Triple

T18113041
Position Surface form Disambiguated ID Type / Status
Subject Nord-Fron E433529 entity
Predicate administrativeCentre P1474 FINISHED
Object Vinstra 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: Vinstra | Statement: [Nord-Fron, administrativeCentre, Vinstra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinstra
Context triple: [Nord-Fron, administrativeCentre, Vinstra]
  • A. Vinstra chosen
    Vinstra is a small town in Innlandet county, Norway, known as a local commercial and transport hub in the Gudbrandsdalen valley.
  • B. Valstrona
    Valstrona is a small municipality in Italy’s Piedmont region, situated in a mountainous valley known for its natural landscapes and traditional alpine villages.
  • C. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • D. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • E. Fiastra
    Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.