Triple
T17088541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebbenesøya |
E414662
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Vannøya |
—
|
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: Vannøya | Statement: [Rebbenesøya, hasNearbyIsland, Vannøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vannøya Context triple: [Rebbenesøya, hasNearbyIsland, Vannøya]
-
A.
Vannøya
chosen
Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
-
B.
Valderøya
Valderøya is a village in Møre og Romsdal county, Norway, serving as the main settlement and hub of local services for the island municipality of Giske.
-
C.
Nørvøya
Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
-
D.
Vesterøy
Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
-
E.
Værøy
Værøy is a small, scenic island and fishing community in northern Norway, known for its dramatic coastal landscapes and part of the Lofoten archipelago.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:35 a.m.