Triple

T22994589
Position Surface form Disambiguated ID Type / Status
Subject Christian Berge E572151 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Heimdal IF 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: Heimdal IF | Statement: [Christian Berge, memberOfSportsTeam, Heimdal IF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heimdal IF
Context triple: [Christian Berge, memberOfSportsTeam, Heimdal IF]
  • A. Heimdal FK chosen
    Heimdal FK is a Norwegian football club representing the Heimdal area, competing in the lower tiers of the national league system.
  • 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. Norrby IF
    Norrby IF is a Swedish football club based in Borås, known for competing in the national league system and representing one of the city's traditional sports communities.
  • D. IFK Östersund
    IFK Östersund is a Swedish football club from Östersund, known locally for its traditional status and rivalry with Östersunds FK.
  • E. 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.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f25af48190a98b7baeec824ae6 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.