Triple

T18275491
Position Surface form Disambiguated ID Type / Status
Subject BK Häcken E437723 entity
Predicate fullName P16 FINISHED
Object Bollklubben Häcken NE NERFINISHED

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: Bollklubben Häcken | Statement: [BK Häcken, fullName, Bollklubben Häcken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bollklubben Häcken
Context triple: [BK Häcken, fullName, Bollklubben Häcken]
  • A. BK Häcken chosen
    BK Häcken is a Swedish professional football club from Gothenburg, known for competing in Allsvenskan and for its strong youth development and recent domestic success.
  • B. Husqvarna IF
    Husqvarna IF is a Swedish sports club from Husqvarna best known for its role in local football and ice hockey before contributing to the formation of HV71.
  • 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. 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.
  • 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 (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50051bccc8190832eacdb6945d6b7 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.