PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?goat ?goatLabel ?image ?startTime ?endTime WHERE {
  wd:Q151345 wdt:P161 ?goat .
  OPTIONAL {
    ?goat rdfs:label ?goatLabel FILTER ( LANG( ?goatLabel ) = "en" )
  }
  OPTIONAL {
    ?goat wdt:P18 ?image
  }
  OPTIONAL {
    ?goat wdt:P569 ?startTime
  }
  OPTIONAL {
    SELECT ?goat ( MIN( ?nextStartTime ) AS ?endTime ) WHERE {
      ?nextGoat wdt:P155 ?goat .
      ?nextGoat wdt:P569 ?nextStartTime .
      FILTER ( datatype( ?nextStartTime ) = xsd:dateTime || datatype( ?nextStartTime ) = xsd:date )
    }
    GROUP BY ?goat
  }
  BIND( COALESCE ( ?endTime , NOW () ) AS ?endTime )
}
ORDER BY ?startTime

SPARQL execution failed:
Invalid SPARQL query: The target variable ?endTime of an AS clause was already used before in the query body.

I revised the SPARQL query to use a subquery for computing the earliest next start time (end time) for each goat, ensuring correct aggregation and grouping. The label retrieval is simplified with a single OPTIONAL clause filtering for English labels. This query should run successfully and provide the individual goats that served as the mascot "Billygoat Hennes" for 1. FC Cologne, including their labels, images, start times, and end times (or current date if no end time is available).

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] Who are the individual goats that have served as the mascot "Billygoat Hennes" for 1. FC Cologne, including their labels, images (if available), start times, and end times (if available, otherwise use the current date)?

[Assistant]
To answer this question, I need to identify the individual goats that have served as the mascot "Billygoat Hennes" for the football club 1. FC Cologne. I will look for entities related to "Billygoat Hennes" and 1. FC Cologne, and then find the relevant properties such as labels, images, start times, and end times of their service as the mascot.

Step 1: Search for the entity "Billygoat Hennes" to find its Wikidata item.

[Tool]
Top 10 entity alternatives:
1. Billygoat Hennes, also known as Hennes (wd:Q151345): mascot of 1. FC Cologne
2. male goat, also known as billy goat, billygoat, he-goat (wd:Q2912137): goat of male gender
3. Hennes (wd:Q3130300): village in Hadsel, Norway
4. Hennes (wd:Q10521989): women's magazine published in Sweden
5. billygoat (wd:Q87737849): bronze billygoat from the deme of Kephissia, may have been made in Attica, 5th century BC
6. billygoat (wd:L1417568-S1)
7. Ageratum conyzoides, also known as Billygoat-weed, Chickweed, Goatweed, Whiteweed (wd:Q1949712): species of plant
8. Hennessey, also known as Hennessey, Oklahoma, Hennessey, OK (wd:Q2305381): town in Kingfisher County, Oklahoma, United States
9. Hennessy (wd:Q1229287): French brandy distillery
10. Hennes Weisweiler (wd:Q151105): German association football player and manager (1919–1983), association football manager, association football player, non-fiction writer

[Assistant]
I found the entity for "Billygoat Hennes" as the mascot of 1. FC Cologne with the Wikidata ID wd:Q151345. Next, I will look for the individual goats that have served as this mascot. These individuals might be linked as instances or parts of this mascot entity or related through some property indicating their role as the mascot.

I will now search for entities that are instances or parts of "Billygoat Hennes" or have a property linking them to this mascot role.

[Tool] Got no rows and 3 columns

[Assistant]
No entities are directly listed as instances of "Billygoat Hennes" (wd:Q151345). I will try to find entities related to 1. FC Cologne (the football club) that might be individual goats serving as mascots. I will search for entities related to 1. FC Cologne and check if any of them are linked to the mascot "Billygoat Hennes."

First, I will find the Wikidata entity for 1. FC Cologne.

[Tool]
Top 10 entity alternatives:
1. 1. FC Köln, also known as FCKoln, FC Köln, F.C. Köln, FC Koln, F.C. Koln (wd:Q104770): German football club based in Cologne, in North Rhine-Westphalia
2. 1. FC Köln II, also known as 1. FC Cologne II, 1. FC Köln U23, 1. Fußball-Club Köln 01/07 e. V. II, FC Köln II (wd:Q15972883): Reserve team of the German football club 1. FC Köln
3. Cologne FC, also known as Cologne United F.C, Cologne United Football club (wd:Q131363319): Ugandan association football club
4. Cologne 1877 (wd:Q124056548): 11th West German Chess Congress
5. COLOGNE (11232) (wd:Q127055053): hymn tune
6. 1986 Goldstar Cologne, also known as Cologne Grand Prix (wd:Q3683378): tennis tournament edition
7. Cologne Dombaufest 1848 (wd:Q116950393): celebrations from August 14th to 16th 1848 on the occasion of th... the laying of the foundation stone of Cologne Cathedral in 1248
8. 1978 Cologne Cup (wd:Q3683353): tennis tournament edition
9. 1979 European Indoor Championships, also known as 1979 Cologne Grand Prix, 1979 Cologne Open (wd:Q3683357): tennis tournament edition
10. 1976 Cologne Cup (wd:Q3683347): tennis tournament edition

[Assistant]
The Wikidata entity for 1. FC Cologne is wd:Q104770. Now I will search for entities related to this football club that might be individual goats serving as the mascot "Billygoat Hennes." I will look for entities that have a property linking them to 1. FC Cologne and possibly to the mascot role or name "Hennes."

I will search for entities related to 1. FC Cologne with the name or label containing "Hennes" or "Billygoat."

[Tool]
Top 10 entity alternatives:
1. Hennes (wd:Q3130300): village in Hadsel, Norway
2. Billygoat Hennes, also known as Hennes (wd:Q151345): mascot of 1. FC Cologne
3. Hennes (wd:Q10521989): women's magazine published in Sweden
4. Hennessey, also known as Hennessey, Oklahoma, Hennessey, OK (wd:Q2305381): town in Kingfisher County, Oklahoma, United States
5. Hennessy (wd:Q1229287): French brandy distillery
6. Hennes Weisweiler (wd:Q151105): German association football player and manager (1919–1983), association football manager, association football player, non-fiction writer
7. Hennes Junkermann, also known as Hans Junkermann (wd:Q65890): German racing cyclist (1934–2022), sport cyclist
8. Hans Jäcker, also known as Johannes Jäcker, Hennes Jäcker (wd:Q1697802): German association football player and manager (1932-2013), association football manager, association football player, politician
9. 154378 Hennessy, also known as Hennessy (wd:Q3597544): asteroid
10. Hennesteck (wd:Q1281005): mountain in the Türnitz Alps in Lower Austria

[Assistant]
The search for "Hennes" mostly returns unrelated entities except for the mascot "Billygoat Hennes" (wd:Q151345). To find individual goats that served as this mascot, I will try to find entities that have a property linking them to the mascot "Billygoat Hennes" or to 1. FC Cologne and have a label or description indicating they are individual goats or mascots.

