Triple

T5418895
Position Surface form Disambiguated ID Type / Status
Subject Elverum E121198 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Trysil E492289 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: Trysil | Statement: [Elverum, hasNeighbouringMunicipality, Trysil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trysil
Context triple: [Elverum, hasNeighbouringMunicipality, Trysil]
  • A. Trysil chosen
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • B. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • C. Ullensvang
    Ullensvang is a scenic municipality in Vestland county, Norway, known for its fruit orchards, fjord landscapes, and location along the Hardangerfjord.
  • D. Tvedestrand
    Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
  • E. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e7ae388190b26d16d42e717023 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf45fbf08190b2b98f3eb75eafa3 completed March 23, 2026, 4:19 a.m.
Created at: March 20, 2026, 2:05 p.m.