, matched via ATP World Tour), also known as ATP World Tour: is instance of tennis tour with multiple editions / is instance of recurring sporting event / series of men's tennis tournaments / is subclass of tennis tour / tennis tournament / tennis tournament
8. 2011 ATP World Tour (wd:Q300013), also known as 2011 atp tour: is instance of tennis tour edition / men's tennis circuit / tennis tournament / tennis tournament
9. 2010 ATP World Tour (wd:Q300012), also known as 2010 atp tour: is instance of tennis tour edition / tennis tournament / tennis tournament / tennis circuit
10. 2009 ATP World Tour (wd:Q300011), also known as 2009 atp tour, 2009 ATP Tour, ATP Tour 2009, Juego 2000 Calendar, Tennis 2009 Calendare ATP ITF: is instance of tennis tour edition / tennis tournament / tennis tournament / tennis circuit

[Assistant] I'll look for items that have "part of" (P361) the 2018 ATP World Tour (wd:Q23039138).

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                                              | property           | object                             |
| ---------------------------------------------------- | ------------------ | ---------------------------------- |
| 2018 Queen's Club Championships (wd:Q12299856)       | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Monte-Carlo Rolex Masters (wd:Q29477409)        | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Tata Open Maharashtra (wd:Q44318733)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Brisbane International (men) (wd:Q46911399)     | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Sydney International (men) (wd:Q46911599)       | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ASB Classic (men) (wd:Q46911617)                | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Diema Xtra Sofia Open (wd:Q47001464)            | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 ABN AMRO World Tennis Tournament (wd:Q47227238) | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| 2018 Delray Beach Open (wd:Q47882974)                | part of (wdt:P361) | 2018 ATP World Tour (wd:Q23039138) |
| ...                                                  | ...                | ...                                |

[Assistant] I'll verify the relevant property identifiers in Wikidata: country (P17), end time (P582), location (P276), edition number (P393), point in time (P585), surface (P664). I'll search for each property to confirm.

[Tool]
Top 10 property alternatives:
1. valid in place (wd:P3005 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via country), also known as applies to country, applies to location, applies to place, country, true in, etc.: is subproperty of applies to part / place where a statement is valid / place where a statement is valid
2. country of origin (wd:P495 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via country), 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
3. country of citizenship (wd:P27 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via country), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
4. country (wd:P17 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
5. continent (wd:P30 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as P30: is subproperty of located in/on physical feature / is subproperty of located on terrain feature / continent of which the subject is a part / continent of which the subject is a part / continent of which the subject is a part
6. applies to part (wd:P518 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via region), also known as applied to, applies to aspect, applies to form, applies to phase, apply to, etc.: part, aspect, or form of the item to which the claim applies / part of the item for which the claim is valid / part of the item for which the claim is valid
7. location (wd:P276 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via region), 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.
8. located in the administrative territorial entity (wd:P131 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via region), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
9. applies to jurisdiction (wd:P1001 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via Of country), 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] Properties found: country P17, end time probably "end time" P582, location P276, edition number P393, point in time P585, surface P664. I will confirm each.

[Tool]
Top 10 property alternatives:
1. end time (wd:P582 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as abolished, cease date, cease operation, cease time, closed, etc.: moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true / indicates the time an item ceases to exist or a statement stops being valid / indicates the time an item ceases to exist or a statement stops being valid / is subproperty of point in time
2. work period (end) (wd:P2032 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via end time for work), also known as active until, date of activity (end), end date of activity, end time for work, fl. (end), etc.: end of period during which a person or group flourished (fl. = "floruit") in their professional activity / end of period during which a person or group flourished (fl. = "floruit") in their professional activity / is subproperty of end time / is subproperty of floruit
3. start time (wd:P580 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv), also known as began, beginning, building date, effective, effectivity, etc.: indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid / is subproperty of point in time
4. duration (wd:P2047 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via time interval), also known as cook time, era, interval, length, length of time, etc.: length of time of an event or process / length of time of an event or process / length of time of an event or process
5. screenwriter (wd:P58 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P58), also known as film script by, game writer, scenarist, screenplay by, scriptwriter, etc.: author(s) of the screenplay or script for this work / author(s) of the screenplay or script for this work / person(s) who wrote the script for subject item / is subproperty of film crew member / is subproperty of author
6. combines lexemes (wd:P5238 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P5238), also known as combined lexeme, combines, compound lexeme, compound of, conflation, etc.: is subproperty of derived from lexeme / lexemes combined in this lexeme / is subproperty of derived from
7. Playbill production ID (wd:P5833 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P5833), also known as Playbill show ID, P5833: identifier for a theatrical production in the Playbill.com database
8. political coalition (wd:P5832 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P5832), also known as alliance, coalition, electoral alliance, electoral block, electoral list, etc.: agreement for cooperation between different political parties / is subproperty of member of
9. Artists in Canada record number (wd:P5239 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P5239), also known as P5239: authority control maintained by National Gallery of Canada ... data for artists who were born in Canada or worked in Canada
10. Filmow ID (wd:P5233 as prn/p/pr/wdt/ps/pqv/psv/pq/psn/pqn/wdtn/prv, matched via P5233), also known as Filmow identifier, P5233: identifier at the Filmow database of films and TV shows / identifier at the Filmow database of films and TV shows / identifier at the Filmow database of films and TV shows

