Triple

T5418894
Position Surface form Disambiguated ID Type / Status
Subject Elverum E121198 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Åmot E457402 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: Åmot | Statement: [Elverum, hasNeighbouringMunicipality, Åmot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åmot
Context triple: [Elverum, hasNeighbouringMunicipality, Åmot]
  • A. Åmot chosen
    Åmot is a rural municipality in Innlandet county in eastern Norway, known for its forests, rivers, and outdoor recreation.
  • B. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • C. Åmli
    Åmli is a rural municipality in Agder county in southern Norway, known for its forested landscapes, rivers, and outdoor recreation opportunities.
  • D. Nordanstig Municipality
    Nordanstig Municipality is a local government area in east-central Sweden known for its rural landscapes along the Gulf of Bothnia.
  • E. Åsta
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • 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_69bf3ab152248190847686ff42ac810c completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.