Triple

T13953958
Position Surface form Disambiguated ID Type / Status
Subject Beitostølen ski resort E335605 entity
Predicate locatedIn P40 FINISHED
Object Valdres E96299 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: Valdres | Statement: [Beitostølen ski resort, locatedIn, Valdres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdres
Context triple: [Beitostølen ski resort, locatedIn, Valdres]
  • A. Valdres chosen
    Valdres is a scenic valley and traditional district in central southern Norway, known for its mountains, lakes, and rich cultural heritage.
  • B. Surselva region
    The Surselva region is a mountainous area in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
  • C. Lesja valley
    Lesja valley is a rural Norwegian valley known for its mountainous landscapes, traditional farming communities, and location within the inland region of Lesja municipality in Innlandet county.
  • D. Steyrtal
    Steyrtal is a scenic valley region in Upper Austria known for the Steyr River, traditional villages, and forested alpine landscapes.
  • E. Traun valley
    Traun valley is a river valley in Upper Austria shaped by the Traun River, encompassing towns such as Leonding and forming part of the greater Linz metropolitan area.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d0735c81909ec0eab090af08a1 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.