I will try to find entities that have a property "mascot of" or similar linking them to 1. FC Cologne (wd:Q104770). I will search for properties related to "mascot" to find the correct property to use.

[Tool]
Top 10 property alternatives:
1. mascot (wd:P822 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): mascot of an organization, e.g. a sports team or university
2. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): informal name (for a pseudonym use P742), name
3. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
4. animal breed, also known as breed, sheep breed, horse breed, goat breed, duck breed (wd:P4743 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): subject item belongs to a specific group of domestic animals, generally given by association
5. character type, also known as -dere, stock character, stereotype, dere, character stereotype (wd:P9071 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): generic character type that this fictional character represents, manifestation of
6. icon, also known as pictogram, symbol (wd:P2910 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): pictogram suitable to represent the item. For logos of a subject...go image" (P154); for favicons, use "small logo or icon" (P8972), image
7. has pet, also known as pet, keeps pet, owns pet (wd:P1429 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): pet that a person owns
8. character designer, also known as character modeler, designed by, character designed by (wd:P8670 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): person in charge of developing the style and concept of a character in a video game, anime or other creative work, significant person
9. small logo or icon, also known as favicon, small icon, logo icon, icon logo (wd:P8972 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): logo or icon that represents the item and can be rendered at sizes as small as 16×16 pixels, image
10. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as ps/psn/wdtn/pr/prv/pqn/p/psv/pq/prn/pqv/wdt): educational institution attended by subject, affiliation

[Assistant] The property "mascot" (wdt:P822) is used to indicate the mascot of an organization. I will now search for entities that have the property "mascot" (wdt:P822) with the object being 1. FC Cologne (wd:Q104770). This might help find individual goats that served as the mascot for the club.

[Tool] Got no rows and 3 columns

[Assistant]
No entities are directly linked to 1. FC Cologne (wd:Q104770) with the property "mascot" (wdt:P822). I will try another approach: I will look for entities that have the label or description containing "Hennes" and check if they have a property linking them to 1. FC Cologne or the mascot role.

I will search for entities with the label containing "Hennes" and filter those related to 1. FC Cologne.

[Tool]
Top 10 entity alternatives:
1. Hennes (wd:Q3130300): village in Hadsel, Norway
2. Billygoat Hennes, also known as Hennes (wd:Q151345): mascot of 1. FC Cologne
3. Hennes (wd:Q10521989): women's magazine published in Sweden
4. Hennessey, also known as Hennessey, Oklahoma, Hennessey, OK (wd:Q2305381): town in Kingfisher County, Oklahoma, United States
5. Hennessy (wd:Q1229287): French brandy distillery
6. Hennes Weisweiler (wd:Q151105): German association football player and manager (1919–1983), association football manager, association football player, non-fiction writer
7. Hennes Junkermann, also known as Hans Junkermann (wd:Q65890): German racing cyclist (1934–2022), sport cyclist
8. Hans Jäcker, also known as Johannes Jäcker, Hennes Jäcker (wd:Q1697802): German association football player and manager (1932-2013), association football manager, association football player, politician
9. 154378 Hennessy, also known as Hennessy (wd:Q3597544): asteroid
10. Hennesteck (wd:Q1281005): mountain in the Türnitz Alps in Lower Austria

[Assistant]
The search for "Hennes" mostly returns unrelated entities except for the mascot "Billygoat Hennes" (wd:Q151345). Since direct links to individual goats are not found, I will try to find statements or qualifiers related to "Billygoat Hennes" that might indicate individual goats, their start times, and end times.

I will list the statements for the entity "Billygoat Hennes" (wd:Q151345) to see if there are any qualifiers or related entities indicating individual goats and their service periods.

[Tool]
Got 74 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                               | object                                                                                |
| ----------------------------- | -------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
| Billygoat Hennes (wd:Q151345) | instance of (wdt:P31)                  | mascot character (wd:Q386208)                                                                                |
| Billygoat Hennes (wd:Q151345) | country (wdt:P17)                      | Germany (wd:Q183)                                                                                |
| Billygoat Hennes (wd:Q151345) | Commons category (wdt:P373)            | Hennes (mascot)                                                                                |
| Billygoat Hennes (wd:Q151345) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Gei%C3%9Fbock%20Hennes%20IX.%20im%20K%C3%B6lner%20Zoo-4116.jpg> |
| Billygoat Hennes (wd:Q151345) | inception (wdt:P571)                   | 1950-02-13T00:00:00Z (xsd:dateTime)                                                                                |
| Billygoat Hennes (wd:Q151345) | sport (wdt:P641)                       | association football (wd:Q2736)                                                                                |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161)                 | wd:Q117303631                                                                                |
| Billygoat Hennes (wd:Q151345) | named after (wdt:P138)                 | Hennes Weisweiler (wd:Q151105)                                                                                |
| Billygoat Hennes (wd:Q151345) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/122q9f_x>                                                                                |
| Billygoat Hennes (wd:Q151345) | wdt:P31279                             | mascot (wd:Q18670161)                                                                                |
| ...                           | ...                                    | ...                                                                                |

[Assistant]
The entity "Billygoat Hennes" (wd:Q151345) has a property "cast member" (wdt:P161) with the value wd:Q117303631. This might represent an individual goat that served as the mascot. I will check if there are more such "cast member" values for this entity to find all individual goats.

I will list all objects for the property "cast member" (wdt:P161) of "Billygoat Hennes" (wd:Q151345).

[Tool]
Got 9 rows and 3 columns:
| subject                       | property               | object        |
| ----------------------------- | ---------------------- | ------------- |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303631 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303721 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303807 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303856 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303876 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303880 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303888 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303903 |
| Billygoat Hennes (wd:Q151345) | cast member (wdt:P161) | wd:Q117303933 |

[Assistant]
There are 9 individual entities linked as "cast member" (wdt:P161) of "Billygoat Hennes" (wd:Q151345). These likely represent the individual goats that served as the mascot. I will now retrieve the labels, images, start times, and end times (if available) for these individual goats.

I will write a SPARQL query to get the label, image (wdt:P18), start time, and end time for each of these cast members. The start and end times might be represented by properties like "start time" (wdt:P580) and "end time" (wdt:P582) or qualifiers on the "cast member" property. If no end time is available, I will use the current date.

I will first check the properties and qualifiers for one of these cast members to identify the relevant properties for start and end times. I will check for the entity wd:Q117303631.

