PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX psv: <http://www.wikidata.org/prop/statement/value/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT ?mountain ?mountainLabel ( MAX( ?elevation ) AS ?maxElev ) WHERE {
  VALUES ?type {
    wd:Q8502 wd:Q207326
  }
  ?mountain wdt:P31 / wdt:P279 * ?type .
  ?mountain p:P2044 ?ps .
  ?ps psv:P2044 ?val .
  ?val wikibase:quantityAmount ?elevation .
  ?val wikibase:quantityUnit wd:Q11573 .
  FILTER NOT EXISTS {
    ?mountain wdt:P376 ?astronomicalBody
  }
  OPTIONAL {
    ?mountain rdfs:label ?mountainLabel FILTER ( lang( ?mountainLabel ) = "en" )
  }
}
GROUP BY ?mountain ?mountainLabel
HAVING ( MAX( ?elevation ) > 8000 )
ORDER BY DESC ( ?maxElev )

Using entities:
metre (wd:Q11573), also known as m, mètre, metres
summit (wd:Q207326), also known as mountain peak, peak
mountain (wd:Q8502), also known as mount, mountains, mt., mtn.

Using properties:
elevation above sea level (wd:P2044 as p/psv), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, 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.
located on astronomical body (wd:P376 as wdt), also known as on astronomical body, on astronomical location, P376

Got 26 rows and 3 columns, showing the first 5 and last 5 rows below:
| mountain                            | mountainLabel             | maxElev            |
| ----------------------------------- | ------------------------- | ------------------ |
| Mount Everest (wd:Q513)             | Mount Everest (en)        | 8850 (xsd:decimal) |
| South Summit (wd:Q21298740)         | South Summit (en)         | 8749 (xsd:decimal) |
| K2 (wd:Q43512)                      | K2 (en)                   | 8611 (xsd:decimal) |
| Kanchenjunga (wd:Q82019)            | Kanchenjunga (en)         | 8586 (xsd:decimal) |
| K2 SW-Peak (wd:Q123366109)          | K2 SW-Peak (en)           | 8580 (xsd:decimal) |
| ...                                 | ...                       | ...                |
| Gasherbrum II (wd:Q186853)          | Gasherbrum II (en)        | 8034 (xsd:decimal) |
| Shishapangma (wd:Q105124)           | Shishapangma (en)         | 8027 (xsd:decimal) |
| Broad Peak Central (wd:Q921917)     | Broad Peak Central (en)   | 8011 (xsd:decimal) |
| Annapurna I East (wd:Q21274951)     | Annapurna I East (en)     | 8010 (xsd:decimal) |
| Shishapangma Central (wd:Q21839283) | Shishapangma Central (en) | 8008 (xsd:decimal) |

Answer: I ran a query that (1) finds items that are instances (or instances of subclasses) of mountain or summit, (2) reads the elevation statement normalized to metres, (3) keeps only items whose maximum recorded elevation in metres is > 8000, and (4) excludes any items that have a "located on astronomical body" (P376) value. The query returns 26 Wikidata items (IRIs with their English labels where available). Note: the result includes subsidiary peaks (e.g. Central/East subpeaks, named summits) in addition to the main "eight-thousanders"; if you want just the canonical 14 independent eight-thousanders I can refine the query further.

What are the mountains with an elevation above sea level greater than 8000 meters, excluding those located on any astronomical body?

[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 mountains with an elevation above sea level greater than 8000 meters, excluding those located on any astronomical body?

[Assistant] Step 1: I'll search for properties for elevation and for properties indicating location on astronomical body. Then I'll search for the mountain entity/class. I'll verify property identifiers before building the query.

[Tool]
Top 10 property alternatives:
1. elevation above sea level (wd:P2044 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.: height of the item (geographical object) as measured relative to sea level / height of the item as measured relative to sea level / height of the item as measured relative to sea level
2. floors above ground (wd:P1101 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via levels above ground), also known as floor count, levels above ground, number of floors, number of stories, storeys, etc.: above ground floor count of a building (ground floor and attic included) / above ground floor count of a building (ground floor included)
3. clearance (wd:P2793 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via height above ground), also known as air draft, air draught, bridge height, clearance below, deck height, etc.: distance between surface under bridge and bottom of a bridge deck / distance between surface and bottom of a bridge deck
4. highest point (wd:P610 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via elevation of highest point), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part
5. maximum operating altitude (wd:P2254 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via maximum altitude), also known as ceiling, maximum altitude, service ceiling, P2254: ceiling or maximum density altitude at which an aircraft can operate / is subproperty of elevation above sea level
6. cumulative elevation gain (wd:P7297 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as P7297: measure of the difference in height between two points on the terrain, when following a track
7. ride height (wd:P8594 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as ground clearance, P8594: ground clearance of vehicle or distance between the base of a vehicle tire and the lowest point
8. precipitation height (wd:P3036 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via snow height), also known as amount of precipitation, amount of rain, amount of snow, precipitation amount, rain amount, etc.: maximum height of snow or rain during an event or space of time / maximum height of snow or rain during an event or space of time
9. vertical depth (wd:P4511 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via lakedepth), also known as depth, lakedepth, oceandepth, P4511: vertical distance from a horizontal area to a point below. Compare with "horizontal depth" (P5524) / is subproperty of length
10. horizontal depth (wd:P5524 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as depth, spatial depth, thickness, P5524: spatial extent for 3D object along the third axis, what is ... to as its depth. Compare with "vertical depth" (P4511) / spatial extent for 3D object along the third axis, what is ... to as its depth. Compare with "vertical depth" (P4511) / is subproperty of length

[Tool]
Top 10 entity alternatives:
1. mountain (wd:Q8502), also known as mount, mountains, mt., mtn.: large landform that stretches above the surrounding land / large landform that stretches above the surrounding land / large natural elevation of the Earth's surface / is subclass of natural geographic object / is instance of geographical feature / is instance of geographical object / is instance of feature type / is subclass of elevation
2. Mountain (wd:Q1255792): is instance of musical group / American band
3. Mountain (wd:Q2032181), also known as Mountain, ND, Mountain, North Dakota: is instance of city of the United States / is instance of city in the United States / city in North Dakota, USA
4. Mountain (wd:Q1885759), also known as Town of Mountain: is instance of civil town of Wisconsin / civil town in Oconto County, Wisconsin
5. The Mountain (wd:Q910112, matched via Mountain), also known as Mountain: 1956 film by Edward Dmytryk / is instance of film
6. The Mountain (wd:Q1192451, matched via Mountain), also known as Mountain: 1991 film by Markus Imhoof / is instance of film
7. Mountain (wd:Q13422857): is instance of census-designated place in the United States / human settlement in Wisconsin, United States of America / is instance of census-designated place
8. 4-8-2 (wd:Q1473477, matched via Mountain), also known as 241, 2D1, 4/7, Mohawk, Mountain: is instance of Wheel arrangement / is instance of wheel arrangement / locomotive wheel arrangement / locomotive wheel arrangement / is subclass of locomotive
9. Mountain (wd:Q29293936): 2014 simulation video game / is instance of video game / 2014 video game / 2014 video game
10. The Mountain (wd:Q7752476, matched via Mountain), also known as Dag 2, Mountain: 2012 Turkish film by Alper Çağlar / is instance of film

[Assistant] I'll search for a property that indicates "located on astronomical body" or similar (e.g., 'located on astronomical body', 'located on small solar system body', 'located on' qualifiers). I need the exact property to exclude mountains on planets like Mars.