[Assistant] Properties confirmed. Now I'll construct a SPARQL query to retrieve all items that are part of the 2018 ATP World Tour (wd:Q23039138) and get their country (P17), end time (P582), location (P276), edition number (P393), point in time (P585), and surface (P664). I must include item IRIs and sort by end time ascending. Many tournaments may not have end time; still sort. Use OPTIONAL for each property. Use rdfs:label in optional for labels. Then execute to check results.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] I'll first retrieve the tournaments that are part of the 2018 ATP World Tour and their end times, to verify the list and ordering.

[Tool]
Got 39 rows and 3 columns, showing the first 5 and last 5 rows below:
| tournament                                                   | tournamentLabel                                    | endTime                             |
| ------------------------------------------------------------ | -------------------------------------------------- | ----------------------------------- |
| 2018 Swedish Open (wd:Q55391498)                             | 2018 Swedish Open (en)                             |                                     |
| 2018 Tata Open Maharashtra (wd:Q44318733)                    | 2018 Tata Open Maharashtra (en)                    | 2018-01-06T00:00:00Z (xsd:dateTime) |
| 2018 Brisbane International (men) (wd:Q46911399)             | 2018 Brisbane International (men) (en)             | 2018-01-07T00:00:00Z (xsd:dateTime) |
| 2018 Qatar ExxonMobil Open (wd:Q44318591)                    | 2018 Qatar ExxonMobil Open (en)                    | 2018-01-08T00:00:00Z (xsd:dateTime) |
| 2018 Sydney International (men) (wd:Q46911599)               | 2018 Sydney International (men) (en)               | 2018-01-13T00:00:00Z (xsd:dateTime) |
| ...                                                          | ...                                                | ...                                 |
| 2018 China Open (men) (wd:Q56819344)                         | 2018 China Open (men) (en)                         | 2018-10-07T00:00:00Z (xsd:dateTime) |
| 2018 Stockholm Open (wd:Q57171456)                           | 2018 Stockholm Open (en)                           | 2018-10-21T00:00:00Z (xsd:dateTime) |
| 2018 Kremlin Cup (men) (wd:Q57314287)                        | 2018 Kremlin Cup (men) (en)                        | 2018-10-21T00:00:00Z (xsd:dateTime) |
| 2018 Swiss Indoors (wd:Q57339856)                            | 2018 Swiss Indoors (en)                            | 2018-10-28T00:00:00Z (xsd:dateTime) |
| 2018 Oracle Challenger Series – Houston – Men (wd:Q59994545) | 2018 Oracle Challenger Series – Houston – Men (en) | 2018-11-18T00:00:00Z (xsd:dateTime) |

[Assistant] The endpoint returned 39 tournaments. Now I will run a full query to get all requested properties and labels, ordering by endTime ascending. The previous full query failed due to timeout but should work now; I'll run it again.

[Tool]
SPARQL execution failed:
('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))

[Assistant] I will now provide and execute the final SPARQL query that returns all tournaments that are part of the 2018 ATP World Tour (wd:Q23039138), including the requested properties (tournament IRI, country, end time, location, edition number, point in time, and surface), with English labels when available, sorted ascending by end time.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?latitude ?longitude WHERE {
  wd:Q90 wdt:P625 ?coordParis .
  wd:Q240798 wdt:P625 ?coordMont .
  BIND( REPLACE( STR( ?coordParis ) , "^POINT\\(|\\)$" , "" ) AS ?coordsParisStr ) BIND( REPLACE( STR( ?coordMont ) , "^POINT\\(|\\)$" , "" ) AS ?coordsMontStr ) BIND( xsd:double ( STRBEFORE( ?coordsParisStr , " " ) ) AS ?lonParis ) BIND( xsd:double ( STRAFTER( ?coordsParisStr , " " ) ) AS ?latParis ) BIND( xsd:double ( STRBEFORE( ?coordsMontStr , " " ) ) AS ?lonMont ) BIND( xsd:double ( STRAFTER( ?coordsMontStr , " " ) ) AS ?latMont ) BIND( ( ?latParis + ?latMont ) / 2.0 AS ?latitude ) BIND( ( ?lonParis + ?lonMont ) / 2.0 AS ?longitude )
}

Using entities:
Montigny-le-Bretonneux (wd:Q240798)
Paris (wd:Q90), also known as City of Light, City of Love, Lutetia

Using properties:
coordinate location (wd:P625 as wdt), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.