[Tool]
Got 28 rows and 3 columns, showing the first 10 rows below:
| subject       | property                     | object                                                                                |
| ------------- | ---------------------------- | ------------------------------------------------------------------------------------------------------------------- |
| wd:Q117303631 | instance of (wdt:P31)        | Bunte Deutsche Edelziege (wd:Q967997)                                                                               |
| wd:Q117303631 | sex or gender (wdt:P21)      | male organism (wd:Q44148)                                                                                |
| wd:Q117303631 | date of birth (wdt:P569)     | 2018-02-24T00:00:00Z (xsd:dateTime)                                                                                |
| wd:Q117303631 | Commons category (wdt:P373)  | Hennes IX.                                                                                |
| wd:Q117303631 | image (wdt:P18)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Gei%C3%9Fbock%20Hennes%20IX.%20im%20K%C3%B6lner%20Zoo-4124.jpg> |
| wd:Q117303631 | place of birth (wdt:P19)     | Ilse (wd:Q1659080)                                                                                |
| wd:Q117303631 | follows (wdt:P155)           | wd:Q117303721                                                                                |
| wd:Q117303631 | residence (wdt:P551)         | Cologne Zoological Garden (wd:Q529586)                                                                              |
| wd:Q117303631 | subject has role (wdt:P2868) | Billygoat Hennes (wd:Q151345)                                                                                |
| wd:Q117303631 | wdt:P31279                   | goat (wd:Q2934)                                                                                |
| ...           | ...                          | ...                                                                                |

[Assistant]
For the individual goat wd:Q117303631, I found the following relevant properties:
- label (to be retrieved)
- image (wdt:P18)
- date of birth (wdt:P569)
- subject has role (wdt:P2868) points to Billygoat Hennes (wd:Q151345)
- follows (wdt:P155) points to the previous goat (wd:Q117303721)

There is no explicit start or end time property, but the "follows" property might indicate the sequence of service. The date of birth might be used as a proxy for the start time. The end time might be inferred as the start time of the next goat or the current date if none exists.

I will now write a SPARQL query to get the label, image, date of birth, and the next goat in the sequence (using "follows") for all the cast members of Billygoat Hennes. This will help infer the start and end times.

[Tool]
Got 9 rows and 5 columns:
| goat          | goatLabel | image                                                                                | dob                                 | nextGoat      |
| ------------- | --------- | ------------------------------------------------------------------------------------------------------------------- | ----------------------------------- | ------------- |
| wd:Q117303856 |           |                                                                                |                                     | wd:Q117303876 |
| wd:Q117303903 |           |                                                                                | 1949-01-01T00:00:00Z (xsd:dateTime) |               |
| wd:Q117303721 |           | <http://commons.wikimedia.org/wiki/Special:FilePath/Einweihung%20Carola-Williams-Park%2035.jpg>                     | 2007-03-10T00:00:00Z (xsd:dateTime) | wd:Q117303807 |
| wd:Q117303807 |           | <http://commons.wikimedia.org/wiki/Special:FilePath/Fc%20hennes.jpg>                                                | 2007-03-10T00:00:00Z (xsd:dateTime) | wd:Q117303856 |
| wd:Q117303631 |           | <http://commons.wikimedia.org/wiki/Special:FilePath/Gei%C3%9Fbock%20Hennes%20IX.%20im%20K%C3%B6lner%20Zoo-4124.jpg> | 2018-02-24T00:00:00Z (xsd:dateTime) | wd:Q117303721 |
| wd:Q117303876 |           |                                                                                | _:bn703161                          | wd:Q117303880 |
| wd:Q117303933 |           |                                                                                | _:bn880786                          | wd:Q117303903 |
| wd:Q117303880 |           |                                                                                | _:bn902824                          | wd:Q117303888 |
| wd:Q117303888 |           |                                                                                | _:bn1169312                         | wd:Q117303903 |

[Assistant]
The query results show 9 individual goats that served as the mascot "Billygoat Hennes." Some have date of birth (dob) and images, while others have blank or unknown dates. The "nextGoat" property indicates the sequence of service, which can help infer the end time for each goat as the start time of the next goat. For goats without an end time, we can use the current date.

Next, I will retrieve the English labels for these goats to include in the final answer. I will also construct the final SPARQL query to return the goat, label, image, start time (dob), and end time (start time of the next goat or current date if none).

[Tool]
Got 10 rows and 5 columns:
| goat          | goatLabel | image                                                                                | dob                                 | endTime                                      |
| ------------- | --------- | ------------------------------------------------------------------------------------------------------------------- | ----------------------------------- | -------------------------------------------- |
| wd:Q117303856 |           |                                                                                |                                     | 2007-03-10T00:00:00Z (xsd:dateTime)          |
| wd:Q117303903 |           |                                                                                | 1949-01-01T00:00:00Z (xsd:dateTime) | _:bn1169312                                  |
| wd:Q117303903 |           |                                                                                | 1949-01-01T00:00:00Z (xsd:dateTime) | _:bn880786                                   |
| wd:Q117303721 |           | <http://commons.wikimedia.org/wiki/Special:FilePath/Einweihung%20Carola-Williams-Park%2035.jpg>                     | 2007-03-10T00:00:00Z (xsd:dateTime) | 2018-02-24T00:00:00Z (xsd:dateTime)          |
| wd:Q117303807 |           | <http://commons.wikimedia.org/wiki/Special:FilePath/Fc%20hennes.jpg>                                                | 2007-03-10T00:00:00Z (xsd:dateTime) | 2007-03-10T00:00:00Z (xsd:dateTime)          |
| wd:Q117303631 |           | <http://commons.wikimedia.org/wiki/Special:FilePath/Gei%C3%9Fbock%20Hennes%20IX.%20im%20K%C3%B6lner%20Zoo-4124.jpg> | 2018-02-24T00:00:00Z (xsd:dateTime) | 2025-04-27T23:30:57.775+02:00 (xsd:dateTime) |
| wd:Q117303876 |           |                                                                                | _:bn703161                          | 2025-04-27T23:30:57.775+02:00 (xsd:dateTime) |
| wd:Q117303933 |           |                                                                                | _:bn880786                          | 2025-04-27T23:30:57.775+02:00 (xsd:dateTime) |
| wd:Q117303880 |           |                                                                                | _:bn902824                          | _:bn703161                                   |
| wd:Q117303888 |           |                                                                                | _:bn1169312                         | _:bn902824                                   |

[Assistant]
The query results provide the individual goats that served as the mascot "Billygoat Hennes" for 1. FC Cologne, including their labels (though some are missing), images (if available), start times (date of birth), and end times (inferred from the start time of the next goat or the current date).

I will now finalize the SPARQL query to return these details with labels in English, images, start times, and end times. I will also include a human-readable label for the mascot entity.

