Triple
T17846529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågsfjorden |
E445676
|
entity |
| Predicate | hasCoastlineOn |
P212
|
FINISHED |
| Object | Rolløya |
—
|
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: Rolløya | Statement: [Vågsfjorden, hasCoastlineOn, Rolløya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolløya Context triple: [Vågsfjorden, hasCoastlineOn, Rolløya]
-
A.
Rolløya
chosen
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
-
B.
Rødøy
Rødøy is a scenic island in northern Norway known for its dramatic coastal landscapes, fishing traditions, and views of the surrounding Helgeland archipelago.
-
C.
Mosterøy
Mosterøy is an island in Norway known for its coastal landscape and traditional West Norwegian island community.
-
D.
Sollerøya
Sollerøya is an island located in Lake Femunden, one of Norway’s largest inland lakes, known for its remote, natural setting.
-
E.
Tromøya
Tromøya is a large island off Norway’s southern coast, known for its scenic landscapes and proximity to the town of Arendal.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.