Triple

T4422220
Position Surface form Disambiguated ID Type / Status
Subject 1994 Winter Paralympics E95125 entity
Predicate venueCity P19642 FINISHED
Object Øyer E95127 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: Øyer | Statement: [1994 Winter Paralympics, venueCity, Øyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øyer
Context triple: [1994 Winter Paralympics, venueCity, Øyer]
  • A. Øyer chosen
    Øyer is a small municipality in Innlandet county, Norway, known for its rural valley landscape and proximity to the Hafjell ski resort.
  • B. Flørli
    Flørli is a small, roadless village in Norway’s Lysefjord best known for its historic hydropower station and one of the world’s longest wooden stairways, with 4,444 steps climbing the mountainside.
  • C. Ornes
    Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
  • D. Rødenes
    Rødenes is a small village and former municipality in southeastern Norway, known for its rural landscape and historic church.
  • E. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554a0e7c8190b704d00d07b1857d completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62715748190abceb14396ad637d completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:30 p.m.