Triple

T17809524
Position Surface form Disambiguated ID Type / Status
Subject Kvitfjell E444660 entity
Predicate locatedIn P40 FINISHED
Object Ringebu Municipality 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: Ringebu Municipality | Statement: [Kvitfjell, locatedIn, Ringebu Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringebu Municipality
Context triple: [Kvitfjell, locatedIn, Ringebu Municipality]
  • A. Ringebu municipality chosen
    Ringebu municipality is a local government area in Innlandet county, Norway, known for its historic stave church and scenic Gudbrandsdalen valley landscape.
  • B. Kinn Municipality
    Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
  • C. Berg Municipality
    Berg Municipality is a local government area in central Sweden known for its mountainous landscapes, lakes, and outdoor recreation within Jämtland County.
  • D. Bjurholm Municipality
    Bjurholm Municipality is a small local government area in northern Sweden known for being one of the least populated municipalities in the country.
  • E. Svaneke Municipality
    Svaneke Municipality was a former administrative municipality in Denmark that encompassed the town of Svaneke and its surrounding area on the island of Bornholm.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887976e48190842840ef064dc772 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.