Triple

T15021447
Position Surface form Disambiguated ID Type / Status
Subject FK Bodø/Glimt E378092 entity
Predicate nickname P55 FINISHED
Object Glimt E378092 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: Glimt | Statement: [FK Bodø/Glimt, nickname, Glimt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glimt
Context triple: [FK Bodø/Glimt, nickname, Glimt]
  • A. FK Bodø/Glimt chosen
    FK Bodø/Glimt is a Norwegian professional football club known for its attacking style of play and recent domestic success, including historic league titles.
  • B. Strømsgodset
    Strømsgodset is a Norwegian professional football club based in Drammen, best known for competing in the country’s top division, the Eliteserien.
  • C. Vålerenga
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • D. Tippeligaen
    Tippeligaen was the former sponsored name of Norway’s top-tier professional football league, now known as Eliteserien.
  • E. Rosenborg BK
    Rosenborg BK is a Norwegian professional football club from Trondheim, historically one of the country’s most successful teams and a dominant force in the Eliteserien.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded765462c819097f331c9b39c80e3 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae09dca88190a832e1b068252137 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:56 a.m.