Triple

T13118869
Position Surface form Disambiguated ID Type / Status
Subject Vadsø Museum – Ruija kvenmuseum E311670 entity
Predicate regionServed P82 FINISHED
Object Varanger E311665 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: Varanger | Statement: [Vadsø Museum – Ruija kvenmuseum, regionServed, Varanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varanger
Context triple: [Vadsø Museum – Ruija kvenmuseum, regionServed, Varanger]
  • A. Varanger Peninsula chosen
    The Varanger Peninsula is a large, sparsely populated peninsula in northeastern Norway known for its Arctic landscapes, rich birdlife, and coastal fishing communities.
  • B. Varanger Kven
    Varanger Kven is a regional variety of the Kven language traditionally spoken by Kven communities in the Varanger area of northern Norway.
  • C. 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.
  • D. Lofoten
    Lofoten is a dramatic Arctic archipelago in Norway known for its steep mountains, sheltered bays, fishing villages, and views of the midnight sun and Northern Lights.
  • E. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d205408190883b67739d5efaa7 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:06 p.m.