Triple

T15618216
Position Surface form Disambiguated ID Type / Status
Subject Haugesund municipality E375473 entity
Predicate hasSportsClub P346 FINISHED
Object FK Haugesund E1158416 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 Haugesund | Statement: [Haugesund municipality, hasSportsClub, FK Haugesund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FK Haugesund
Context triple: [Haugesund municipality, hasSportsClub, FK Haugesund]
  • A. FK Haugesund chosen
    FK Haugesund is a Norwegian professional football club based in Haugesund that competes in the country’s top divisions and is known for its regional rivalry with Viking FK.
  • B. Bryne FK
    Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
  • C. Sandefjord Fotball
    Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
  • D. Strømsgodset
    Strømsgodset is a Norwegian professional football club based in Drammen, best known for competing in the country’s top division, the Eliteserien.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56def20881909f835dd44ab9ac2b completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.