[Tool]
Top 10 property alternatives:
1. located on astronomical body (wd:P376 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as on astronomical body, on astronomical location, P376: single astronomical body on which features or places are situated
2. parent astronomical body (wd:P397 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as orbits, parent body, planetary system, primary, star, etc.: major astronomical body the item belongs to / major astronomical body the item belongs to
3. child astronomical body (wd:P398 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as child body, has moon, has planet, orbited by, satellite, etc.: the minor body that belongs to the item / minor body that belongs to the item
4. site of astronomical discovery (wd:P65 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps), also known as astronomical discovery site, discovered at observatory, observatory of discovery, observatory site of discovery, P65: the place where an astronomical object was discovered (observatory, satellite) / the place where an astronomical object was discovered (observatory, satellite) / the place where an astronomical object was discovered (observatory, satellite) / is subproperty of location of discovery / is subproperty of discovery place
5. located in/on physical feature (wd:P706 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via located on landform), also known as geographical region, is in, is on, landform, located on island, etc.: located on the specified landform or body of water. Should ... (provinces, states, countries, etc.). / located on the specified (geo)physical feature. Should not be ... political/administrative (P131) or a mountain range (P4552). / is subproperty of location / is subproperty of part of
6. located in or next to body of water (wd:P206 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via located on body of water), also known as adjacent water body, along river, bay, body of water, borders body of water, etc.: body of water on or next to which a place is located / is subproperty of location / sea, lake or river
7. companion of (wd:P399 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via has astronomical companion), also known as astronomical companion, astronomical companion of, astronomic companion, astronomic companion of, companion, etc.: two or more astronomic bodies of the same type relating to each other / two or more astronomic bodies of the same type relating to each other
8. location (wd:P276 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via located in), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
9. mountain range (wd:P4552 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via located on mountain range), also known as hill range, located in mountain range, located on mountain range, mountain belt, mountain system, etc.: range or subrange to which the geographical item belongs / range or subrange to which the geographical item belongs / is subproperty of geomorphological unit
10. coordinate location (wd:P625 as pqn/pqv/prn/pq/wdtn/psv/pr/psn/wdt/p/prv/ps, matched via location on earth), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject

[Assistant] Now I'll verify the elevation property (P2044) exists and is used in the KG by listing some triples that use it.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                | property                              | object            |
| ---------------------- | ------------------------------------- | ----------------- |
| Prague (wd:Q1085)      | elevation above sea level (wdt:P2044) | 235 (xsd:decimal) |
| Hamburg (wd:Q1055)     | elevation above sea level (wdt:P2044) | 6 (xsd:decimal)   |
| Boston (wd:Q100)       | elevation above sea level (wdt:P2044) | 43 (xsd:decimal)  |
| Stuttgart (wd:Q1022)   | elevation above sea level (wdt:P2044) | 245 (xsd:decimal) |
| Belfast (wd:Q10686)    | elevation above sea level (wdt:P2044) | 3 (xsd:decimal)   |
| Cardiff (wd:Q10690)    | elevation above sea level (wdt:P2044) | 41 (xsd:decimal)  |
| Zaragoza (wd:Q10305)   | elevation above sea level (wdt:P2044) | 211 (xsd:decimal) |
| Aachen (wd:Q1017)      | elevation above sea level (wdt:P2044) | 125 (xsd:decimal) |
| Georgetown (wd:Q10717) | elevation above sea level (wdt:P2044) | 0 (xsd:decimal)   |
| Ahmedabad (wd:Q1070)   | elevation above sea level (wdt:P2044) | 53 (xsd:decimal)  |
| ...                    | ...                                   | ...               |

[Assistant] I'll check if there's an item for "mountain peak" to ensure I include peaks classified differently.

[Tool]
Top 10 entity alternatives:
1. summit (wd:Q207326, matched via mountain peak), also known as mountain peak, peak: point on a surface that is higher in elevation than all points immediately adjacent to it, in topography / is subclass of geographic location / is subclass of elevation / is subclass of landform / is subclass of Landform / is subclass of terrain
2. Peak Mountain (wd:Q3373819): mountain in United States of America / is instance of mountain
3. Peak Mountain (North Carolina) (wd:Q8530346, matched via Peak Mountain), also known as Peak Mountain: mountain in United States of America / is instance of mountain
4. Peak Mountain (wd:Q34829164): mountain in the United States of America / is instance of mountain
5. Peak Mountain (wd:Q49060324): mountain in San Mateo County, California, United States of America / is instance of mountain
6. Peak Mountain (wd:Q49060327): mountain in California, United States of America / is instance of mountain
7. Peak Mountain (wd:Q49060328): mountain in Kentucky, United States of America / is instance of mountain
8. Mountain Peak (wd:Q122550145), also known as Mountain Peak, Texas, Mountain Peak, TX: hamlet in Ellis County, Texas, United States / is instance of human settlement / is instance of hamlet
9. MOUNTAIN PEAK (wd:Q127044914): is instance of musical work/composition / hymn tune
10. main peak (wd:Q111177881, matched via mountain peak), also known as main summit, mountain peak, mountain top: is subclass of geomorphological unit / is instance of highest point / highest summit of a mountain / is subclass of summit / is subclass of Summit

[Assistant] I'll try to build a query that finds items that are instance of mountain or subclass-related, have elevation above sea level (wdt:P2044) > 8000, and exclude those with a 'located on astronomical body' (wdt:P376) present and not being Earth (wd:Q2). Some mountains might not have P376 but have coordinate location; but the user requested excluding those located on any astronomical body—most Earth mountains won't have P376. But to be safe, I'll exclude items where P376 exists at all (since P376 would indicate an astronomical body assignment). I'll search for known 8000m peaks like Mount Everest (Q513) to check properties.

[Tool]
Top 10 entity alternatives:
1. Mount Everest (wd:Q513), also known as Chomolangma, Chomolungma, Everest, Himalaya Peak XV, Mount Chomolubutangma, etc.: Earth's highest mountain, with a peak at 8,848 metres (29,029 ... part of the Himalaya mountain range between Nepal and China / Earth's highest mountain, with a peak at 8,850 metres (29,035 ... part of the Himalaya mountain range between Nepal and China / Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas / is instance of tourist attraction / is instance of mountain
2. The Climbers (wd:Q61882061, matched via Mount Everest), also known as Chomolungma, Mount Everest, Qomolangma: 2019 film directed by Daniel Lee / is instance of film
3. Mount Everest (wd:Q31505139), also known as Mount Everest, South Africa: mountain in the Free State Province, South Africa / is instance of mountain
4. Mount Everest (wd:Q21939846), also known as Mount Everest, Australia: mountain in New South Wales, Australia / is instance of mountain
5. Mount Everest (wd:Q19977041): is instance of musical group / band
6. Mount Everest (wd:Q84260471), also known as IMO 9470985: is instance of ship / ship built in 2010
7. Mount Everest (wd:Q119187184): painting by G. Hemwell, Hampshire Cultural Trust Headquarters, Winchester (Hampshire County Council’s Fine Art Collection) / is instance of painting
8. Mount Everest (wd:Q60102972): is instance of scholarly article / is instance of academic article / article published March 1921
9. Mount Everest (wd:Q60106019): is instance of scholarly article / is instance of academic article / article published November 1921
10. Mount Everest (wd:Q60259462): is instance of scholarly article / is instance of academic article / article published January 1933

[Tool]
Got 1,428 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                                                    | object                                                                                |
| ----------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
| Mount Everest (wd:Q513) | instance of (wdt:P31)                                       | mountain (wd:Q8502)                                                                                |
| Mount Everest (wd:Q513) | country (wdt:P17)                                           | People's Republic of China (wd:Q148)                                                                                |
| Mount Everest (wd:Q513) | located in the administrative territorial entity (wdt:P131) | Tibet Autonomous Region (wd:Q17269)                                                                                |
| Mount Everest (wd:Q513) | coordinate location (wdt:P625)                              | POINT(86.925000 27.988056) (geo:wktLiteral)                                                                         |
| Mount Everest (wd:Q513) | Commons category (wdt:P373)                                 | Mount Everest                                                                                |
| Mount Everest (wd:Q513) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Mount%20Everest%20as%20seen%20from%20Drukair2%20PLW%20edit.jpg> |
| Mount Everest (wd:Q513) | part of (wdt:P361)                                          | eight-thousander (wd:Q185552)                                                                                |
| Mount Everest (wd:Q513) | Freebase ID (wdt:P646)                                      | /m/0blbd                                                                                |
| Mount Everest (wd:Q513) | location (wdt:P276)                                         | Himalayas (wd:Q5451)                                                                                |
| Mount Everest (wd:Q513) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/1283416/>                                                                                |
| ...                     | ...                                                         | ...                                                                                |

[Assistant] I need to find where elevation (P2044) is recorded for Mount Everest. I'll list that specific property for this item.

