Triple

T22226553
Position Surface form Disambiguated ID Type / Status
Subject Rosenborg Ballklub E549351 entity
Predicate hasRival P1375 FINISHED
Object Vålerenga Fotball 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: Vålerenga Fotball | Statement: [Rosenborg Ballklub, hasRival, Vålerenga Fotball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vålerenga Fotball
Context triple: [Rosenborg Ballklub, hasRival, Vålerenga Fotball]
  • A. Vålerenga Fotball chosen
    Vålerenga Fotball is a Norwegian professional football club based in Oslo, known for its passionate fan base and history in the country’s top division.
  • B. Vålerenga
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • C. Elverum Fotball
    Elverum Fotball is a Norwegian football club based in the town of Elverum, known for competing in the lower tiers of the national league system.
  • D. Lillestrøm SK
    Lillestrøm SK is a Norwegian professional football club known for its passionate fan base, historic success in domestic competitions, and intense rivalry with other Oslo-area teams.
  • E. Sogndal Fotball
    Sogndal Fotball is a Norwegian professional football club based in Sogndal, known for competing in the country’s top divisions and developing local talent.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bee8de8819091ec5d14ea057f9e completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.