Triple

T13252391
Position Surface form Disambiguated ID Type / Status
Subject Kristine Lilly E315564 entity
Predicate memberOfSportsTeam P330 FINISHED
Object KIF Örebro DFF E559456 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: KIF Örebro DFF | Statement: [Kristine Lilly, memberOfSportsTeam, KIF Örebro DFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIF Örebro DFF
Context triple: [Kristine Lilly, memberOfSportsTeam, KIF Örebro DFF]
  • 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. 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.
  • C. 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.
  • D. Degerfors IF
    Degerfors IF is a Swedish professional football club known for its long history and development of notable players in the country’s leagues.
  • E. Eskilstuna United DFF
    Eskilstuna United DFF is a Swedish women's football club based in Eskilstuna that competes in the country's top leagues.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3b8ca48190863aff25f12d0e7e completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:24 p.m.