Triple

T21639732
Position Surface form Disambiguated ID Type / Status
Subject Valle Hovin E534058 entity
Predicate near P350 FINISHED
Object Valle Hovin Stadion 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: Valle Hovin Stadion | Statement: [Valle Hovin, near, Valle Hovin Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valle Hovin Stadion
Context triple: [Valle Hovin, near, Valle Hovin Stadion]
  • A. Valle Hovin Stadion chosen
    Valle Hovin Stadion is a multi-purpose venue in Oslo, Norway, best known historically as a major outdoor concert and sports arena.
  • B. Aspmyra Stadion
    Aspmyra Stadion is a football stadium in Bodø, Norway, best known as the home ground of FK Bodø/Glimt.
  • C. Høddvoll Stadion
    Høddvoll Stadion is a football stadium in Ulsteinvik, Norway, best known as the home ground of the club IL Hødd.
  • D. Åråsen Stadion
    Åråsen Stadion is a football stadium in Lillestrøm, Norway, best known as the main home ground of Lillestrøm SK and a prominent venue in Norwegian football.
  • E. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5390ba7481908f58230779e5b7bb completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.