Triple

T23399377
Position Surface form Disambiguated ID Type / Status
Subject KIF Örebro DFF E559456 entity
Predicate hasAbbreviation P43 FINISHED
Object KIF Örebro 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: KIF Örebro | Statement: [KIF Örebro DFF, hasAbbreviation, KIF Örebro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIF Örebro
Context triple: [KIF Örebro DFF, hasAbbreviation, KIF Örebro]
  • A. KIF Örebro DFF chosen
    KIF Örebro DFF is a Swedish women's football club known for competing in the top tiers of national competition and for having been led by renowned coach Pia Sundhage.
  • B. Örebro SK
    Örebro SK is a Swedish professional sports club best known for its football team, which competes in the national league system.
  • C. Örebro HK
    Örebro HK is a professional Swedish ice hockey club based in Örebro that competes in the country’s top-tier league, the SHL.
  • D. Östers IF
    Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
  • E. Norrby IF
    Norrby IF is a Swedish football club based in Borås, known for competing in the national league system and representing one of the city's traditional sports communities.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4ddcb9481909881c77458c59c83 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.