Triple

T16338314
Position Surface form Disambiguated ID Type / Status
Subject Marek Hamšík E396731 entity
Predicate playedFor P2170 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: [Marek Hamšík, playedFor, IFK Göteborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFK Göteborg
Context triple: [Marek Hamšík, playedFor, 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. 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.
  • C. 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.
  • D. Gefle IF
    Gefle IF is a Swedish professional football club based in the city of Gävle, known for competing in the national league system and developing local talent.
  • E. IFK Norrköping
    IFK Norrköping is a Swedish professional football club based in Norrköping that competes in the country’s top leagues and has a rich domestic history.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e6338081908aa03ee3dcbe5f70 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.