Triple
T15077032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fjell municipality |
E380030
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Bjorøy |
—
|
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: Bjorøy | Statement: [Fjell municipality, hasSettlement, Bjorøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjorøy Context triple: [Fjell municipality, hasSettlement, Bjorøy]
-
A.
Bjorøy
chosen
Bjorøy is a small Norwegian island known for its coastal landscape and residential community in Vestland county.
-
B.
Børøya
Børøya is a small Norwegian island in Nordland county that lies near Hadseløya and is part of the Vesterålen archipelago.
-
C.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
-
D.
Spjærøy
Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
-
E.
Andøy
Andøy is a municipality and island area in Nordland county, Norway, known for its Arctic landscapes, fishing communities, and whale-watching opportunities.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 3:03 a.m.