Here is the final SPARQL query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct in retrieving the individual goats that served as the mascot "Billygoat Hennes" with their labels, images, start times, and end times. However, there are some issues to address:

1. The query uses the property wdt:P161 (cast member) on the mascot entity wd:Q151345, which is a bit unusual but may be correct if the mascot is modeled as a production with cast members. This should be verified.

2. The handling of end times is problematic. The query tries to find the next goat that follows the current goat using wdt:P155 (follows) but the direction is reversed. The property P155 means "follows" or "replaces" and is used on the successor to point to the predecessor. To find the successor of a goat, you need to find a goat where ?nextGoat wdt:P155 ?goat. This part is correct, but the binding of endTime uses COALESCE(?nextStartTime, NOW()), which is good, but the OPTIONAL pattern for ?nextStartTime is inside the OPTIONAL for ?nextGoat, which is fine.

3. The query returns some duplicate rows for the same goat with different end times (blank nodes). This suggests the query might be producing multiple solutions for the same goat due to multiple ?nextGoat or missing filters.

4. Some goats have missing labels and images, which is data completeness rather than query correctness.

5. The query uses NOW() for the current date, which is good.

Suggestions for improvement:
- Add DISTINCT to avoid duplicate rows.
- Consider using MIN(?nextStartTime) to get the earliest next start time if multiple successors exist.
- Add FILTERs to ensure ?nextStartTime is a valid date.
- Consider retrieving labels in multiple languages or fallback to any label if English is missing.

Overall, the answer is sensible but the SPARQL query can be refined to avoid duplicates and better handle end times.

[Assistant]
Thank you for the detailed feedback. I will refine the SPARQL query to address the issues:

1. Add DISTINCT to avoid duplicate rows.
2. Use MIN(?nextStartTime) to get the earliest next start time if multiple successors exist.
3. Add FILTER to ensure ?nextStartTime is a valid date.
4. Retrieve labels in English, and if missing, fallback to any label.

I will now construct the improved SPARQL query accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is invalid because the variable ?endTime is selected but not aggregated, and it is not included in the GROUP BY clause. This violates SPARQL aggregation rules. Also, the approach to get the end time using MIN(?nextStartTime) with BIND and COALESCE is not correctly implemented within the aggregation context. To fix this, you should use a subquery or a different aggregation strategy to correctly compute the end time for each goat. Additionally, the label retrieval can be improved by using OPTIONAL clauses with FILTERs for language preference without overwriting the same variable twice. Please revise the query to correctly aggregate and group variables and ensure it runs successfully to provide the requested information.

[Assistant]
Thank you for the feedback. I will revise the query to correctly handle aggregation and grouping by using a subquery to compute the earliest next start time (end time) for each goat. I will also improve the label retrieval by using a single OPTIONAL clause with a language preference filter.

I will now construct the corrected SPARQL query.

[Tool] Stopped generation process


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 ?mountain ?mountainLabel ?elevation WHERE {
  ?mountain wdt:P31 wd:Q8502 ; wdt:P2044 ?elevation ; wdt:P625 ?coordinate .
  FILTER ( ?elevation > 8000 ) FILTER NOT EXISTS {
    ?mountain wdt:P376 ?astronomicalBody .
    FILTER ( ?astronomicalBody != wd:Q2 )
  }
  OPTIONAL {
    ?mountain rdfs:label ?mountainLabel FILTER ( LANG( ?mountainLabel ) = "en" )
  }
}

Got 1,286 rows and 3 columns, showing the first 5 and last 5 rows below:
| mountain                       | mountainLabel        | elevation           |
| ------------------------------ | -------------------- | ------------------- |
| Riggs Peak (wd:Q104785258)     | Riggs Peak (en)      | 9307 (xsd:decimal)  |
| Point Lookout (wd:Q104875173)  | Point Lookout (en)   | 8428 (xsd:decimal)  |
| Shishapangma (wd:Q105124)      | Shishapangma (en)    | 8027 (xsd:decimal)  |
| Lhotse Shar (wd:Q11237699)     | Lhotse Shar (en)     | 8383 (xsd:decimal)  |
| White Cap Peak (wd:Q114000436) | White Cap Peak (en)  | 11899 (xsd:decimal) |
| ...                            | ...                  | ...                 |
| Francs Peak (wd:Q940908)       | Francs Peak (en)     | 13158 (xsd:decimal) |
| Crestone Needle (wd:Q945543)   | Crestone Needle (en) | 14203 (xsd:decimal) |
| Isanotski Peaks (wd:Q955807)   | Isanotski Peaks (en) | 8106 (xsd:decimal)  |
| Charleston Peak (wd:Q978970)   | Charleston Peak (en) | 11916 (xsd:decimal) |
| Charleston Peak (wd:Q978970)   | Charleston Peak (en) | 11916 (xsd:decimal) |

This revised query selects mountains with elevation above 8000 meters that have coordinate locations (indicating they are on Earth) and excludes those located on astronomical bodies other than Earth. This should better reflect the known mountains above 8000 meters on Earth.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

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

[Assistant]
Step 1: Identify the entity for "mountain" and the property for "elevation above sea level" in Wikidata. Also, identify the property for "located on astronomical body" to exclude such mountains.

I will start by searching for the entity "mountain" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. mountain, also known as mt., mtn., mountains, mount (wd:Q8502): large natural elevation of the Earth's surface
2. Mountain (wd:Q1255792): American band
3. Mountain, also known as Mountain, ND, Mountain, North Dakota (wd:Q2032181): city in North Dakota, USA
4. Mountain, also known as Town of Mountain (wd:Q1885759): civil town in Oconto County, Wisconsin
5. The Mountain, also known as Mountain (wd:Q910112): 1956 film by Edward Dmytryk
6. ☶, also known as U+2636, gèn, TRIGRAM FOR MOUNTAIN, mountain, immobility (wd:Q2068902): trigram for mountain (U+2636), immobility, or stability: gen4, gèn, ken
7. The Mountain, also known as Mountain (wd:Q1192451): 1991 film by Markus Imhoof
8. 4-8-2, also known as 241, 2D1, 4/7, Mohawk, Mountain (wd:Q1473477): locomotive wheel arrangement
9. Mountain (wd:Q13422857): human settlement in Wisconsin, United States of America
10. Mountain (wd:Q29293936): 2014 simulation video game

[Assistant]
The entity for "mountain" is wd:Q8502, which represents a large natural elevation of the Earth's surface.

Step 2: Identify the property for "elevation above sea level." I will search for properties related to "elevation" for the entity mountain (wd:Q8502).

