Triple

T20705937
Position Surface form Disambiguated ID Type / Status
Subject Governor’s police department E508902 entity
Predicate regionServed P82 FINISHED
Object Bjørnøya NE NERFINISHED

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: Bjørnøya | Statement: [Governor’s police department, regionServed, Bjørnøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjørnøya
Context triple: [Governor’s police department, regionServed, Bjørnøya]
  • A. Bjørnøya chosen
    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.
  • B. Bjørnøya
    Bjørnøya is an island in Vestland county, Norway, known for its scenic coastal landscape within the Bjørnafjorden area.
  • C. Bjørøya
    Bjørøya is an island located within the coastal municipality of Flatanger in Trøndelag county, Norway, known for its rugged coastline and scenic natural surroundings.
  • D. Bjørkøya
    Bjørkøya is an island located in the lake Norsjø in Telemark, Norway, known for its natural scenery and recreational use.
  • 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 (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18fc8ec8190b020d540ae334c16 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:13 p.m.