Triple

T20018229
Position Surface form Disambiguated ID Type / Status
Subject Aukra E494778 entity
Predicate borderedByWaterBody P212 FINISHED
Object Hustadvika (sea area) 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: Hustadvika (sea area) | Statement: [Aukra, borderedByWaterBody, Hustadvika (sea area)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hustadvika (sea area)
Context triple: [Aukra, borderedByWaterBody, Hustadvika (sea area)]
  • A. Hustadvika chosen
    Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
  • B. Vadheimsfjorden area
    The Vadheimsfjorden area is a deep fjord region in western Norway, known as the location of the greatest depths of the Sognefjord.
  • C. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • D. Knarrviki
    Knarrviki is a village in Vestland county, Norway, serving as the main local hub and seat of government for Alver Municipality.
  • E. Hamnvik
    Hamnvik is a small village in northern Norway that serves as the main settlement and service hub of Ibestad Municipality in Troms og Finnmark county.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.