[Tool]
Got 1 row and 3 columns:
| subject                 | property                              | object                |
| ----------------------- | ------------------------------------- | --------------------- |
| Mount Everest (wd:Q513) | elevation above sea level (wdt:P2044) | 8848.86 (xsd:decimal) |

[Assistant] Good. Now plan the query: select items ?mountain where ?mountain wdt:P31/wdt:P279* wd:Q8502 (instance or subclass of mountain) and ?mountain wdt:P2044 ?elevation FILTER(?elevation>8000) and NOT EXISTS { ?mountain wdt:P376 ?body } to exclude those on astronomical bodies. Also exclude items that are themselves astronomical features? But P376 is the direct property. Some extraterrestrial mountains like Olympus Mons might be instance of mountain? Let's check Olympus Mons.

[Tool]
Top 10 entity alternatives:
1. Olympus Mons (wd:Q520), also known as Nix Olympica: tallest volcano on Mars / shield volcano on Mars / is instance of mons
2. Olympus Mons (wd:Q3351734): is instance of musical group / musicgroup
3. Mount Olympus (wd:Q80344), also known as Olympos, Olympus, Oros Olympos: mountain in Elassona municipality, Greece / mountain in Elassona municipality, Greece / is instance of national park / is instance of mountain / mountain in Greece
4. Mons (wd:Q83407), also known as Bergen: is instance of Belgian municipality with the title of city / is instance of municipality of Belgium / city in Wallonia, Belgium
5. mons pubis (wd:Q11722446), also known as mons veneris, mons Venus: rounded mass of fatty tissue found over the pubic symphysis / is subclass of particular anatomical entity / is instance of class of anatomical entity / is subclass of subdivision of pelvis
6. Aventine Hill (wd:Q194103, matched via Aventinus Mons), also known as Aventinus Mons: one of the seven hills of Rome, Italy / is instance of hill
7. Mount Olympus (wd:Q819979), also known as Chionístra, Ólympos, Olympus, Troodos, Όλυμπος, etc.: is instance of mountain / highest point in Cyprus
8. Faulquemont (wd:Q21896, matched via Falconis Mons), also known as Falconis Mons, Falkenberg, Folkenburch: is instance of commune of France / commune in Moselle, France
9. Olympus Corporation (wd:Q688619), also known as OLYMPUS CORPORATION, OLYMPUS CORPORATION  (Tokyo), OLYMPUS IMAGING CORP., OLYMPUS OPTICAL CO.,LTD, Olympus Soft Imaging Solutions, etc.: is instance of camera manufacturer / is instance of enterprise / is instance of business / Japanese company
10. Mons (wd:Q815711): is instance of commune of France / commune in Hérault, France

[Tool]
Got 584 rows and 3 columns, showing the first 10 rows below:
| subject                | property                       | object                                                                        |
| ---------------------- | ------------------------------ | ----------------------------------------------------------------------------- |
| Olympus Mons (wd:Q520) | instance of (wdt:P31)          | mons (wd:Q429088)                                                             |
| Olympus Mons (wd:Q520) | coordinate location (wdt:P625) | <http://www.wikidata.org/entity/Q111> Point(226.2 18.65) (geo:wktLiteral)     |
| Olympus Mons (wd:Q520) | Commons category (wdt:P373)    | Olympus Mons                                                                  |
| Olympus Mons (wd:Q520) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/Olympus%20Mons%20alt.jpg> |
| Olympus Mons (wd:Q520) | Freebase ID (wdt:P646)         | /m/05q6x                                                                      |
| Olympus Mons (wd:Q520) | location (wdt:P276)            | Tharsis quadrangle (wd:Q3054525)                                              |
| Olympus Mons (wd:Q520) | inception (wdt:P571)           | -3830000000-01-01T00:00:00 (xsd:dateTime)                                     |
| Olympus Mons (wd:Q520) | VIAF cluster ID (wdtn:P214)    | <http://viaf.org/viaf/234315996>                                              |
| Olympus Mons (wd:Q520) | GND ID (wdtn:P227)             | <https://d-nb.info/gnd/4429927-8>                                             |
| Olympus Mons (wd:Q520) | official name (wdt:P1448)      | Olympus Mons (la)                                                             |
| ...                    | ...                            | ...                                                                           |

[Assistant] Olympus Mons likely has P376 set (located on astronomical body). Let's check.

[Tool]
Got 1 row and 3 columns:
| subject                | property                                | object         |
| ---------------------- | --------------------------------------- | -------------- |
| Olympus Mons (wd:Q520) | located on astronomical body (wdt:P376) | Mars (wd:Q111) |

[Assistant]
So excluding items with P376 will remove extraterrestrial mountains. Now I'll construct and execute the SPARQL query:

Requirements:
- Items that are instance of mountain (wdt:P31 wd:Q8502) or subclass: sometimes peaks may be "summit" (Q207326) which is subclass of mountain; better to accept items where wdt:P31/wdt:P279* wd:Q8502 OR instance of subclass-of mountain. But SPARQL: ?mountain wdt:P31/wdt:P279* wd:Q8502. This pattern works: instance of (P31) or instance of something that is subclass of mountain (P279*).

- elevation wdt:P2044 ?elevation; FILTER (?elevation > 8000).

- Exclude if exists ?mountain wdt:P376 ?body.

- Return ?mountain (IRI) and optionally label and elevation.

Also ensure we capture items that are 'mountain' or 'summit' etc. The pattern P31/wdt:P279* wd:Q8502 should include instance of mountain and instance of subclass of mountain. But 'summit' is Q207326 which is subclass of geographic location and landform; need to check whether Q207326 is subclass of mountain; list its parent.

[Tool]
Got 4 rows and 3 columns:
| subject             | property               | object                            |
| ------------------- | ---------------------- | --------------------------------- |
| summit (wd:Q207326) | subclass of (wdt:P279) | elevation (wd:Q106589819)         |
| summit (wd:Q207326) | subclass of (wdt:P279) | terrain (wd:Q14524493)            |
| summit (wd:Q207326) | subclass of (wdt:P279) | geographic location (wd:Q2221906) |
| summit (wd:Q207326) | subclass of (wdt:P279) | landform (wd:Q271669)             |

[Assistant]
Summit isn't subclass of mountain, so P31/wdt:P279* wd:Q8502 won't catch summit instances unless they are instance of mountain directly. But most eight-thousanders are instance of mountain (Q8502). To be safe, we can include items that are instance of or subclass of mountain or instance of 'summit' (Q207326) or instance of 'mountain peak' synonyms. Alternatively, we can search for items that are "part of" eight-thousander (Q185552) or in the category 'eight-thousander'. But better to include both mountain (Q8502) and summit (Q207326). Use triple: ?mountain wdt:P31 ?type . FILTER (?type IN (wd:Q8502, wd:Q207326)) or more robust: ?mountain wdt:P31/wdt:P279* ?type . FILTER (?type = wd:Q8502 || ?type = wd:Q207326). But SPARQL inequality with booleans—I'll use VALUES ?type { wd:Q8502 wd:Q207326 } and ?mountain wdt:P31/wdt:P279* ?type.

Also ensure we exclude P376.

Add optional rdfs:label FILTER lang = "en".

Let's construct query.

Then execute.

[Tool]
Got 1,190 rows and 3 columns, showing the first 5 and last 5 rows below:
| mountain                            | mountainLabel             | elevation           |
| ----------------------------------- | ------------------------- | ------------------- |
| Denali North Peak (wd:Q123374328)   | Denali North Peak (en)    | 19470 (xsd:decimal) |
| Peak 17400 (wd:Q123374100)          | Peak 17400 (en)           | 17450 (xsd:decimal) |
| Mount Belford (wd:Q6919666)         | Mount Belford (en)        | 14203 (xsd:decimal) |
| Crestone Needle (wd:Q945543)        | Crestone Needle (en)      | 14203 (xsd:decimal) |
| Mount Bross (wd:Q6919868)           | Mount Bross (en)          | 14178 (xsd:decimal) |
| ...                                 | ...                       | ...                 |
| Shishapangma Central (wd:Q21839283) | Shishapangma Central (en) | 8008 (xsd:decimal)  |
| Double Crater (wd:Q5299682)         | Double Crater (en)        | 8007 (xsd:decimal)  |
| Bashful Peak (wd:Q4866805)          | Bashful Peak (en)         | 8005 (xsd:decimal)  |
| McMillan Spire (wd:Q14713812)       | McMillan Spire (en)       | 8004 (xsd:decimal)  |
| Terrace Mountain (wd:Q7703183)      | Terrace Mountain (en)     | 8002 (xsd:decimal)  |

[Assistant] I'll inspect the P2044 statement for Denali North Peak to see units and values.

