Triple

T4251906
Position Surface form Disambiguated ID Type / Status
Subject Kirkenes E95872 entity
Predicate partOf P40 FINISHED
Object Norwegian Arctic E17350 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 | Statement: [Kirkenes, partOf, Norwegian Arctic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian Arctic
Context triple: [Kirkenes, partOf, Norwegian Arctic]
  • A. Northern Norway chosen
    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. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • C. Norwegian waters
    Norwegian waters are the maritime areas surrounding Norway, including its territorial sea and adjacent ocean zones in the North, Norwegian, and Barents Seas.
  • D. Sør-Varanger
    Sør-Varanger is a municipality in Troms og Finnmark county in far northeastern Norway, bordering Russia and Finland and known for its main town, Kirkenes.
  • E. Barents Sea
    The Barents Sea is a marginal sea of the Arctic Ocean off the northern coasts of Norway and Russia, known for its rich fisheries, petroleum resources, and strategic geopolitical importance.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ea059108190aa00f0f20673e0ac completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b780e0dc81909e63ac4ca1dd0a76 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.