Triple

T17657918
Position Surface form Disambiguated ID Type / Status
Subject Rollag E440172 entity
Predicate borderWith P224 FINISHED
Object Nore og Uvdal 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: Nore og Uvdal | Statement: [Rollag, borderWith, Nore og Uvdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nore og Uvdal
Context triple: [Rollag, borderWith, Nore og Uvdal]
  • A. Nore og Uvdal chosen
    Nore og Uvdal is a mountainous rural municipality in southern Norway known for its vast natural landscapes, outdoor recreation, and traditional cultural heritage.
  • B. Sunndal
    Sunndal is a municipality in Møre og Romsdal county in western Norway, known for its dramatic fjord landscape and significant aluminum industry.
  • C. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • D. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • E. Vedvik
    Vedvik is a small coastal village in the former Vågsøy municipality in Vestland county, western 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:28 a.m.