[Tool]
Got 1 row and 3 columns:
| subject                           | property                            | object                                            |
| --------------------------------- | ----------------------------------- | ------------------------------------------------- |
| Denali North Peak (wd:Q123374328) | elevation above sea level (p:P2044) | s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 |

[Tool]
Got 6 rows and 3 columns:
| subject                                           | property                              | object                             |
| ------------------------------------------------- | ------------------------------------- | ---------------------------------- |
| s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 | elevation above sea level (ps:P2044)  | 19470 (xsd:decimal)                |
| s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 | wikibase:rank                         | wikibase:NormalRank                |
| s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 | rdf:type                              | wikibase:BestRank                  |
| s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 | elevation above sea level (psn:P2044) | v:78ffc69f9a98f60e58af356b1bda6298 |
| s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 | elevation above sea level (psv:P2044) | v:7d1ac1d4b1418fae2ac9b3ae52b11de4 |
| s:Q123374328-3bff12a4-4a98-18f1-ba54-1f92a8c9f768 | rdf:type                              | wikibase:Statement                 |

[Assistant]
Some peaks have elevation in feet (like 19470 maybe feet). P2044 values are in meters usually, but Denali North Peak shows 19470 (which is feet)? That's suspicious: Denali North Peak's elevation 19470 ft equals ~5934 m. But the user asked for elevation above sea level greater than 8000 meters. My query used raw numeric comparison assuming P2044 is meters, but values can be in different units, stored as numbers in Wikidata usually in meters for P2044? However the list result showed many US peaks with values like 14203, which are feet (14,203 feet), so P2044 values here might be in units of meters for some, feet for others. Wait earlier Mount Everest had 8848.86 which is meters. So inconsistent units are problematic: Wikidata uses a quantity with unit, but wdt:P2044 returns a normalized value in "meters"? The listing results showed 14203 for Mount Belford (elevation 14,203 ft) — in meters that would be ~4329 m. So selecting P2044 > 8000 would include many peaks measured in feet >8000 ft (~2438 m) erroneously.

We must ensure we filter by elevation in meters. There is a "wdtn:P2044" direct normalized value? The prefixes show wdt vs wdtn. wdt:P2044 returned raw numbers in original units apparently, but wdtn maybe normalized? Let's search for normalized property wdt:P2044? The user notes include wdt and wdtn prefixes; using wdtn:P2044 might give normalized value? Search for examples. For Mount Everest listing wdt:P2044 gave 8848.86. That seems meters. For US peaks, values like 14203 likely feet; but wdt may show meters or feet depending on how stored. There is also wdt:P2044 can have optional normalization via wikibase:quantityAmount and unit. But qlever endpoint may use wdt normalized to globe units? Let's inspect the data for Mount Belford (wd:Q6919666) and see full P2044 statement.

[Tool]
Got 1 row and 3 columns:
| subject                     | property                            | object                                          |
| --------------------------- | ----------------------------------- | ----------------------------------------------- |
| Mount Belford (wd:Q6919666) | elevation above sea level (p:P2044) | s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 |

[Tool]
Got 7 rows and 3 columns:
| subject                                         | property                              | object                                       |
| ----------------------------------------------- | ------------------------------------- | -------------------------------------------- |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | elevation above sea level (ps:P2044)  | 14203 (xsd:decimal)                          |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | wikibase:rank                         | wikibase:NormalRank                          |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | rdf:type                              | wikibase:BestRank                            |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | prov:wasDerivedFrom                   | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | elevation above sea level (psn:P2044) | v:7e0bd5d37cd4875bdfd6b0a1bd497a90           |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | elevation above sea level (psv:P2044) | v:daca18057a6bf376c6bb229ef624eee9           |
| s:Q6919666-A7B8AFFF-2B1A-4B1E-B22A-944A68599001 | rdf:type                              | wikibase:Statement                           |

[Tool]
Got 4 rows and 3 columns:
| subject                            | property                    | object                             |
| ---------------------------------- | --------------------------- | ---------------------------------- |
| v:daca18057a6bf376c6bb229ef624eee9 | wikibase:quantityUnit       | foot (wd:Q3710)                    |
| v:daca18057a6bf376c6bb229ef624eee9 | wikibase:quantityAmount     | 14203 (xsd:decimal)                |
| v:daca18057a6bf376c6bb229ef624eee9 | wikibase:quantityNormalized | v:7e0bd5d37cd4875bdfd6b0a1bd497a90 |
| v:daca18057a6bf376c6bb229ef624eee9 | rdf:type                    | wikibase:QuantityValue             |

[Tool]
Got 4 rows and 3 columns:
| subject                            | property                    | object                             |
| ---------------------------------- | --------------------------- | ---------------------------------- |
| v:7e0bd5d37cd4875bdfd6b0a1bd497a90 | wikibase:quantityUnit       | metre (wd:Q11573)                  |
| v:7e0bd5d37cd4875bdfd6b0a1bd497a90 | wikibase:quantityAmount     | 4329.08 (xsd:decimal)              |
| v:7e0bd5d37cd4875bdfd6b0a1bd497a90 | wikibase:quantityNormalized | v:7e0bd5d37cd4875bdfd6b0a1bd497a90 |
| v:7e0bd5d37cd4875bdfd6b0a1bd497a90 | rdf:type                    | wikibase:QuantityValue             |

[Tool] Got no rows and 3 columns

[Assistant] I'll run a query that reads the normalized quantity value for elevation (in metres) from the statement value node (psv:P2044 -> wikibase:quantityAmount) and filters for >8000 m, excluding items with P376. I'll execute it to verify results.

[Tool]
Got 29 rows and 3 columns, showing the first 5 and last 5 rows below:
| mountain                            | mountainLabel             | elevation             |
| ----------------------------------- | ------------------------- | --------------------- |
| Mount Everest (wd:Q513)             | Mount Everest (en)        | 8850 (xsd:decimal)    |
| Mount Everest (wd:Q513)             | Mount Everest (en)        | 8848.86 (xsd:decimal) |
| Mount Everest (wd:Q513)             | Mount Everest (en)        | 8848 (xsd:decimal)    |
| Mount Everest (wd:Q513)             | Mount Everest (en)        | 8844.43 (xsd:decimal) |
| South Summit (wd:Q21298740)         | South Summit (en)         | 8749 (xsd:decimal)    |
| ...                                 | ...                       | ...                   |
| Gasherbrum II (wd:Q186853)          | Gasherbrum II (en)        | 8034 (xsd:decimal)    |
| Shishapangma (wd:Q105124)           | Shishapangma (en)         | 8027 (xsd:decimal)    |
| Broad Peak Central (wd:Q921917)     | Broad Peak Central (en)   | 8011 (xsd:decimal)    |
| Annapurna I East (wd:Q21274951)     | Annapurna I East (en)     | 8010 (xsd:decimal)    |
| Shishapangma Central (wd:Q21839283) | Shishapangma Central (en) | 8008 (xsd:decimal)    |

[Assistant]
We have 29 rows because some mountains have multiple elevation statements; we want to return items with elevation >8000 but probably unique mountains. The user asked "What are the mountains with an elevation above sea level greater than 8000 meters, excluding those located on any astronomical body?" That implies listing mountains (the known eight-thousanders). There are 14 eight-thousanders (mountains > 8000 m): Everest, K2, Kangchenjunga, Lhotse, Makalu, Cho Oyu, Dhaulagiri I, Manaslu, Nanga Parbat, Annapurna I, Gasherbrum I, Broad Peak, Gasherbrum II, Shishapangma. We need to ensure our query returns these 14 mountain items. The result includes multiple entries per mountain. We should group or use MAX(?elevation) and then ensure >8000. But rule says "Do not perform additional computation on the result of the SPARQL query" — but grouping and MAX should be within SPARQL, that's allowed. Use SELECT DISTINCT ?mountain (MAX(?elevation) AS ?maxElev) WHERE ... GROUP BY ?mountain HAVING(MAX(?elevation)>8000). Also exclude P376. Include labels optionally.

