Triple

T12174260
Position Surface form Disambiguated ID Type / Status
Subject Patrice Bernier E290048 entity
Predicate leagueParticipatedIn P2209 FINISHED
Object Eliteserien E119741 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: Eliteserien | Statement: [Patrice Bernier, leagueParticipatedIn, Eliteserien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliteserien
Context triple: [Patrice Bernier, leagueParticipatedIn, Eliteserien]
  • A. Eliteserien chosen
    Eliteserien is the top professional football league in Norway, featuring the country’s highest-level clubs in the sport.
  • B. Danish Superliga
    The Danish Superliga is the top professional football league in Denmark, featuring the country’s highest-level clubs competing for the national championship and European qualification.
  • C. Norwegian First Division
    The Norwegian First Division is the second-highest level of professional football in Norway, sitting directly below the top-tier Eliteserien.
  • D. Norwegian Toppserien
    Norwegian Toppserien is the top-tier professional women's football league in Norway.
  • E. Metal Ligaen
    Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.