Triple

T13622878
Position Surface form Disambiguated ID Type / Status
Subject Henningsvær E325499 entity
Predicate hasPart P35 FINISHED
Object Henningsvær Stadion E1050301 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: Henningsvær Stadion | Statement: [Henningsvær, hasPart, Henningsvær Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henningsvær Stadion
Context triple: [Henningsvær, hasPart, Henningsvær Stadion]
  • A. Henningsvær Stadion chosen
    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.
  • B. Marienlyst Stadion
    Marienlyst Stadion is a football stadium in Drammen, Norway, best known as the long-time home ground of the Norwegian club Strømsgodset Toppfotball.
  • 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. 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. Gjemselund Stadion
    Gjemselund Stadion is a football stadium in Kongsvinger, Norway, primarily known as the home venue of the local professional club.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae7d6908190836172e955b0d7e8 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.