Triple

T1623279
Position Surface form Disambiguated ID Type / Status
Subject Kevin De Bruyne E35080 entity
Predicate memberOfSportsTeam P330 FINISHED
Object KRC Genk E186365 NE FINISHED

How this triple was built (2 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: KRC Genk | Statement: [Kevin De Bruyne, memberOfSportsTeam, KRC Genk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KRC Genk
Context triple: [Kevin De Bruyne, memberOfSportsTeam, KRC Genk]
  • A. KRC Genk chosen
    KRC Genk is a Belgian professional football club known for developing top talents, including Kevin De Bruyne, and competing in the country’s top division.
  • B. Royal Antwerp F.C.
    Royal Antwerp F.C. is a historic Belgian professional football club based in Antwerp and one of the oldest clubs in the country.
  • C. KAA Gent
    KAA Gent is a Belgian professional football club based in Ghent, known for competing in the country’s top division and developing notable players such as Kevin De Bruyne.
  • D. PSV Eindhoven
    PSV Eindhoven is a major Dutch professional football club based in Eindhoven, renowned as one of the Netherlands' "big three" teams and a regular competitor in European competitions.
  • E. Twente
    Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909cf3c7481909ddbe6a6596bb0c8 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6810e09c81909a214d16d865646a completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:28 p.m.