Triple

T4376900
Position Surface form Disambiguated ID Type / Status
Subject IFK Göteborg E99028 entity
Predicate shortName P43 FINISHED
Object IFK Göteborg E99028 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: IFK Göteborg | Statement: [IFK Göteborg, shortName, IFK Göteborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFK Göteborg
Context triple: [IFK Göteborg, shortName, IFK Göteborg]
  • A. IFK Göteborg chosen
    IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
  • B. Malmö FF
    Malmö FF is one of Sweden’s most successful and popular football clubs, based in Malmö and known for its numerous national titles and regular participation in European competitions.
  • C. Malmö IF
    Malmö IF is a Swedish professional ice hockey club from Malmö, historically known for competing in the country’s top leagues and later rebranding as the Malmö Redhawks.
  • 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. Djurgårdens IF
    Djurgårdens IF is a prominent Swedish sports club from Stockholm, best known for its successful ice hockey and football teams and large, passionate fan base.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523ed220819090cef1a7933489d9 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.