Triple

T18113296
Position Surface form Disambiguated ID Type / Status
Subject Vang E433534 entity
Predicate locatedInMountainRange P651 FINISHED
Object Filefjell 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: Filefjell | Statement: [Vang, locatedInMountainRange, Filefjell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filefjell
Context triple: [Vang, locatedInMountainRange, Filefjell]
  • A. Filefjell chosen
    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.
  • B. Kvitfjell
    Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
  • C. Grindafjell
    Grindafjell is a mountain located near the lake Vangsmjøse in Vang, Innlandet county, Norway, known for its scenic hiking terrain and views of the surrounding Valdres region.
  • D. Slettefjell
    Slettefjell is a mountain in Norway known for its scenic highland landscapes and popular hiking and skiing routes.
  • E. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.