[Tool]
Top 10 property alternatives:
1. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
4. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
5. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as p/wdt): when this subject is used as object of “instance of”, the following properties normally apply
6. icon, also known as pictogram, symbol (wd:P2910 as p/wdt): pictogram suitable to represent the item. For logos of a subject...go image" (P154); for favicons, use "small logo or icon" (P8972), image
7. said to be the same as, also known as may be, the same as, synonymous with, same as, same (wd:P460 as p/wdt): this item is said to be the same as that item, though this may be uncertain or disputed
8. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
9. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
10. Guardian topic ID, also known as Guardian, The Guardian topic, The Guardian topic ID (wd:P3106 as p/wdt): identifier for a topic at the Guardian newspaper website

No other items found

[Assistant] The search for properties related to "elevation" for the entity mountain (wd:Q8502) did not return a direct property for elevation above sea level. I will try a more general search for properties related to "elevation" in Wikidata.

[Tool]
Top 10 property alternatives:
1. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): height of the item (geographical object) as measured relative to sea level
2. highest point, also known as tallest point, zenith, summit, pinnacle, highest peak (wd:P610 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): point with highest elevation in a region or path, has part(s)
3. cumulative elevation gain (wd:P7297 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): measure of the difference in height between two points on the terrain, when following a track
4. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
5. maximum operating altitude, also known as ceiling, maximum altitude, service ceiling (wd:P2254 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): ceiling or maximum density altitude at which an aircraft can operate, elevation above sea level
6. clearance, also known as span height, height of deck bottom, bridge height, height above water, height above valley floor (wd:P2793 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): distance between surface under bridge and bottom of a bridge deck
7. time to altitude, also known as time to climb (wd:P2362 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time required by the subject to reach the specified altitude, from sea level
8. floors above ground, also known as floor count, stories, storeys, number of floors, levels above ground (wd:P1101 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): above ground floor count of a building (ground floor and attic included)
9. height, also known as heighth, size, depth over terrain (wd:P2048 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): vertical length of an entity, length
10. mount, also known as horse, steed (wd:P3091 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): creature ridden by the subject, for instance a horse

[Assistant]
The property for "elevation above sea level" is wd:P2044.

Step 3: Identify the property for "located on astronomical body" to exclude mountains located on any astronomical body. I will search for properties related to "located on" or "location" for the entity mountain (wd:Q8502).

[Tool]
Top 10 property alternatives:
1. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
4. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as p/wdt): when this subject is used as object of “instance of”, the following properties normally apply
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as p/wdt): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. studied in, also known as is studied by, studied by, science, that studies, researched in, researched by (wd:P2579 as p/wdt): subject is studied by this science or domain, field of work
9. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as p/wdt/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
10. topic's main Wikimedia portal, also known as main portal, portal (wd:P1151 as p/wdt): Wikimedia portal associated with this topic

No other items found

[Assistant] The search for properties related to "located on" for the entity mountain (wd:Q8502) did not return a direct property for location on an astronomical body. I will try a more general search for properties related to "location" or "located on" in Wikidata.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or organization occupying property, used by
5. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): studio or location where a musical composition/release was recorded, recording location
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
7. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): larger work that a given work was published in, like a book, journal or music album, part of
8. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
9. directions, also known as locality or place (wd:P2795 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): describe how to find the subject - directions, objects along way, comments
10. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group

[Assistant]
The property "location" (wd:P276) seems to be the most relevant for the location of an object. I will now check if there is a way to identify astronomical bodies in Wikidata to exclude mountains located on them.

Step 4: Search for the entity "astronomical body" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. astronomical object, also known as astronomical bodies, astronomical body, astronomical objects, celestial bodies, celestial body (wd:Q6999): physical body of astronomically-significant size, mass, or role, naturally occurring in a universe
2. astronomical body part, also known as part of an astronomical body (wd:Q115385384): ontology term in the ENVO ontology
3. child astronomical body, also known as child body, has moon, has planet, orbited by, satellite (wd:P398): minor body that belongs to the item
4. located on astronomical body, also known as on astronomical body, on astronomical location (wd:P376): single astronomical body on which features or places are situated
5. parent astronomical body, also known as planetary system, star, primary, parent body, orbits (wd:P397): major astronomical body the item belongs to
6. of an astronomical body (wd:L468907-S1)
7. of an astronomical body (wd:L461762-S1)
8. astronomical body exhibiting fusion reactions (wd:L82671-S2)
9. astronomical event where one body hides another (wd:L18674-S1)
10. astronomical event where one body hides another (wd:L30560-S1)

[Assistant]
The entity for "astronomical object" or "astronomical body" is wd:Q6999. There is also a property "located on astronomical body" (wd:P376) which is relevant for our exclusion criteria.

Step 5: Formulate a SPARQL query to find mountains (wd:Q8502) with elevation above sea level (wdt:P2044) greater than 8000 meters, excluding those that have a "located on astronomical body" (wd:P376) property.

I will now write the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly selects mountains with elevation above 8000 meters and excludes those located on any astronomical body. However, the execution result shows many mountains with elevations that are not consistent with known mountains above 8000 meters (e.g., Francs Peak at 13158 meters, which is incorrect). This suggests that the elevation values might be in different units or the data might include erroneous entries. Additionally, the query excludes mountains located on astronomical bodies using the property wdt:P376, but this property is not commonly used for this purpose; a better approach might be to check the location or coordinate location to ensure the mountain is on Earth. Also, the query returns a large number of results (1155), which is much more than the known number of mountains above 8000 meters (which is around 14). It would be better to refine the query to ensure only Earth mountains are included, for example by filtering for location on Earth (wd:Q2). Finally, the query returns labels optionally, which is good, but the main issue is the correctness of the data retrieved. I recommend refining the query to filter mountains located on Earth and verifying elevation units.

[Assistant]
Thank you for the feedback. To refine the query, I will:

1. Ensure the mountains are located on Earth (wd:Q2) by checking the location (wdt:P276) or coordinate location (wdt:P625) properties.
2. Verify that the elevation values are in meters. Usually, elevation above sea level (wdt:P2044) is in meters, but I will confirm this by checking the unit.
3. Limit the results to mountains that are instances of mountain (wd:Q8502) and have elevation above 8000 meters.
4. Keep the optional label for readability.

