Triple

T13953924
Position Surface form Disambiguated ID Type / Status
Subject Jevnaker municipality E335604 entity
Predicate borders P224 FINISHED
Object Lunner municipality E1062777 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: Lunner municipality | Statement: [Jevnaker municipality, borders, Lunner municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunner municipality
Context triple: [Jevnaker municipality, borders, Lunner municipality]
  • A. Lunner municipality chosen
    Lunner municipality is a local government area in Viken county, Norway, known for its rural landscapes, forests, and proximity to the Oslo region.
  • B. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • C. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • D. Elverum municipality
    Elverum municipality is a local government area in Innlandet county, Norway, known for its forests, military presence, and role as a regional service and education center.
  • E. Kinn Municipality
    Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e146720819085d0f5eae558b7a4 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d0735c81909ec0eab090af08a1 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.