Triple

T15463924
Position Surface form Disambiguated ID Type / Status
Subject Innlandet E371974 entity
Predicate locatedInCountrySubdivision P766 FINISHED
Object Vestlandet region E739596 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: Vestlandet region | Statement: [Innlandet, locatedInCountrySubdivision, Vestlandet region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestlandet region
Context triple: [Innlandet, locatedInCountrySubdivision, Vestlandet region]
  • A. Vestlandet chosen
    Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
  • B. Sørland
    Sørland is the main village and administrative center of the island municipality of Værøy in Nordland county, Norway.
  • C. Hålogaland
    Hålogaland is a historical region in northern Norway traditionally encompassing parts of what are now Troms and Nordland counties.
  • D. Jæren region
    The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
  • E. Nes, Viken
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009183a94081909c5892b1ccbc1d7a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 3:33 a.m.