Triple

T15302446
Position Surface form Disambiguated ID Type / Status
Subject Viking FK E365821 entity
Predicate homeStadium P890 FINISHED
Object Viking Stadion 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 Stadion | Statement: [Viking FK, homeStadium, Viking Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Stadion
Context triple: [Viking FK, homeStadium, Viking Stadion]
  • A. Viking Stadion chosen
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • B. Alfheim Stadion
    Alfheim Stadion is a football stadium in Tromsø, Norway, best known as the home ground of the Norwegian club Tromsø IL.
  • C. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • D. Daknamstadion
    Daknamstadion is a football stadium in Lokeren, Belgium, best known as the long-time home ground of K.S.C. Lokeren Oost-Vlaanderen.
  • E. Ullevaal Stadion
    Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
  • 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_69fef89bb46481908f27fa98eb6ac5c3 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:15 a.m.