Triple

T6642218
Position Surface form Disambiguated ID Type / Status
Subject Søraust-Svalbard Nature Reserve E150612 entity
Predicate hasPart P35 FINISHED
Object Barentsøya E159301 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: Barentsøya | Statement: [Søraust-Svalbard Nature Reserve, hasPart, Barentsøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barentsøya
Context triple: [Søraust-Svalbard Nature Reserve, hasPart, Barentsøya]
  • A. Barentsøya chosen
    Barentsøya is a largely uninhabited Arctic island in the Svalbard archipelago of Norway, known for its remote tundra landscapes and polar wildlife.
  • B. Bjørnøya
    Bjørnøya is a remote, largely uninhabited Norwegian island in the Barents Sea, known for its rugged cliffs, rich birdlife, and role as the southernmost part of the Svalbard archipelago.
  • C. Bjørkøya
    Bjørkøya is an island located in the lake Norsjø in Telemark, Norway, known for its natural scenery and recreational use.
  • D. Brønnøya
    Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
  • E. Rebbenesøya
    Rebbenesøya is a coastal island in northern Norway, located in Troms county and known for its rugged landscapes, fishing communities, and Arctic maritime environment.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff5da8881909a512c1c82eb882a completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7944bdc81909ea991062dce619d completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2 p.m.