Triple

T16027182
Position Surface form Disambiguated ID Type / Status
Subject Bremanger E388745 entity
Predicate hasSettlement P1068 FINISHED
Object Kalvåg E1208942 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: Kalvåg | Statement: [Bremanger, hasSettlement, Kalvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalvåg
Context triple: [Bremanger, hasSettlement, Kalvåg]
  • A. Kalvåg chosen
    Kalvåg is a coastal fishing village in Bremanger Municipality in Vestland county, Norway, known for its well-preserved wooden waterfront buildings and maritime heritage.
  • B. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • C. Vikevåg
    Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
  • D. Solevåg
    Solevåg is a village in Sula Municipality in Møre og Romsdal county, Norway, known for its coastal setting near the town of Ålesund.
  • E. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03564e0d9c8190948d72ec5bca046c completed May 12, 2026, 4:33 p.m.
Created at: April 10, 2026, 4:56 a.m.