Triple

T3145602
Position Surface form Disambiguated ID Type / Status
Subject Frölunda HC E65756 entity
Predicate shortName P43 FINISHED
Object Frölunda HC E65756 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: Frölunda HC | Statement: [Frölunda HC, shortName, Frölunda HC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frölunda HC
Context triple: [Frölunda HC, shortName, Frölunda HC]
  • A. Frölunda HC chosen
    Frölunda HC is a professional ice hockey club from Gothenburg, Sweden, competing in the top-tier Swedish Hockey League and known for its strong fan base and successful history.
  • B. Linköping HC
    Linköping HC is a professional Swedish ice hockey club based in Linköping that competes in the country’s top-tier leagues.
  • C. Brynas IF
    Brynäs IF is a professional Swedish ice hockey club based in Gävle, historically one of the country's most successful teams and a notable developer of NHL talent.
  • D. Malmö Redhawks
    Malmö Redhawks is a professional ice hockey club from Malmö, Sweden, known for competing in the country’s top leagues and developing notable international players.
  • E. Djurgården
    Djurgården is a central Stockholm island known for its parks, museums, and major attractions like the Vasa Museum and Skansen.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f18e80819083be53c556d56947 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.