Let's modify query: select ?mountain ?mountainLabel ?maxElev where ?mountain p:P2044 ?ps ; ?ps psv:P2044 ?val ; ?val wikibase:quantityAmount ?elevation ; ?val wikibase:quantityUnit wd:Q11573 . Then group.

Execute.

[Tool]
Got 26 rows and 3 columns, showing the first 5 and last 5 rows below:
| mountain                            | mountainLabel             | maxElev            |
| ----------------------------------- | ------------------------- | ------------------ |
| Mount Everest (wd:Q513)             | Mount Everest (en)        | 8850 (xsd:decimal) |
| South Summit (wd:Q21298740)         | South Summit (en)         | 8749 (xsd:decimal) |
| K2 (wd:Q43512)                      | K2 (en)                   | 8611 (xsd:decimal) |
| Kanchenjunga (wd:Q82019)            | Kanchenjunga (en)         | 8586 (xsd:decimal) |
| K2 SW-Peak (wd:Q123366109)          | K2 SW-Peak (en)           | 8580 (xsd:decimal) |
| ...                                 | ...                       | ...                |
| Gasherbrum II (wd:Q186853)          | Gasherbrum II (en)        | 8034 (xsd:decimal) |
| Shishapangma (wd:Q105124)           | Shishapangma (en)         | 8027 (xsd:decimal) |
| Broad Peak Central (wd:Q921917)     | Broad Peak Central (en)   | 8011 (xsd:decimal) |
| Annapurna I East (wd:Q21274951)     | Annapurna I East (en)     | 8010 (xsd:decimal) |
| Shishapangma Central (wd:Q21839283) | Shishapangma Central (en) | 8008 (xsd:decimal) |

[Assistant] The query returns 26 rows because it includes subsidiary peaks (summits, subpeaks, central, east, etc.). The user likely wants the main mountains with elevation >8000 m—i.e., the 14 eight-thousanders. How to restrict to principal summits? We can filter for items that are instances of "eight-thousander" (Q185552) via P361 (part of) or instance of? Earlier Mount Everest had part of (wdt:P361) eight-thousander (wd:Q185552). Let's check the eight-thousander item.

[Tool]
Top 10 entity alternatives:
1. eight-thousander (wd:Q185552), also known as 8000ander, 8000m peak, eight thousander, eightthousander: the 14 independent mountains on Earth that are more than 8,000 metres (26,247 ft) high above sea level / is instance of peak bagging classification / 14 peaks over 8,000 m (26,247 ft) / is subclass of elevation / Wikimedia list article
2. The Eight-Thousanders (wd:Q110516210): is instance of literary work / short story by Jason Sanford
3. List of Finnish mountaineers who have conquered eight-thousanders (wd:Q130530941): Finnish mountaineers who have conquered eight-thousanders

[Tool]
Got 401 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | --------------------------------------------------------------------------------------------- |
| eight-thousander (wd:Q185552) | instance of (wdt:P31)            | peak bagging classification (wd:Q97460675)                                                    |
| eight-thousander (wd:Q185552) | country (wdt:P17)                | People's Republic of China (wd:Q148)                                                          |
| eight-thousander (wd:Q185552) | Commons category (wdt:P373)      | Eight-thousanders                                                                             |
| eight-thousander (wd:Q185552) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Flight%20over%20himalaya%20annotated.jpg> |
| eight-thousander (wd:Q185552) | subclass of (wdt:P279)           | elevation (wd:Q106589819)                                                                     |
| eight-thousander (wd:Q185552) | Freebase ID (wdt:P646)           | /m/01zt7c                                                                                |
| eight-thousander (wd:Q185552) | follows (wdt:P155)               | seven-thousander (wd:Q65256324)                                                               |
| eight-thousander (wd:Q185552) | topic's main category (wdt:P910) | wd:Q6580213                                                                                |
| eight-thousander (wd:Q185552) | Quora topic ID (wdt:P3417)       | Eight-Thousanders                                                                             |
| eight-thousander (wd:Q185552) | Commons gallery (wdt:P935)       | Eight-thousander                                                                              |
| ...                           | ...                              | ...                                                                                |

[Assistant] We can find items that are instance of eight-thousander or part of it? How are the 14 peaks linked to Q185552? Let's find items that are part of or instance of Q185552.

[Tool]
Got 1 row and 2 columns:
| peak                    | peakLabel          |
| ----------------------- | ------------------ |
| Mount Everest (wd:Q513) | Mount Everest (en) |

[Assistant] Only Mount Everest has P361 eight-thousander, odd. Let's search for items that are instance of eight-thousander or have "category" linking.

[Tool] Got no rows and 2 columns

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?event ?eventLabel ?tournament ?tournamentLabel WHERE {
  ?event wdt:P31 wd:Q46190676 ; wdt:P2094 wd:Q16893072 ; wdt:P361 ?tournament .
  ?tournament wdt:P361 + ?tour .
  FILTER ( ?tour = wd:Q300008 || ?tour = wd:Q3775082 ) FILTER NOT EXISTS {
    ?event wdt:P1346 ?winner
  }
  OPTIONAL {
    ?event rdfs:label ?eventLabel .
    FILTER ( LANG( ?eventLabel ) = "en" )
  }
  OPTIONAL {
    ?tournament rdfs:label ?tournamentLabel .
    FILTER ( LANG( ?tournamentLabel ) = "en" )
  }
}
ORDER BY ?tournament ?event

Using entities:
men's singles (wd:Q16893072), also known as men's singles in tennis
ATP Tour (wd:Q300008), also known as ATP World Tour
Grand Prix tennis circuit (wd:Q3775082)
tennis event (wd:Q46190676), also known as tennis tournament event

Using properties:
winner (wd:P1346 as wdt), also known as 1st place medalist, awardee, champ, champion, has winner, etc.
competition class (wd:P2094 as wdt), also known as class for competition, compclass, disability sport classifications, qualification class, qualifies for, 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.

Answer: I ran the query and found 18 men's singles tennis events (instance of tennis event and competition class men's singles) that do not have a wdt:P1346 (winner) stated and whose tournament is (transitively) part of either the ATP Tour (wd:Q300008) or the Grand Prix tennis circuit (wd:Q3775082). The query returns the event and tournament IRIs (plus English labels where available).

What are the men's singles tennis events that do not have a winner indicated and are part of a tournament that belongs to either the ATP Tour or the Grand Prix tennis circuit?

[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 men's singles tennis events that do not have a winner indicated and are part of a tournament that belongs to either the ATP Tour or the Grand Prix tennis circuit?

[Assistant] I will search Wikidata for entities matching "men's singles" to find the class or items representing men's singles tennis events (so I can detect events of that type). I'll run a search for "men's singles".

[Tool]
Top 10 entity alternatives:
1. men's singles (wd:Q4305887), also known as men single skating: competition class in figure skating / is instance of competition class / is instance of sports discipline / is subclass of single skating
2. men's singles (wd:Q16893072), also known as men's singles in tennis: is instance of competition class / is instance of sports discipline / is instance of men's singles / discipline in tennis
3. single luge (wd:Q28913513, matched via men's singles), also known as men's singles, single luger, singles (luge), women's singles: men and women luge individual discipline / is subclass of sports discipline
4. men's singles (wd:Q28105722), also known as men's singles in badminton: is instance of competition class / is instance of sports discipline / sports discipline in badminton / is instance of men's singles
5. men's singles (wd:Q61588168), also known as men's individual: term referring to men's individual events in various types of sport / is instance of competition class / is subclass of men's sports / is instance of term
6. men's singles (wd:Q55581668): three-cushion billiards competition class / is instance of competition class
7. senior men's singles (wd:Q116481567): competition class of figure skating / is instance of competition class
8. wheelchair tennis men's singles (wd:Q50211922, matched via wheelchair men's singles), also known as wheelchair men's singles: competition class in wheelchair tennis / is instance of competition class / is instance of sports discipline / is instance of men's singles
9. senior men's singles (wd:Q50825939), also known as champions men's singles, legends men's singles: is instance of competition class / tennis discipline
10. 2022 French Open – men's singles (wd:Q107126329, matched via 2022 Roland-Garros – Men's singles), also known as 2022 Roland-Garros – Men's singles: is instance of tennis event / tennis championship

[Assistant] I'll inspect properties of a known men's singles tennis event (2022 French Open – men's singles) to see how winners and tournament membership are modeled. I'll list triples for that item.

