Triple

T18342376
Position Surface form Disambiguated ID Type / Status
Subject Jens Berthel Askou E439441 entity
Predicate playedFor P2170 FINISHED
Object Vejle Boldklub 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: Vejle Boldklub | Statement: [Jens Berthel Askou, playedFor, Vejle Boldklub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vejle Boldklub
Context triple: [Jens Berthel Askou, playedFor, Vejle Boldklub]
  • A. Vejle Boldklub chosen
    Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
  • B. Odense Boldklub
    Odense Boldklub is a Danish professional football club based in the city of Odense, known for competing in the top tiers of Danish football.
  • C. Viborg FF
    Viborg FF is a Danish professional football club based in Viborg that competes in the Danish Superliga.
  • D. Holstebro Boldklub
    Holstebro Boldklub is a Danish football club based in the town of Holstebro, competing in the lower tiers of the national league system and focusing on both senior and youth development.
  • E. Randers FC
    Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
  • 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.