Triple

T13117747
Position Surface form Disambiguated ID Type / Status
Subject Diego Lugano E311138 entity
Predicate club P8194 FINISHED
Object BK Häcken E437723 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: BK Häcken | Statement: [Diego Lugano, club, BK Häcken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BK Häcken
Context triple: [Diego Lugano, club, BK Häcken]
  • A. BK Häcken chosen
    BK Häcken is a Swedish professional football club from Gothenburg, known for competing in Allsvenskan and for its strong youth development and recent domestic success.
  • B. Hammarby IF
    Hammarby IF is a Swedish sports club from Stockholm best known for its passionate fan base and prominent football team competing in the country’s top divisions.
  • C. Kalmar FF
    Kalmar FF is a professional Swedish football club based in the city of Kalmar that competes in the country’s top leagues and national competitions.
  • D. Östersunds FK
    Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
  • E. IFK Norrköping
    IFK Norrköping is a Swedish professional football club based in Norrköping that competes in the country’s top leagues and has a rich domestic history.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.