[Tool]
Got 95 rows and 3 columns, showing the first 10 rows below:
| subject                                          | property                           | object                                           |
| ------------------------------------------------ | ---------------------------------- | ------------------------------------------------ |
| 2022 French Open – men's singles (wd:Q107126329) | instance of (wdt:P31)              | tennis event (wd:Q46190676)                      |
| 2022 French Open – men's singles (wd:Q107126329) | country (wdt:P17)                  | France (wd:Q142)                                 |
| 2022 French Open – men's singles (wd:Q107126329) | part of (wdt:P361)                 | 2022 French Open (wd:Q107026465)                 |
| 2022 French Open – men's singles (wd:Q107126329) | location (wdt:P276)                | Stade Roland Garros (wd:Q1613027)                |
| 2022 French Open – men's singles (wd:Q107126329) | sport (wdt:P641)                   | tennis (wd:Q847)                                 |
| 2022 French Open – men's singles (wd:Q107126329) | follows (wdt:P155)                 | 2021 French Open – men's singles (wd:Q99526058)  |
| 2022 French Open – men's singles (wd:Q107126329) | followed by (wdt:P156)             | 2023 French Open – Men's singles (wd:Q112433332) |
| 2022 French Open – men's singles (wd:Q107126329) | point in time (wdt:P585)           | 2022-01-01T00:00:00Z (xsd:dateTime)              |
| 2022 French Open – men's singles (wd:Q107126329) | number of participants (wdt:P1132) | 128 (xsd:decimal)                                |
| 2022 French Open – men's singles (wd:Q107126329) | winner (wdt:P1346)                 | Rafael Nadal (wd:Q10132)                         |
| ...                                              | ...                                | ...                                              |

[Assistant] I'll search for the entity for "ATP Tour" and "Grand Prix tennis circuit" to get their Wikidata items.

[Tool]
Top 10 entity alternatives:
1. ATP Tour (wd:Q300008), 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
2. ATP World Tour 250 series (wd:Q300017, matched via ATP 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
3. ATP Challenger Tour (wd:Q299345), also known as ATP Challenger, ATP Challengers, ATP Challenger Series, ATP Challenger tournament, ATP Challenger Tour/Series, etc.: is instance of tennis tour with multiple editions / international men's tennis tournaments / is subclass of tennis tour
4. ATP Tour Awards (wd:Q434468): is instance of tennis award / ATP tennis awards for men
5. 2011 ATP World Tour (wd:Q300013, matched via 2011 atp tour), also known as 2011 atp tour: is instance of tennis tour edition / men's tennis circuit / tennis tournament / tennis tournament
6. 2010 ATP World Tour (wd:Q300012, matched via 2010 atp tour), also known as 2010 atp tour: is instance of tennis tour edition / tennis tournament / tennis tournament / tennis circuit
7. 2022 ATP Tour (wd:Q109743038): is instance of tennis tour edition / men's tennis circuit
8. 2023 ATP Tour (wd:Q111441127): is instance of tennis tour edition / men's tennis circuit
9. 2009 ATP World Tour (wd:Q300011, matched via 2009 atp tour), 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
10. 2024 ATP Tour (wd:Q117284577): is instance of tennis tour edition / men's tennis circuit

[Assistant] Now search for "Grand Prix tennis circuit".

[Tool]
Top 10 entity alternatives:
1. Grand Prix tennis circuit (wd:Q3775082): is instance of tennis tour with multiple editions / is instance of recurring sporting event / is subclass of tennis tour / professional tennis tour
2. Albert Park Circuit (wd:Q171288, matched via Australian Grand Prix Circuit), also known as Australian Grand Prix Circuit, Melbourne Grand Prix Circuit: street circuit in Melbourne, Victoria, Australia / is instance of street circuit
3. Kyalami (wd:Q171667, matched via Kyalami Grand Prix Circuit), also known as Kyalami Grand Prix Circuit: is instance of motorsport racing track / Race track in South Africa
4. Porsche Tennis Grand Prix (wd:Q311783): women's tennis tournament at Stuttgart, Germany / is instance of recurring tennis tournament / is subclass of WTA tennis tournament
5. Dallas Grand Prix Circuit (wd:Q16040264): is instance of motorsport racing track / Formula One circuit in Dallas, Texas
6. Grand Prix Circuit (wd:Q2444507): is instance of video game / 1988 video game / 1988 video game / 1988 video game
7. Madrid Tennis Grand Prix (wd:Q299532): defunct men's tennis tournament at Madrid, Spain / is instance of recurring tennis tournament / is subclass of tennis tournament / tennis tournament / tennis tournament
8. 1970 Grand Prix circuit (wd:Q3465182): is instance of tennis tour edition / tennis circuit
9. 1975 Grand Prix circuit (wd:Q3465233): is instance of tennis tour edition / tennis circuit
10. 1976 Grand Prix circuit (wd:Q3465243): is instance of tennis tour edition / tennis circuit

[Assistant] I will search for properties linking a tennis event to its tournament and to the tour the tournament belongs to. From earlier, men's singles event had 'part of' (P361) linking to the tournament (e.g., 2022 French Open). The tournament likely has a property indicating the tour it belongs to. Search for properties used on tournaments like 'tour' or 'part of series' or 'instance of' with ATP Tour or Grand Prix. I'll inspect the tournament item for the French Open (wd:Q107026465).

[Tool]
Got 177 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                    | object                                                                                |
| -------------------------------- | ----------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- |
| 2022 French Open (wd:Q107026465) | instance of (wdt:P31)                                       | French Open (wd:Q43605)                                                                                |
| 2022 French Open (wd:Q107026465) | country (wdt:P17)                                           | France (wd:Q142)                                                                                |
| 2022 French Open (wd:Q107026465) | located in the administrative territorial entity (wdt:P131) | Paris (wd:Q90)                                                                                |
| 2022 French Open (wd:Q107026465) | Google Knowledge Graph ID (wdtn:P2671)                      | <http://g.co/kg/g/11rfpf6h55>                                                                             |
| 2022 French Open (wd:Q107026465) | Commons category (wdt:P373)                                 | 2022 Roland Garros                                                                                |
| 2022 French Open (wd:Q107026465) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Kecmanovic%20RG22%20%2816%29%20%2852144307779%29.jpg> |
| 2022 French Open (wd:Q107026465) | location (wdt:P276)                                         | Stade Roland Garros (wd:Q1613027)                                                                         |
| 2022 French Open (wd:Q107026465) | has part(s) (wdt:P527)                                      | 2022 French Open – men's singles (wd:Q107126329)                                                          |
| 2022 French Open (wd:Q107026465) | sport (wdt:P641)                                            | tennis (wd:Q847)                                                                                |
| 2022 French Open (wd:Q107026465) | official website (wdt:P856)                                 | <https://www.rolandgarros.com/en-us/>                                                                     |
| ...                              | ...                                                         | ...                                                                                |

[Assistant] I need to find how tournaments are linked to the ATP Tour or Grand Prix circuit. Search properties on tournament items that could link to those tours, like "part of" (P361), "competition class", "tour", or "series". I'll search properties of an ATP Tour tournament, e.g., '2022 Indian Wells' or a small ATP event. Let's search for a tournament that is instance of 'ATP Tour' or has 'ATP Tour' as property. Search for items with 'member of' or 'series' linking to ATP Tour. Better: search for tournaments that have 'part of the tour' property; inspect properties used on an ATP 250 event. I'll search for "ATP Tour" occurrences as object.

[Tool]
Got 12 rows and 3 columns, showing the first 10 rows below:
| subject                                                | property           | object                |
| ------------------------------------------------------ | ------------------ | --------------------- |
| ATP Tour Masters 1000 (wd:Q300029)                     | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| ATP Finals (wd:Q270907)                                | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| ATP World Tour 500 series (wd:Q300018)                 | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| ATP World Tour 250 series (wd:Q300017)                 | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| Laver Cup (wd:Q26694763)                               | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| Washington Open (wd:Q299950)                           | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| ATP Challenger Tour (wd:Q299345)                       | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| Gijón Open (wd:Q113950895)                             | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| Hangzhou Open (wd:Q130237551)                          | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| 2011 U.S. Men's Clay Court Championships (wd:Q1575064) | part of (wdt:P361) | ATP Tour (wd:Q300008) |
| ...                                                    | ...                | ...                   |

[Assistant] It appears tournaments or series use P361 "part of" pointing to ATP Tour. So tournaments that are part of ATP Tour can be found via ?tournament wdt:P361 wd:Q300008. For Grand Prix tennis circuit, likely tournaments have P361 wd:Q3775082. I'll verify.

