Triple

T16516231
Position Surface form Disambiguated ID Type / Status
Subject Ibra E401191 entity
Predicate hasPlayedFor P2170 FINISHED
Object Malmö FF E318113 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: Malmö FF | Statement: [Ibra, hasPlayedFor, Malmö FF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malmö FF
Context triple: [Ibra, hasPlayedFor, Malmö FF]
  • A. Malmö FF chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. IFK Göteborg
    IFK Göteborg is a prominent Swedish football club based in Gothenburg, known for its domestic success and historic UEFA Cup victories.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7c7e588190acbcc2b807a98909 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a59eb48190901ba7907c09639d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.