Triple

T4376933
Position Surface form Disambiguated ID Type / Status
Subject IFK Göteborg E99028 entity
Predicate stadiumSharedWith P1749 FINISHED
Object Örgryte IS E102626 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: Örgryte IS | Statement: [IFK Göteborg, stadiumSharedWith, Örgryte IS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Örgryte IS
Context triple: [IFK Göteborg, stadiumSharedWith, Örgryte IS]
  • A. Örgryte IS chosen
    Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
  • B. Djurgården
    Djurgården is a central Stockholm island known for its parks, museums, and major attractions like the Vasa Museum and Skansen.
  • C. Rögle BK
    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.
  • D. Östers IF
    Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
  • E. Mjøndalen
    Mjøndalen is a town in Viken county, Norway, known historically for its industry and for its football club Mjøndalen IF.
  • 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_69b5f5e210108190bf14731ce3774b6b completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:18 p.m.