Triple

T21775713
Position Surface form Disambiguated ID Type / Status
Subject Vålerenga Stadion E537567 entity
Predicate namedAfter P63 FINISHED
Object Vålerenga (club and district) 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 (club and district) | Statement: [Vålerenga Stadion, namedAfter, Vålerenga (club and district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vålerenga (club and district)
Context triple: [Vålerenga Stadion, namedAfter, Vålerenga (club and district)]
  • A. Vålerenga kultur- og idrettspark
    Vålerenga kultur- og idrettspark is the former name of Intility Arena, a football stadium in Oslo that serves as the home ground of Vålerenga Fotball.
  • B. 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.
  • C. Våler
    Våler is a rural municipality in Innlandet county, Norway, known for its forests, agriculture, and traditional inland Norwegian landscape.
  • D. Vålerenga Fotball
    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.
  • E. Drøbak-Frogn IL
    Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.