Triple

T6690000
Position Surface form Disambiguated ID Type / Status
Subject Edgeøya E152599 entity
Predicate region P40 FINISHED
Object Arctic Norway E27348 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: Arctic Norway | Statement: [Edgeøya, region, Arctic Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arctic Norway
Context triple: [Edgeøya, region, Arctic Norway]
  • A. Northern Norway
    Northern Norway is the sparsely populated, Arctic-influenced northern region of Norway known for its dramatic coastal landscapes, midnight sun, and frequent displays of the Northern Lights.
  • B. Svalbard chosen
    Svalbard is a remote Arctic archipelago known for its rugged glaciers, polar bear habitat, and role as a center for polar research and environmental monitoring.
  • C. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • D. Lapland
    Lapland is a sparsely populated Arctic region in northern Finland known for its subarctic wilderness, indigenous Sámi culture, and reputation as the home of Santa Claus.
  • E. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b15149408190ac679d037d87cba7 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b519148190a810d0eee7cda734 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:04 p.m.