Triple

T6589056
Position Surface form Disambiguated ID Type / Status
Subject Barentsøya E159301 entity
Predicate partOf P40 FINISHED
Object Norwegian Arctic territories 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: Norwegian Arctic territories | Statement: [Barentsøya, partOf, Norwegian Arctic territories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian Arctic territories
Context triple: [Barentsøya, partOf, Norwegian Arctic territories]
  • A. 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.
  • B. Greenland and Svalbard
    Greenland and Svalbard are two large Arctic territories—Greenland being the world’s largest island under Danish sovereignty and Svalbard a Norwegian archipelago—separated by frigid northern seas.
  • C. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • D. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • E. Sápmi
    Sápmi is the traditional homeland of the Sámi people, spanning northern parts of Norway, Sweden, Finland, and Russia’s Kola Peninsula.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeb201e88190808cf5779349f96c completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42b72c481909f582f4f5b07e3d9 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:55 p.m.