Triple

T21308631
Position Surface form Disambiguated ID Type / Status
Subject Finnvollheia E525267 entity
Predicate hasNorwegianName P1435 FINISHED
Object Finnvollheia 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: Finnvollheia | Statement: [Finnvollheia, hasNorwegianName, Finnvollheia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finnvollheia
Context triple: [Finnvollheia, hasNorwegianName, Finnvollheia]
  • A. Finnvollheia chosen
    Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
  • B. Fjørå
    Fjørå is a small Norwegian village situated along the inner reaches of a fjord in Møre og Romsdal county.
  • C. Gravdal
    Gravdal is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Hasvåg
    Hasvåg is a small coastal village in Trøndelag county, Norway, known for its fishing and scenic North Atlantic shoreline.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa863688190a5e45248e31eec88 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:06 p.m.