Triple
T13292002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bremsnes |
E316580
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | island of Averøya |
E79229
|
NE FINISHED |
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: island of Averøya | Statement: [Bremsnes, locatedOn, island of Averøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: island of Averøya Context triple: [Bremsnes, locatedOn, island of Averøya]
-
A.
Averøya
chosen
Averøya is a scenic Norwegian island known for its coastal landscapes and its location along the famous Atlantic Ocean Road in Western Norway.
-
B.
Storøya island
Storøya island is a small, remote Arctic island in the Svalbard archipelago of Norway, known for its polar wildlife and harsh, icy environment.
-
C.
Rolvsøy island
Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
-
D.
Eigerøy island
Eigerøy island is a coastal island in southwestern Norway known for its rugged landscape, fishing communities, and proximity to the town of Egersund.
-
E.
Vestvågøya island
Vestvågøya island is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99078bcf0819083195fb556bcacb2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46686c288190a51847f86785568a |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 9:27 p.m.