Triple

T14126807
Position Surface form Disambiguated ID Type / Status
Subject Snøhetta E340054 entity
Predicate locatedIn P40 FINISHED
Object Dovrefjell E340054 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: Dovrefjell | Statement: [Snøhetta, locatedIn, Dovrefjell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dovrefjell
Context triple: [Snøhetta, locatedIn, Dovrefjell]
  • A. Dovrefjell chosen
    Dovrefjell is a prominent mountainous region in central Norway known for its rugged peaks, national park, and rich wildlife including wild reindeer and musk oxen.
  • B. Rondane
    Rondane is a mountainous national park in central Norway known for its high peaks, alpine plateaus, and rich wildlife, including wild reindeer.
  • C. Lyngen Alps
    The Lyngen Alps are a dramatic mountain range in northern Norway known for their sharp peaks, deep fjords, and popularity for skiing, mountaineering, and viewing the Northern Lights.
  • D. Filefjell
    Filefjell is a mountainous area and historic mountain pass in southern Norway, known as an important route between Eastern and Western Norway and a popular destination for hiking and winter sports.
  • E. Kvitfjell
    Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19356478819083406440c22c38e2 completed May 7, 2026, 10:59 p.m.
Created at: April 9, 2026, 10:22 p.m.