Triple

T18442512
Position Surface form Disambiguated ID Type / Status
Subject Fosnes E450565 entity
Predicate borderedBy P224 FINISHED
Object Nærøy (historically) NE NERFINISHED

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: Nærøy (historically) | Statement: [Fosnes, borderedBy, Nærøy (historically)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nærøy (historically)
Context triple: [Fosnes, borderedBy, Nærøy (historically)]
  • A. Lurøy
    Lurøy is a coastal municipality in Nordland county, Norway, known for its scattered islands, fishing communities, and scenic Arctic landscapes.
  • B. Nærøy chosen
    Nærøy is a former coastal municipality in Trøndelag county, Norway, known for its fishing communities and island-dotted landscape.
  • C. Sørreisa
    Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
  • D. Fjørå
    Fjørå is a small Norwegian village situated along the inner reaches of a fjord in Møre og Romsdal county.
  • E. Røykenvik
    Røykenvik is a small village and former railway terminus located by Randsfjorden in Gran municipality in Innlandet county, Norway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c11b1288190b9ed4497751197d1 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.