Triple

T16811779
Position Surface form Disambiguated ID Type / Status
Subject FK Gjøvik-Lyn E408630 entity
Predicate homeVenue P105 FINISHED
Object Gjøvik Stadion E408629 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: Gjøvik Stadion | Statement: [FK Gjøvik-Lyn, homeVenue, Gjøvik Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjøvik Stadion
Context triple: [FK Gjøvik-Lyn, homeVenue, Gjøvik Stadion]
  • A. Gjøvik Stadium chosen
    Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
  • B. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • C. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • D. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • E. Bryne Stadion
    Bryne Stadion is a football stadium in Bryne, Norway, primarily known as the home ground of the Norwegian club Bryne FK.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.