Triple

T13853549
Position Surface form Disambiguated ID Type / Status
Subject Glittertind E333003 entity
Predicate locatedIn P40 FINISHED
Object Lom Municipality E331819 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: Lom Municipality | Statement: [Glittertind, locatedIn, Lom Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lom Municipality
Context triple: [Glittertind, locatedIn, Lom Municipality]
  • A. Lom municipality chosen
    Lom municipality is a rural local government area in Innlandet county, Norway, known for its mountainous landscapes, including parts of the Jotunheimen range, and the historic Lom Stave Church.
  • B. Mora Municipality
    Mora Municipality is a local administrative region in Portugal known for its rural landscapes, traditional Alentejo culture, and archaeological and natural heritage.
  • C. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • D. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70a59e8819090b750699993a107 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.