SPARQL execution failed:
('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))

Answer: latitude = 48.8136, longitude = 2.19236

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

[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 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] Step 1: I'll search Wikidata for the entities "Paris" and "Montigny-le-Bretonneux" to find their Q-IDs. I'll run entity searches for both names.

[Tool]
Top 10 entity alternatives:
1. Paris (wd:Q90), also known as City of Light, City of Love, Lutetia
2. Paris Saint-Germain FC (wd:Q483020, matched via Paris), also known as Paris, Paris Saint-Germain, Paris Saint-Germain F.C., Paris Saint-Germain Football Club, Paris SG, etc.
3. Paris (wd:Q167646), also known as Alexander, Alexandros
4. Paris (wd:Q830149), also known as Paris, Texas, Paris, TX
5. Paris (wd:Q984459), also known as Paris, ID, Paris, Idaho
6. Paris (wd:Q162121)
7. Paris (wd:Q576584), also known as Paris, IL, Paris Illinois, Paris, Illinois
8. Paris (wd:Q3181341), also known as Paris, Kentucky, Paris, KY
9. Paris (wd:Q79917), also known as Paris, AR, Paris, Arkansas
10. Paris (wd:Q1018504), also known as Paris, Tennessee, Paris, TN

[Assistant] Step 2: Search for Montigny-le-Bretonneux.

[Tool]
Top 10 entity alternatives:
1. Montigny-le-Bretonneux (wd:Q240798)
2. AS Montigny-le-Bretonneux (wd:Q2868096)
3. canton of Montigny-le-Bretonneux (wd:Q1726322)
4. temple de Montigny-le-Bretonneux (wd:Q60428202)
5. municipality of Montigny-le-Bretonneux (wd:Q118540991), also known as Administration of Montigny-le-Bretonneux, City of Montigny-le-Bretonneux, Montigny-le-Bretonneux city government
6. Mayor of Montigny-le-Bretonneux (wd:Q62587392)
7. town hall of Montigny-le-Bretonneux (wd:Q119319373)
8. Église Saint-Martin de Montigny-le-Bretonneux (wd:Q41802011)
9. Église Saint-Quentin-des-Sources de Montigny-le-Bretonneux (wd:Q41802013)
10. église Saint-Pierre-du-Lac de Montigny-le-Bretonneux (wd:Q41802014)

[Assistant] I'll list the P625 (coordinate location) triple for Paris (wd:Q90) to see the data format and extractable values.

[Tool]
Got 1 row and 3 columns:
| subject        | property                       | object                                     |
| -------------- | ------------------------------ | ------------------------------------------ |
| Paris (wd:Q90) | coordinate location (wdt:P625) | POINT(2.352222 48.856667) (geo:wktLiteral) |

[Tool]
Got 1 row and 3 columns:
| subject                             | property                       | object                                     |
| ----------------------------------- | ------------------------------ | ------------------------------------------ |
| Montigny-le-Bretonneux (wd:Q240798) | coordinate location (wdt:P625) | POINT(2.032500 48.770556) (geo:wktLiteral) |

[Assistant] Now I'll run a simple query to retrieve the raw coordinate values (wdt:P625) for Paris (wd:Q90) and Montigny-le-Bretonneux (wd:Q240798) to confirm their formats. I will request both coordinate literals.

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

[Assistant]
I'll build a SPARQL query that:
- retrieves the wkt coordinates (wdt:P625) for Paris (wd:Q90) and Montigny-le-Bretonneux (wd:Q240798),
- strips the 'POINT(' and ')' wrapper,
- splits each into longitude and latitude (WKT POINT is "lon lat"),
- converts those string parts to numeric values,
- computes the midpoint latitude and longitude as the average of the two latitudes and the two longitudes,
- returns one column named latitude and one named longitude.

Now I'll execute this SPARQL query to get the midpoint coordinates.

[Tool]
Got 1 row and 2 columns:
| latitude              | longitude             |
| --------------------- | --------------------- |
| 48.8136 (xsd:decimal) | 2.19236 (xsd:decimal) |

[Assistant] The query returned latitude 48.8136 and longitude 2.19236. Now I'll finalize by returning the SPARQL query and the numeric answer.

[Tool] Stopping