Triple

T16509968
Position Surface form Disambiguated ID Type / Status
Subject Nordland E401032 entity
Predicate hasMunicipality P847 FINISHED
Object Vefsn E1176040 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: Vefsn | Statement: [Nordland, hasMunicipality, Vefsn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vefsn
Context triple: [Nordland, hasMunicipality, Vefsn]
  • A. Vefsn chosen
    Vefsn is a municipality in Nordland county, Norway, known for the town of Mosjøen and its location in the Helgeland region.
  • B. Vikøyri
    Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
  • C. Fælværa
    Fælværa is a deity in Ossetian folk religion, associated with the traditional spiritual and mythological beliefs of the Ossetian people of the Caucasus.
  • D. Birketveit
    Birketveit is a village in Agder county, Norway, serving as the main local hub for municipal services and community life in Iveland.
  • E. Elduvík
    Elduvík is a small coastal village in the Faroe Islands known for its traditional turf-roofed houses and scenic fjord-side setting.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608038288190925586dfb7e64689 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.