Triple

T20114248
Position Surface form Disambiguated ID Type / Status
Subject Strømsø E490412 entity
Predicate contains P35 FINISHED
Object Marienlyst 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: Marienlyst stadion | Statement: [Strømsø, contains, Marienlyst stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marienlyst stadion
Context triple: [Strømsø, contains, Marienlyst stadion]
  • A. Marienlyst Stadion chosen
    Marienlyst Stadion is a football stadium in Drammen, Norway, best known as the long-time home ground of the Norwegian club Strømsgodset Toppfotball.
  • B. Henningsvær Stadion
    Henningsvær Stadion is a small, picturesque football pitch in Norway famous for its dramatic setting on a rocky islet surrounded by the sea and mountains in the Lofoten archipelago.
  • C. Gjemselund Stadion
    Gjemselund Stadion is a football stadium in Kongsvinger, Norway, primarily known as the home venue of the local professional club.
  • D. Vejle Stadium
    Vejle Stadium is a multi-purpose sports arena in Vejle, Denmark, best known as the home ground of the football club Vejle Boldklub.
  • 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 (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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e31af081908d8e0c867c388a73 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.