Triple

T20018376
Position Surface form Disambiguated ID Type / Status
Subject Herøy (Møre og Romsdal) E494781 entity
Predicate borderedBy P224 FINISHED
Object Vanylven 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: Vanylven | Statement: [Herøy (Møre og Romsdal), borderedBy, Vanylven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanylven
Context triple: [Herøy (Møre og Romsdal), borderedBy, Vanylven]
  • A. Vanylven chosen
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • B. Vellberg
    Vellberg is a small historic town in the German state of Baden-Württemberg, known for its well-preserved medieval architecture and picturesque setting.
  • C. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • D. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • E. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.