Triple

T15021487
Position Surface form Disambiguated ID Type / Status
Subject Aspmyra Stadion E378093 entity
Predicate homeVenueOf P890 FINISHED
Object FK Bodø/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: FK Bodø/Glimt | Statement: [Aspmyra Stadion, homeVenueOf, FK Bodø/Glimt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FK Bodø/Glimt
Context triple: [Aspmyra Stadion, homeVenueOf, FK Bodø/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. Bryne FK
    Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
  • C. Strømsgodset
    Strømsgodset is a Norwegian professional football club based in Drammen, best known for competing in the country’s top division, the Eliteserien.
  • D. Sarpsborg 08 FF
    Sarpsborg 08 FF is a Norwegian professional football club based in Sarpsborg that competes in the country’s top division, the Eliteserien.
  • E. Stabæk Fotball
    Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
  • 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_69fec87725348190a0da7555b62adbdc completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 2:56 a.m.