Triple

T14531706
Position Surface form Disambiguated ID Type / Status
Subject Rögle BK E340930 entity
Predicate shortName P43 FINISHED
Object Rögle E340930 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: Rögle | Statement: [Rögle BK, shortName, Rögle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rögle
Context triple: [Rögle BK, shortName, Rögle]
  • A. Rögle BK chosen
    Rögle BK is a professional ice hockey club from Ängelholm, Sweden, competing in the Swedish Hockey League and known for its intense regional rivalry with Malmö Redhawks.
  • B. Leksand
    Leksand is a small Swedish town in Dalarna County known for its traditional midsummer celebrations, picturesque lakeside setting, and strong ice hockey culture.
  • C. Örgryte IS
    Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
  • D. Älvkarleby rapids
    Älvkarleby rapids are a notable stretch of fast-flowing water on the Dalälven River in Sweden, known for their scenic beauty and popular fishing opportunities.
  • E. Vittsjö GIK
    Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a56872c8190a6d2421cb81aeeb1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.