Triple

T5251410
Position Surface form Disambiguated ID Type / Status
Subject Kongsvinger E118595 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Eidskog E501802 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: Eidskog | Statement: [Kongsvinger, hasNeighbouringMunicipality, Eidskog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidskog
Context triple: [Kongsvinger, hasNeighbouringMunicipality, Eidskog]
  • A. Eidskog chosen
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • B. Risberg
    Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • C. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • D. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • E. Ørskog
    Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7b840881908bb1ecb8a0047382 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1bb8b5481908f02d08594cc2e1f completed March 22, 2026, 8 a.m.
Created at: March 20, 2026, 1:50 p.m.