Triple

T15528849
Position Surface form Disambiguated ID Type / Status
Subject Aker Stadion E370155 entity
Predicate formerName P65 FINISHED
Object Molde Stadion E370155 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: Molde Stadion | Statement: [Aker Stadion, formerName, Molde Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molde Stadion
Context triple: [Aker Stadion, formerName, Molde Stadion]
  • A. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • B. Fredrikstad Stadion
    Fredrikstad Stadion is a football stadium in Fredrikstad, Norway, primarily known as the modern home ground of the Norwegian club Fredrikstad FK.
  • 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. Aker Stadion chosen
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.