Triple
T22309945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Island |
E551485
|
entity |
| Predicate | hasOfficialName |
P66
|
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: [Bear Island, hasOfficialName, Bjørnøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjørnøya Context triple: [Bear Island, hasOfficialName, Bjørnøya]
-
A.
Bjørnøya
Bjørnøya is an island in Vestland county, Norway, known for its scenic coastal landscape within the Bjørnafjorden area.
-
B.
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.
-
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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.