[Tool]
Got 6 rows and 3 columns:
| subject                                  | property           | object                                  |
| ---------------------------------------- | ------------------ | --------------------------------------- |
| Milan Indoor (wd:Q125337761)             | part of (wdt:P361) | Grand Prix tennis circuit (wd:Q3775082) |
| Donnay Indoor Championships (wd:Q299206) | part of (wdt:P361) | Grand Prix tennis circuit (wd:Q3775082) |
| Milan Indoor (wd:Q299543)                | part of (wdt:P361) | Grand Prix tennis circuit (wd:Q3775082) |
| Sydney Indoor (wd:Q299783)               | part of (wdt:P361) | Grand Prix tennis circuit (wd:Q3775082) |
| Tokyo Indoor (wd:Q299814)                | part of (wdt:P361) | Grand Prix tennis circuit (wd:Q3775082) |
| wd:Q3663286                              | part of (wdt:P361) | Grand Prix tennis circuit (wd:Q3775082) |

[Assistant]
Now I need to find men's singles tennis events that do not have a winner indicated and are part of a tournament that is part of ATP Tour or Grand Prix tennis circuit.

Plan: query for items that are instance of tennis event (wd:Q46190676) and part of a tournament (?tournament) via wdt:P361? Wait, earlier the men's singles item had wdt:P31 tennis event and wdt:P361 pointing to tournament (2022 French Open). So our query should find items WHERE ?event wdt:P31 wd:Q46190676; ?event wdt:P641 wd:Q847 maybe optional; ?event wdt:P361 ?tournament; ?tournament wdt:P361 wd:Q300008 OR wd:Q3775082; and ensure event lacks wdt:P1346 (winner).

We must return IRIs of items. Also maybe men's singles specifically, not all tennis events—some events might be doubles or women's singles. Need to restrict to men's singles. How is that indicated? Many events have label "men's singles" in their instance of? There is a 'competition class' like tennis men's singles (wd:Q16893072). Let's inspect that entity.

[Tool]
Got 139 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                           | object                          |
| ---------------------------- | ---------------------------------- | ------------------------------- |
| men's singles (wd:Q16893072) | instance of (wdt:P31)              | sports discipline (wd:Q2312410) |
| men's singles (wd:Q16893072) | Commons category (wdt:P373)        | Men's singles (tennis)          |
| men's singles (wd:Q16893072) | sport (wdt:P641)                   | tennis (wd:Q847)                |
| men's singles (wd:Q16893072) | different from (wdt:P1889)         | men's singles (wd:Q28105722)    |
| men's singles (wd:Q16893072) | number of participants (wdt:P1132) | 2 (xsd:decimal)                 |
| men's singles (wd:Q16893072) | competition class (wdt:P2094)      | male (wd:Q6581097)              |
| men's singles (wd:Q16893072) | opposite of (wdt:P461)             | women's singles (wd:Q16893403)  |
| men's singles (wd:Q16893072) | wdt:P31279                         | sports discipline (wd:Q2312410) |
| men's singles (wd:Q16893072) | schema:description                 | deporte de tenis (es)           |
| men's singles (wd:Q16893072) | schema:name                        | đơn nam (vi)                    |
| ...                          | ...                                | ...                             |

[Tool]
Top 10 property alternatives:
1. competition class (wd:P2094 as p/wdt), also known as class for competition, compclass, disability sport classifications, qualification class, qualifies for, etc.: official classification by a regulating body under which the ... teams, participants, or equipment) qualifies for inclusion / official classification by a regulating body under which the ... teams, participants, or equipment) qualifies for inclusion
2. sport (wd:P641 as p/wdt), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
3. winner (wd:P1346 as p/wdt, matched via champion), also known as 1st place medalist, awardee, champ, champion, has winner, etc.: winner of a competition or similar event, not to be used for ... qualified with "for work" (P1686)) or for wars or battles / winner of an event - do not use for awards (use P166 instead), nor for wars or battles / is subproperty of participating team / is subproperty of participant
4. location (wd:P276 as p/wdt, matched via place held), 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.
5. number of participants (wd:P1132 as p/wdt, matched via number of competitors), also known as number of competitors, number of teams, participant count, participants, qty participants, etc.: number of participants of an event, e.g. people or groups of people that take part in the event (NO units) / is subproperty of quantity
6. part of (wd:P361 as p/wdt, matched via component of), 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))
7. point in time (wd:P585 as p/wdt, matched via time of event), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true
8. follows (wd:P155 as p/wdt, matched via is after), also known as before was, comes after, is after, preceded by, predecessor, etc.: immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)]
9. instance of (wd:P31 as p/wdt, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. followed by (wd:P156 as p/wdt, matched via comes before), also known as comes before, continued as, next, next element, next is, etc.: immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)] / immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)] / immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)]

No other items found

[Assistant] We can restrict to events whose 'competition class' (P2094) is men's singles (wd:Q16893072). Let's check an example: the earlier French Open men's singles Q107126329 — does it have P2094? From list earlier, maybe not. Check.

[Tool]
Got 1 row and 3 columns:
| subject                                          | property                      | object                       |
| ------------------------------------------------ | ----------------------------- | ---------------------------- |
| 2022 French Open – men's singles (wd:Q107126329) | competition class (wdt:P2094) | men's singles (wd:Q16893072) |

[Assistant]
Good. So we can restrict events to those with P2094 wd:Q16893072.

Now build SPARQL: select ?event ?eventLabel ?tournament ?tournamentLabel maybe. Conditions:

?event wdt:P31 wd:Q46190676 .  # tennis event

?event wdt:P2094 wd:Q16893072 . # men's singles

?event wdt:P361 ?tournament .

?tournament wdt:P361 ?tour . FILTER(?tour = wd:Q300008 || ?tour = wd:Q3775082)

And ensure event has no winner. To ensure no winner, we can use FILTER NOT EXISTS { ?event wdt:P1346 ?winner }.

Return ?event and ?tournament IRIs, and optionally labels via rdfs:label with FILTER(LANG(...)). Use optional clauses to get labels.

We must follow rule: use rdfs:label or similar. We'll include OPTIONAL { ?event rdfs:label ?eventLabel FILTER(LANG(?eventLabel) = "en") } same for tournament.

Let's craft query. Then execute it.

We must explain thought process before and after each step and function call. So in our messages we must comment steps and rationale; we've already been doing commentary. But developer rule: "Explain your thought process before and after each step and function call." So before calling execute, explain. After receiving results, explain and then call final answer function.

Now call functions.execute with the SPARQL.

I'll run a SPARQL SELECT query to find items that are tennis events, have competition class "men's singles" (wd:Q16893072), are part of a tournament (?tournament), and whose tournament is part of either the ATP Tour (wd:Q300008) or the Grand Prix tennis circuit (wd:Q3775082). I'll also require that the event has no winner (no wdt:P1346). I'll request English labels as optional.

[Tool] Got no rows and 4 columns

[Tool]
Got 207 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                                                    | object                                                                                |
| ---------------------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------------------------- |
| Washington Open (wd:Q299950) | instance of (wdt:P31)                                       | business (wd:Q4830453)                                                                   |
| Washington Open (wd:Q299950) | country (wdt:P17)                                           | United States (wd:Q30)                                                                   |
| Washington Open (wd:Q299950) | located in the administrative territorial entity (wdt:P131) | Washington, D.C. (wd:Q61)                                                                |
| Washington Open (wd:Q299950) | coordinate location (wdt:P625)                              | POINT(-77.037000 38.954000) (geo:wktLiteral)                                             |
| Washington Open (wd:Q299950) | Commons category (wdt:P373)                                 | Washington Open                                                                          |
| Washington Open (wd:Q299950) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Citi%20Open%20%2843040287494%29.jpg> |
| Washington Open (wd:Q299950) | part of (wdt:P361)                                          | ATP World Tour 500 series (wd:Q300018)                                                   |
| Washington Open (wd:Q299950) | subclass of (wdt:P279)                                      | tennis tournament (wd:Q13219666)                                                         |
| Washington Open (wd:Q299950) | Freebase ID (wdt:P646)                                      | /m/07w_13                                                                                |
| Washington Open (wd:Q299950) | location (wdt:P276)                                         | William H.G. FitzGerald Tennis Center (wd:Q8010306)                                      |
| ...                          | ...                                                         | ...                                                                                |

[Assistant] I will modify the query to follow transitive 'part of' (P361+) from the tournament to the tour, to catch tournaments that are part of an intermediate series (e.g., ATP 500 series) that itself is part of the ATP Tour. Then I'll execute the updated query.

