Triple

T22994587
Position Surface form Disambiguated ID Type / Status
Subject Christian Berge E572151 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Aarhus GF 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: Aarhus GF | Statement: [Christian Berge, memberOfSportsTeam, Aarhus GF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarhus GF
Context triple: [Christian Berge, memberOfSportsTeam, Aarhus GF]
  • A. Aarhus C
    Aarhus C is the central district of Aarhus, Denmark, known as the city’s historic and cultural core with major attractions, shopping streets, and urban life.
  • B. Aarhus Gymnastikforening
    Aarhus Gymnastikforening is a Danish professional football club based in Aarhus, known for competing in the country's top-tier league.
  • C. Aarhus Håndbold chosen
    Aarhus Håndbold is a professional handball club based in Aarhus, Denmark, competing in the Danish handball league system.
  • D. Hammersborg
    Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
  • E. Aalborg Pirates
    Aalborg Pirates is a professional Danish ice hockey team based in Aalborg that competes in the country’s top league and is known for its intense rivalry with Herning Blue Fox.
  • 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.