I will now update the SPARQL query accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query attempts to find mountains located on Earth using the property wdt:P276 (location) with value wd:Q2 (Earth). However, the property wdt:P276 is typically used for locations such as cities, countries, or administrative regions, and may not be appropriate for specifying the planet on which a mountain is located. Instead, the property wdt:P17 (country) or wdt:P131 (located in the administrative territorial entity) might be used, but these refer to political entities rather than the planet. To exclude mountains on other astronomical bodies, it is better to ensure the mountain is on Earth by checking the property wdt:P625 (coordinate location) and filtering coordinates within Earth's range, or by checking the property wdt:P276 or wdt:P131 for Earth or its subdivisions. Alternatively, the property wdt:P706 (located on terrain feature) might be relevant. Also, the query uses wdt:P276 wd:Q2, which is unlikely to be present as direct location on Earth. The query returns no results likely because of this. I suggest revising the query to find mountains (wdt:P31 wd:Q8502) with elevation above 8000 meters (wdt:P2044), and then excluding those located on astronomical bodies other than Earth by checking the property wdt:P17 (country) or using a more appropriate property or approach to ensure the mountain is on Earth. Also, consider that the property wdt:P2044 (elevation above sea level) is in meters, so the filter is correct. Please revise the query accordingly.

[Assistant]
Thank you for the detailed feedback. To address the issue:

1. Instead of using wdt:P276 (location) with wd:Q2 (Earth), I will check for the presence of coordinate location (wdt:P625) which indicates the mountain has geographic coordinates on Earth.
2. I will also exclude mountains that have a "located on astronomical body" (wdt:P376) property with a value other than Earth (wd:Q2).
3. I will keep the elevation filter above 8000 meters.
4. I will keep the optional label for readability.

I will now revise the SPARQL query accordingly.

[Tool] Stopped generation process


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:P641 wd:Q847 ; wdt:P2094 wd:Q16893072 ; wdt:P361 ?tournament .
  OPTIONAL {
    ?event wdt:P1346 ?winner .
  }
  FILTER ( ! BOUND( ?winner ) ) ?tournament wdt:P361 ?circuit .
  VALUES ?circuit {
    wd:Q300008 wd:Q3775082
  }
  ?event rdfs:label ?eventLabel FILTER ( LANG( ?eventLabel ) = "en" ) ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
}
LIMIT 100

The SPARQL query finds 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. The query returns the event and tournament identifiers along with their English labels.

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

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

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

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

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

[User] What are the 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]
To answer this question, I need to identify men's singles tennis events that meet the following criteria:
1. The event is a men's singles tennis event.
2. The event does not have a winner indicated.
3. The event is part of a tournament.
4. The tournament belongs to either the ATP Tour or the Grand Prix tennis circuit.

Step 1: Identify the entity for "men's singles tennis event."
Step 2: Identify the property that indicates the winner of an event.
Step 3: Identify the property that links an event to a tournament.
Step 4: Identify the entities for "ATP Tour" and "Grand Prix tennis circuit."
Step 5: Identify the property that links a tournament to a tennis circuit.
Step 6: Construct a SPARQL query to find men's singles tennis events without a winner, part of tournaments belonging to either the ATP Tour or the Grand Prix tennis circuit.

I will start by searching for the entity "men's singles tennis event."

[Tool]
Top 10 entity alternatives:
1. men's singles, also known as men's singles in tennis (wd:Q16893072): discipline in tennis
2. wheelchair tennis men's singles, also known as wheelchair men's singles (wd:Q50211922): competition class in wheelchair tennis
3. all-time tennis records – men's singles, also known as all-time tennis records - men's singles, overall tennis records – men's singles, overall tennis records - men's singles (wd:Q17016846): all-time records and statistics of the men's singles in Tennis
4. 2011 Dubai Tennis Championships – men's singles (wd:Q1822061): 2011 tennis event results
5. 2013 Sony Open Tennis – men's singles (wd:Q7724928): 2013 tennis event results
6. 2022 Dubai Tennis Championships – men's singles (wd:Q110953898): 2022 tennis event results
7. 2013 Dubai Tennis Championships – men's singles (wd:Q15260597): 2013 tennis event results
8. 2023 Dubai Tennis Championships – Men's singles (wd:Q116897745): 2023 tennis event results
9. 2014 Sony Open Tennis – men's singles (wd:Q15930160): 2014 tennis event results
10. 2014 Dubai Tennis Championships – men's singles (wd:Q15796942): 2014 tennis event results

[Assistant]
The entity "men's singles" as a discipline in tennis is wd:Q16893072. However, this represents the discipline, not the individual events. The other results are specific men's singles tennis events for particular years and tournaments (e.g., 2011 Dubai Tennis Championships – men's singles).

Since the question asks for men's singles tennis events, I should look for tennis events that are men's singles events. These events are likely instances of tennis tournament events with a discipline or category of men's singles.

Next, I will search for the property that indicates the winner of an event. This will help me filter events without a winner.

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
2. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): competition or sports event won by the subject, participant in
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): award or recognition received by a person, organization or creative work
4. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of sporting matches, games or events won
5. results, also known as output, result (wd:P2501 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): results of a competition such as sports or elections
6. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): effect of this item, followed by
7. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or organization who grants an award, certification, grant, or role
8. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): underlying cause, entity that ultimately resulted in this effect, follows
9. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): significant or notable events associated with the subject
10. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person(s) or political organization(s) elected after the election, candidate, winner

[Assistant]
The property "winner" (wdt:P1346) is used to indicate the winner of a competition or similar event. This property is suitable for identifying the winner of a tennis event.

Next, I will identify the property that links an event to a tournament. Then, I will identify the entities for "ATP Tour" and "Grand Prix tennis circuit" and the property that links a tournament to a tennis circuit.

[Tool]
Top 10 property alternatives:
1. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
2. tournament format, also known as tournament system (wd:P8127 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): format of a sports tournament
3. tournament type (wd:P11964 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): significance or status of a sports competition for a league, tour, association, etc.
4. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): discipline an athlete competed in within a sport, field of work
5. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
6. sports competition competed at (wd:P5249 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): edition of sports competitions at which the club or team that pl...ple: 2012–13 FC Barcelona season → 2012–13 UEFA Champions League
7. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
8. prize money, also known as money, purse, value (wd:P2121 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): amount in a specific currency
9. OnsOranje tournament ID (wd:P5162 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a tournament in the database of OnsOranje
10. competition won, also known as won event, won, winner of, victory (wd:P2522 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): competition or sports event won by the subject, participant in

[Assistant]
The property "league or competition" (wdt:P118) is used to indicate the league or competition in which a team or player has played or in which an event occurs. This property can be used to link an event to a tournament or competition.

Next, I will search for the entities "ATP Tour" and "Grand Prix tennis circuit."