[Tool]
Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| event                                                  | eventLabel                                  | tournament                                               | tournamentLabel                                 |
| ------------------------------------------------------ | ------------------------------------------- | -------------------------------------------------------- | ----------------------------------------------- |
| 2024 Swiss Indoors – Singles (wd:Q130551837)           | 2024 Swiss Indoors – Singles (en)           | 2024 Swiss Indoors (wd:Q123740371)                       | 2024 Swiss Indoors (en)                         |
| 2024 Almaty Open – Singles (wd:Q130494047)             | 2024 Almaty Open – Singles (en)             | 2024 Almaty Open (wd:Q124154944)                         | 2024 Almaty Open (en)                           |
| 2025 Abierto Mexicano Telcel – Singles (wd:Q132673595) | 2025 Abierto Mexicano Telcel – Singles (en) | 2025 Abierto Mexicano Telcel (wd:Q125836016)             | 2025 Abierto Mexicano Telcel (en)               |
| 2025 Rio Open – Singles (wd:Q132360560)                | 2025 Rio Open – Singles (en)                | 2025 Rio Open (wd:Q125836535)                            | 2025 Rio Open (en)                              |
| 2025 ABN AMRO Open – Singles (wd:Q131924552)           | 2025 ABN AMRO Open – Singles (en)           | 2025 ABN AMRO Open (wd:Q125836547)                       | 2025 ABN AMRO Open (en)                         |
| ...                                                    | ...                                         | ...                                                      | ...                                             |
| 2025 Chile Open – Singles (wd:Q132673573)              | 2025 Chile Open – Singles (en)              | 2025 Chile Open (wd:Q132166475)                          | 2025 Chile Open (en)                            |
| 1996 Salem Open Beijing – singles (wd:Q3674888)        | 1996 Salem Open Beijing – singles (en)      | 1996 Salem Open Beijing and the Nokia Open (wd:Q3674884) | 1996 Salem Open Beijing and the Nokia Open (en) |
| wd:Q8354409                                            |                                             | wd:Q3875201                                              |                                                 |
| 2003 Open SEAT Godó – singles (wd:Q3994371)            | 2003 Open SEAT Godó – singles (en)          | 2003 Open SEAT Godó (wd:Q3994368)                        | 2003 Open SEAT Godó (en)                        |
| wd:Q99237069                                           |                                             | 2020 Italian Open – Men (wd:Q99312017)                   | 2020 Italian Open – Men (en)                    |

[Assistant] I'll run the final SPARQL (with DISTINCT) to retrieve the complete list of event IRIs and their tournaments, then I'll return the query and the list of events (IRIs) as the answer.

[Tool]
Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| event                                                  | eventLabel                                  | tournament                                               | tournamentLabel                                 |
| ------------------------------------------------------ | ------------------------------------------- | -------------------------------------------------------- | ----------------------------------------------- |
| 2024 Swiss Indoors – Singles (wd:Q130551837)           | 2024 Swiss Indoors – Singles (en)           | 2024 Swiss Indoors (wd:Q123740371)                       | 2024 Swiss Indoors (en)                         |
| 2024 Almaty Open – Singles (wd:Q130494047)             | 2024 Almaty Open – Singles (en)             | 2024 Almaty Open (wd:Q124154944)                         | 2024 Almaty Open (en)                           |
| 2025 Abierto Mexicano Telcel – Singles (wd:Q132673595) | 2025 Abierto Mexicano Telcel – Singles (en) | 2025 Abierto Mexicano Telcel (wd:Q125836016)             | 2025 Abierto Mexicano Telcel (en)               |
| 2025 Rio Open – Singles (wd:Q132360560)                | 2025 Rio Open – Singles (en)                | 2025 Rio Open (wd:Q125836535)                            | 2025 Rio Open (en)                              |
| 2025 ABN AMRO Open – Singles (wd:Q131924552)           | 2025 ABN AMRO Open – Singles (en)           | 2025 ABN AMRO Open (wd:Q125836547)                       | 2025 ABN AMRO Open (en)                         |
| ...                                                    | ...                                         | ...                                                      | ...                                             |
| 2025 Chile Open – Singles (wd:Q132673573)              | 2025 Chile Open – Singles (en)              | 2025 Chile Open (wd:Q132166475)                          | 2025 Chile Open (en)                            |
| 1996 Salem Open Beijing – singles (wd:Q3674888)        | 1996 Salem Open Beijing – singles (en)      | 1996 Salem Open Beijing and the Nokia Open (wd:Q3674884) | 1996 Salem Open Beijing and the Nokia Open (en) |
| wd:Q8354409                                            |                                             | wd:Q3875201                                              |                                                 |
| 2003 Open SEAT Godó – singles (wd:Q3994371)            | 2003 Open SEAT Godó – singles (en)          | 2003 Open SEAT Godó (wd:Q3994368)                        | 2003 Open SEAT Godó (en)                        |
| wd:Q99237069                                           |                                             | 2020 Italian Open – Men (wd:Q99312017)                   | 2020 Italian Open – Men (en)                    |

[Assistant] I'll re-run the same final query to retrieve the full list of events and their tournaments, so I can list the event IRIs and labels in the answer.

[Tool]
Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| event                                                  | eventLabel                                  | tournament                                               | tournamentLabel                                 |
| ------------------------------------------------------ | ------------------------------------------- | -------------------------------------------------------- | ----------------------------------------------- |
| 2024 Swiss Indoors – Singles (wd:Q130551837)           | 2024 Swiss Indoors – Singles (en)           | 2024 Swiss Indoors (wd:Q123740371)                       | 2024 Swiss Indoors (en)                         |
| 2024 Almaty Open – Singles (wd:Q130494047)             | 2024 Almaty Open – Singles (en)             | 2024 Almaty Open (wd:Q124154944)                         | 2024 Almaty Open (en)                           |
| 2025 Abierto Mexicano Telcel – Singles (wd:Q132673595) | 2025 Abierto Mexicano Telcel – Singles (en) | 2025 Abierto Mexicano Telcel (wd:Q125836016)             | 2025 Abierto Mexicano Telcel (en)               |
| 2025 Rio Open – Singles (wd:Q132360560)                | 2025 Rio Open – Singles (en)                | 2025 Rio Open (wd:Q125836535)                            | 2025 Rio Open (en)                              |
| 2025 ABN AMRO Open – Singles (wd:Q131924552)           | 2025 ABN AMRO Open – Singles (en)           | 2025 ABN AMRO Open (wd:Q125836547)                       | 2025 ABN AMRO Open (en)                         |
| ...                                                    | ...                                         | ...                                                      | ...                                             |
| 2025 Chile Open – Singles (wd:Q132673573)              | 2025 Chile Open – Singles (en)              | 2025 Chile Open (wd:Q132166475)                          | 2025 Chile Open (en)                            |
| 1996 Salem Open Beijing – singles (wd:Q3674888)        | 1996 Salem Open Beijing – singles (en)      | 1996 Salem Open Beijing and the Nokia Open (wd:Q3674884) | 1996 Salem Open Beijing and the Nokia Open (en) |
| wd:Q8354409                                            |                                             | wd:Q3875201                                              |                                                 |
| 2003 Open SEAT Godó – singles (wd:Q3994371)            | 2003 Open SEAT Godó – singles (en)          | 2003 Open SEAT Godó (wd:Q3994368)                        | 2003 Open SEAT Godó (en)                        |
| wd:Q99237069                                           |                                             | 2020 Italian Open – Men (wd:Q99312017)                   | 2020 Italian Open – Men (en)                    |

[Assistant] The query returned 18 events. I will present the SPARQL query and the list of event IRIs (and labels where available) in the final answer. Now I'll call the answer function with the final query and the answer description.

[Tool] Stopping