Triple

T18342380
Position Surface form Disambiguated ID Type / Status
Subject Jens Berthel Askou E439441 entity
Predicate managedClub P3239 FINISHED
Object AC Horsens 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: AC Horsens | Statement: [Jens Berthel Askou, managedClub, AC Horsens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AC Horsens
Context triple: [Jens Berthel Askou, managedClub, AC Horsens]
  • A. AC Horsens chosen
    AC Horsens is a Danish professional football club based in the city of Horsens, known for competing in Denmark’s top football divisions.
  • B. Hammersborg
    Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
  • C. Herning Fremad
    Herning Fremad was a Danish football club from Herning that later became part of the foundation for the professional club FC Midtjylland.
  • D. Odense Håndbold
    Odense Håndbold is a professional Danish women's handball club based in Odense that competes at the top level of national and European competitions.
  • E. Haderslev FK
    Haderslev FK is a Danish football club based in the town of Haderslev.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f0b5a881908056d48bc48124b8 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.