Triple

T15302418
Position Surface form Disambiguated ID Type / Status
Subject Viking Stadion E365820 entity
Predicate formerName P65 FINISHED
Object Viking Arena E365820 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: Viking Arena | Statement: [Viking Stadion, formerName, Viking Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Arena
Context triple: [Viking Stadion, formerName, Viking Arena]
  • A. Skagerak Arena
    Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
  • B. Scandinavium arena
    Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
  • C. Viking Stadion chosen
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • D. Läkerol Arena
    Läkerol Arena is the former name of a multi-purpose indoor ice hockey arena in Gävle, Sweden, that has hosted home games for the Brynäs IF hockey team.
  • E. Visma Arena
    Visma Arena is a multi-purpose sports stadium in Växjö, Sweden, primarily used for football matches and home to local professional teams.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef86b8cc81909969098b1766f6b7 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.