Triple

T23399368
Position Surface form Disambiguated ID Type / Status
Subject KIF Örebro DFF E559456 entity
Predicate hasNameInLanguage P15 FINISHED
Object KIF Örebro DFF (Swedish) 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 DFF (Swedish) | Statement: [KIF Örebro DFF, hasNameInLanguage, KIF Örebro DFF (Swedish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIF Örebro DFF (Swedish)
Context triple: [KIF Örebro DFF, hasNameInLanguage, KIF Örebro DFF (Swedish)]
  • 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. Växjö DFF
    Växjö DFF is a Swedish women's football club based in Växjö that competes in the country's top tiers of women's football.
  • D. Kristianstads DFF
    Kristianstads DFF is a Swedish women's football club that competes in the country's top-tier league, Damallsvenskan.
  • E. Hammarby IF DFF
    Hammarby IF DFF is a Swedish women's football club based in Stockholm, known for competing in the top tiers of the national league system.
  • 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.