Triple

T5098085
Position Surface form Disambiguated ID Type / Status
Subject Møre og Romsdal E114915 entity
Predicate containsSettlement P847 FINISHED
Object Fosnavåg E153228 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: Fosnavåg | Statement: [Møre og Romsdal, containsSettlement, Fosnavåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosnavåg
Context triple: [Møre og Romsdal, containsSettlement, Fosnavåg]
  • A. Fosnavåg chosen
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Brattvåg
    Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
  • C. Fetsund
    Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
  • D. 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.
  • E. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf410eb03c81909aca9aca27cc82c1 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 1:40 p.m.