Triple

T22248180
Position Surface form Disambiguated ID Type / Status
Subject Vuku E549900 entity
Predicate locatedIn P40 FINISHED
Object Verdal 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: Verdal | Statement: [Vuku, locatedIn, Verdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verdal
Context triple: [Vuku, locatedIn, Verdal]
  • A. Verdal chosen
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • B. Vaksdal
    Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
  • C. Nissedal
    Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • D. Vedvik
    Vedvik is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
  • E. Eidsvåg
    Eidsvåg is a village in Møre og Romsdal county, Norway, known for its fjord-side location and role as a local service and industrial hub.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13219dc3481908dd987c4e98623e6 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.