[Tool]
Top 10 entity alternatives:
1. ATP Tour, also known as ATP World Tour (wd:Q300008): series of men's tennis tournaments
2. ATP World Tour 250 series, also known as ATP World Tour 250, International Series Tournaments, International Series tennis tournaments, International Series events, ATP World Series (wd:Q300017): tennis tournament category
3. ATP Tour Awards (wd:Q434468): ATP tennis awards for men
4. ATP Challenger Tour, also known as Tretorn SERIE+, Tretorn Serie+, Challenger tournaments, Challenger tournament, Challenger tennis tournaments (wd:Q299345): international men's tennis tournaments
5. 2010 ATP World Tour, also known as 2010 atp tour (wd:Q300012): tennis circuit
6. 2011 ATP World Tour, also known as 2011 atp tour (wd:Q300013): men's tennis circuit
7. 2023 ATP Tour (wd:Q111441127): men's tennis circuit
8. 2022 ATP Tour (wd:Q109743038): men's tennis circuit
9. 2009 ATP World Tour, also known as Tennis 2009 Calendare ATP ITF, 2009 ATP Tour, Juego 2000 Calendar, 2009 atp tour, ATP Tour 2009 (wd:Q300011): tennis circuit
10. 2024 ATP Tour (wd:Q117284577): men's tennis circuit

[Tool]
Top 10 entity alternatives:
1. Grand Prix tennis circuit (wd:Q3775082): professional tennis tour
2. Grand Prix Circuit (wd:Q2444507): 1988 video game
3. Grand Prix Tennis (wd:Q30896069)
4. Albert Park Circuit, also known as Melbourne Grand Prix Circuit, Australian Grand Prix Circuit (wd:Q171288): street circuit in Melbourne, Victoria, Australia
5. Kyalami, also known as Kyalami Grand Prix Circuit (wd:Q171667): Race track in South Africa
6. Porsche Tennis Grand Prix (wd:Q311783): women's tennis tournament at Stuttgart, Germany
7. Dallas Grand Prix Circuit (wd:Q16040264): Formula One circuit in Dallas, Texas
8. Madrid Tennis Grand Prix (wd:Q299532): defunct men's tennis tournament at Madrid, Spain
9. 1970 Grand Prix circuit (wd:Q3465182): tennis circuit
10. 1989 Grand Prix circuit (wd:Q3465367): tennis circuit edition

[Assistant]
The entity for "ATP Tour" is wd:Q300008, which represents a series of men's tennis tournaments.
The entity for "Grand Prix tennis circuit" is wd:Q3775082, which represents a professional tennis tour.

Next, I will identify the property that links a tournament to a tennis circuit. I will search for properties related to "tennis circuit" or "part of circuit" for tournaments.

[Tool]
Top 10 property alternatives:
1. ATP tennis tournament ID (wd:P3456 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): tournament made for atp tennis players
2. ATP player ID, also known as ATP ID, ATP identifier, ATP player identifier (wd:P536 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): ATP tennis male player identifier
3. Tennis Abstract player ID, also known as tennisabstract.com player ID, tennisabstract.com player identifier, Tennis Abstract player identifier (wd:P10028 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a player at tennisabstract.com
4. ITF player ID 2020, also known as International Tennis Federation player ID 2020, ITF player identifier 2020, International Tennis Federation player identifier 2020 (wd:P8618 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a tennis player at the International Tennis Federation (ITF) website as of 2020
5. ITF tournament ID (wd:P6841 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a tennis tournament edition in the International Tennis Federation database
6. Tennis Archives player ID, also known as tennisarchives.com player ID, tennisarchives.com player identifier, Tennis Archives player identifier (wd:P3670 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): ID of a tennis player at the Tennis Archives
7. Wimbledon player ID (wd:P4503 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a tennis player on the Wimbledon website, in the archive section
8. Tennis Temple player ID, also known as tennistemple.com player ID, tennistemple.com player identifier, Tennis Temple player identifier (wd:P4544 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a player on the Tennis Temple website
9. WTA tennis tournament ID (wd:P3469 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for tennis tournaments in the database of the Women’s Tennis Association
10. won sets (wd:P11081 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of sets won

[Tool]
Top 10 property alternatives:
1. connecting line, also known as is on, railway line, rail line connected to, line connected to (wd:P81 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): railway line(s) subject is directly connected to, part of
2. schematic, also known as schematic diagram, line drawing, diagram (wd:P5555 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): illustration of the structure or operation of an object, system, or process, image
3. depicted part, also known as part depicted, part shown, shown part (wd:P5961 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): use as qualifier for "depicts" (P180)
4. source of energy, also known as power source, source of power, nutrient, fuel type, energy source (wd:P618 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): describes the source of energy an animated object (machine or animal) uses, uses
5. avionics, also known as sensors, electronics (wd:P878 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): notable sensors, electronics, and other avionics installed in the subject aircraft, has facility
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. superhuman feature or ability, also known as has superpower, magic, magic ability, magical ability, supernatural abilities (wd:P2563 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): superhuman, supernatural, or paranormal abilities that the fictional subject exhibits, uses
8. carries scientific instrument, also known as metering equipment, scientific equipment (wd:P1202 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): scientific instruments carried by a vessel, satellite, or device that are not required for propelling or navigating, has facility
9. railway signalling system, also known as signalling system, signalling type, type of signalling (wd:P3019 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): type of signalling used on this railway line
10. powered by, also known as propulsion, prime mover, power source, powerplant, drive (wd:P516 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): equipment or engine used by the subject to convert a source or energy into mechanical energy, has part(s)

[Tool]
Top 10 property alternatives:
1. ground level 360 degree view URL, also known as Mapillary, virtual tour URL, tour URL, street view URL, Mapy.CZ (wd:P5282 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): URL to access a service that allows to visually navigate through images at ground level in the proximity of the item, URL
2. retrieved, also known as reference date, retrieved at, retrieved date, time of retrieval, consulted (wd:P813 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date or point in time that information was retrieved from a database or website (for use in online sources), point in time
3. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): things, places this place offers views on
4. visited by, also known as organisms attracted, wildlife visitors, wildlife attracted, wildlife associations, wildlife association (wd:P11801 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): organisms attracted by this plant taxon and reported to visit it
5. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of passengers, patrons or visitors in specified time period
6. route map, also known as schema, street map, railway map, subway map, transit map (wd:P15 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): image of route map at Wikimedia Commons, locator map image
7. bases on balls, also known as BB, walks total, walks career total, walks, number of walks (wd:P9188 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): number of walks in a baseball career or game(s)
8. Legends Tour player ID, also known as Legends Tour ID, LT ID (wd:P12283 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a golf player on the Legends Tour
9. via, also known as waystation, journey via, route via, routing point, stopover (wd:P2825 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): intermediate point on a journey - stopover location, waystation or routing point, location
10. Tourer.it ID (wd:P4133 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a cultural heritage site in Emilia-Romagna region in Italy, in the Tourer.it open data portal

[Assistant]
The property "league or competition" (wdt:P118) can be used to link an event to a tournament or competition. This property can also be used to link a tournament to a tennis circuit such as the ATP Tour or the Grand Prix tennis circuit.

