Triple

T5291186
Position Surface form Disambiguated ID Type / Status
Subject Klanen E119744 entity
Predicate supportsClub P6593 FINISHED
Object Vålerenga Ishockey E124539 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: Vålerenga Ishockey | Statement: [Klanen, supportsClub, Vålerenga Ishockey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vålerenga Ishockey
Context triple: [Klanen, supportsClub, Vålerenga Ishockey]
  • A. Vålerenga chosen
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • B. Gjøvik Hockey
    Gjøvik Hockey is an ice hockey club based in Gjøvik, Norway, competing in the Norwegian league system.
  • C. Storhamar Hockey
    Storhamar Hockey is a professional ice hockey club from Hamar, Norway, known as one of the country’s most successful and storied teams.
  • D. Lillehammer IK
    Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
  • E. Tromsø IL
    Tromsø IL is a Norwegian professional football club based in the city of Tromsø, known for competing in the country’s top divisions and for being one of the world’s northernmost elite clubs.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eccac481908ba3fe28c3908d1d completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f066988190a3df7e270df84fdd completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.