Triple

T23470861
Position Surface form Disambiguated ID Type / Status
Subject Bryan Ruiz E570122 entity
Predicate memberOfSportsTeam P330 FINISHED
Object K.A.A. Gent NE NERFINISHED

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: K.A.A. Gent | Statement: [Bryan Ruiz, memberOfSportsTeam, K.A.A. Gent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K.A.A. Gent
Context triple: [Bryan Ruiz, memberOfSportsTeam, K.A.A. Gent]
  • A. KAA Gent chosen
    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.
  • B. 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.
  • C. Zulte
    Zulte is a municipality in the Belgian province of East Flanders.
  • D. 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.
  • E. KRC Genk
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6ff8dc0819086961b1f07030d9c completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:55 p.m.