Now, I will construct a SPARQL query to find 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. I will use the following:
- Men's singles tennis event as an instance of tennis tournament event with the discipline men's singles (wd:Q16893072).
- Property wdt:P1346 for winner.
- Property wdt:P118 for linking event to tournament and tournament to tennis circuit.
- Entities wd:Q300008 (ATP Tour) and wd:Q3775082 (Grand Prix tennis circuit).

I will write the query now.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 219 for token . with content '.' (the input most likely does not follow the grammar)

[Assistant]
There is a syntax error in the SPARQL query. The triple pattern with wdt:P1346 ?winner is incorrectly written with OPTIONAL. Also, the property for discipline might be incorrect. I will correct the query by using OPTIONAL { ?event wdt:P1346 ?winner } and check the correct property for discipline or category of the event. I will also verify the instance of men's singles tennis event.

I will first check the properties of a known men's singles tennis event to find the correct property for the category or discipline.

[Tool]
Got 63 rows and 3 columns, showing the first 10 rows below:
| subject                                                       | property                           | object                                              |
| ------------------------------------------------------------- | ---------------------------------- | --------------------------------------------------- |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | instance of (wdt:P31)              | tennis event (wd:Q46190676)                         |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | part of (wdt:P361)                 | 2011 Dubai Tennis Championships (men) (wd:Q2677840) |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | sport (wdt:P641)                   | tennis (wd:Q847)                                    |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | point in time (wdt:P585)           | 2011-01-01T00:00:00Z (xsd:dateTime)                 |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | number of participants (wdt:P1132) | 32 (xsd:decimal)                                    |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | winner (wdt:P1346)                 | Novak Djokovic (wd:Q5812)                           |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | competition class (wdt:P2094)      | men's singles (wd:Q16893072)                        |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | Freebase ID (wdt:P646)             | /m/0gg7zrl                                          |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | wdt:P31279                         | tennis tournament (wd:Q13219666)                    |
| 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) | schema:description                 | 2011 tennis event results (en)                      |
| ...                                                           | ...                                | ...                                                 |

[Assistant]
The property "competition class" (wdt:P2094) links the event to the category "men's singles" (wd:Q16893072).
The property "part of" (wdt:P361) links the event to the tournament.
The property "winner" (wdt:P1346) indicates the winner of the event.

Now, I will check the property that links the tournament to the ATP Tour or Grand Prix tennis circuit. I will check the properties of the tournament "2011 Dubai Tennis Championships (men)" (wd:Q2677840).

[Tool]
Got 62 rows and 3 columns, showing the first 10 rows below:
| subject                                             | property                  | object                                                        |
| --------------------------------------------------- | ------------------------- | ------------------------------------------------------------- |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | instance of (wdt:P31)     | ATP Dubai Tennis Championships (wd:Q16465941)                 |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | part of (wdt:P361)        | ATP World Tour 500 series (wd:Q300018)                        |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | has part(s) (wdt:P527)    | 2011 Dubai Tennis Championships – men's singles (wd:Q1822061) |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | sport (wdt:P641)          | tennis (wd:Q847)                                              |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | follows (wdt:P155)        | 2010 Dubai Tennis Championships (men) (wd:Q807960)            |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | followed by (wdt:P156)    | 2012 Dubai Tennis Championships (men) (wd:Q14696033)          |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | point in time (wdt:P585)  | 2011-01-01T00:00:00Z (xsd:dateTime)                           |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | start time (wdt:P580)     | 2011-02-21T00:00:00Z (xsd:dateTime)                           |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | end time (wdt:P582)       | 2011-02-26T00:00:00Z (xsd:dateTime)                           |
| 2011 Dubai Tennis Championships (men) (wd:Q2677840) | edition number (wdt:P393) | 19                                                            |
| ...                                                 | ...                       | ...                                                           |

[Assistant]
The tournament "2011 Dubai Tennis Championships (men)" (wd:Q2677840) is part of "ATP World Tour 500 series" (wd:Q300018) using the property "part of" (wdt:P361).

I will check if "ATP World Tour 500 series" (wd:Q300018) is part of the ATP Tour (wd:Q300008) or Grand Prix tennis circuit (wd:Q3775082).

[Tool]
Got 196 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                          | object                                            |
| -------------------------------------- | --------------------------------- | ------------------------------------------------- |
| ATP World Tour 500 series (wd:Q300018) | instance of (wdt:P31)             | tennis tour with multiple editions (wd:Q50301185) |
| ATP World Tour 500 series (wd:Q300018) | Commons category (wdt:P373)       | ATP Tour 500                                      |
| ATP World Tour 500 series (wd:Q300018) | part of (wdt:P361)                | ATP Tour (wd:Q300008)                             |
| ATP World Tour 500 series (wd:Q300018) | subclass of (wdt:P279)            | tennis tour (wd:Q7700500)                         |
| ATP World Tour 500 series (wd:Q300018) | inception (wdt:P571)              | 2009-01-01T00:00:00Z (xsd:dateTime)               |
| ATP World Tour 500 series (wd:Q300018) | has part(s) (wdt:P527)            | 2022 Erste Bank Open (wd:Q114609814)              |
| ATP World Tour 500 series (wd:Q300018) | sport (wdt:P641)                  | tennis (wd:Q847)                                  |
| ATP World Tour 500 series (wd:Q300018) | topic's main category (wdt:P910)  | wd:Q8983749                                       |
| ATP World Tour 500 series (wd:Q300018) | replaces (wdt:P1365)              | ATP International Series Gold (wd:Q2478155)       |
| ATP World Tour 500 series (wd:Q300018) | topic's main template (wdt:P1424) | wd:Q6666175                                       |
| ...                                    | ...                               | ...                                               |

[Assistant]
The "ATP World Tour 500 series" (wd:Q300018) is part of the "ATP Tour" (wd:Q300008) using the property "part of" (wdt:P361).

So the property "part of" (wdt:P361) can be used to link the tournament to the tennis circuit (ATP Tour or Grand Prix tennis circuit).

I will now construct the corrected SPARQL query:
- Events that are instance of tennis event (wd:Q46190676).
- Events with sport tennis (wd:Q847).
- Events with competition class men's singles (wd:Q16893072).
- Events without winner (wdt:P1346).
- Events part of a tournament (wdt:P361).
- Tournament part of ATP Tour (wd:Q300008) or Grand Prix tennis circuit (wd:Q3775082) (wdt:P361).

I will write the query now.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly targets men's singles tennis events without a winner and filters tournaments that belong to either the ATP Tour or the Grand Prix tennis circuit. It uses appropriate properties and entities, and includes labels for readability. The query also correctly applies the FILTER to exclude events with a winner. The fact that the query returned no results is plausible, as it may be that currently no such events without winners exist in the knowledge graph. Therefore, the output is correct and complete as is.