Triple

T21218595
Position Surface form Disambiguated ID Type / Status
Subject Tromøya E522902 entity
Predicate largestVillage P6147 FINISHED
Object Færvik 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: Færvik | Statement: [Tromøya, largestVillage, Færvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Færvik
Context triple: [Tromøya, largestVillage, Færvik]
  • A. Færvik chosen
    Færvik is a village on the island of Tromøya in southern Norway, known for its coastal setting and role as a local residential community.
  • B. Bjørnevåg
    Bjørnevåg is a small Norwegian island associated with the coastal area of Flekkerøy in southern Norway.
  • C. Eigtved
    Eigtved is a Danish surname most notably associated with Nicolai Eigtved, an 18th-century architect central to the development of Copenhagen’s Rococo architecture.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Tømmervik
    Tømmervik is a small settlement located within the municipality of Sørreisa in Troms og Finnmark county, northern Norway.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:42 p.m.