Triple
T13869302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deinze |
E333407
|
entity |
| Predicate | sportsTeam |
P330
|
FINISHED |
| Object |
K.M.S.K. Deinze
K.M.S.K. Deinze is a Belgian football club based in the city of Deinze that competes in the national league system.
|
E1066323
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: K.M.S.K. Deinze | Statement: [Deinze, sportsTeam, K.M.S.K. Deinze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K.M.S.K. Deinze Context triple: [Deinze, sportsTeam, K.M.S.K. Deinze]
-
A.
K.A.S. Eupen
K.A.S. Eupen is a professional Belgian football club based in the city of Eupen that competes in the country’s top leagues.
-
B.
K.S.V. Waregem
K.S.V. Waregem was a Belgian football club known for its historic presence in the top tier and participation in European competitions before its merger into S.V. Zulte Waregem.
-
C.
KV Kortrijk
KV Kortrijk is a Belgian professional football club based in the city of Kortrijk that competes in the country’s top leagues.
-
D.
KRC Hasselt
KRC Hasselt is a Belgian football club based in the city of Hasselt.
-
E.
MSK Gent
MSK Gent is a prominent art museum in Ghent, Belgium, renowned for its extensive collection of Flemish and European fine arts spanning the Middle Ages to the 20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: K.M.S.K. Deinze Triple: [Deinze, sportsTeam, K.M.S.K. Deinze]
Generated description
K.M.S.K. Deinze is a Belgian football club based in the city of Deinze that competes in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K.M.S.K. Deinze Target entity description: K.M.S.K. Deinze is a Belgian football club based in the city of Deinze that competes in the national league system.
-
A.
K.A.S. Eupen
K.A.S. Eupen is a professional Belgian football club based in the city of Eupen that competes in the country’s top leagues.
-
B.
K.S.V. Waregem
K.S.V. Waregem was a Belgian football club known for its historic presence in the top tier and participation in European competitions before its merger into S.V. Zulte Waregem.
-
C.
KV Kortrijk
KV Kortrijk is a Belgian professional football club based in the city of Kortrijk that competes in the country’s top leagues.
-
D.
KRC Hasselt
KRC Hasselt is a Belgian football club based in the city of Hasselt.
-
E.
MSK Gent
MSK Gent is a prominent art museum in Ghent, Belgium, renowned for its extensive collection of Flemish and European fine arts spanning the Middle Ages to the 20th century.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c105da548190b908a54fec029236 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e7efd88190ac07472647da69e7 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.