Triple
T13239996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bø |
E315255
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Vesterålen region |
E80150
|
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: Vesterålen region | Statement: [Bø, partOf, Vesterålen region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesterålen region Context triple: [Bø, partOf, Vesterålen region]
-
A.
Vesterålen district
Vesterålen district is a coastal region in northern Norway known for its dramatic islands, rich fishing traditions, and whale-watching opportunities.
-
B.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
-
C.
Vesterålen
chosen
Vesterålen is a scenic archipelago in northern Norway known for its dramatic coastal landscapes, rich fishing traditions, and excellent whale-watching opportunities.
-
D.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
E.
Lindesnes region
The Lindesnes region is a coastal area in southern Norway known for its rugged shoreline, maritime heritage, and the iconic Lindesnes Lighthouse at Norway’s southernmost point.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c6797c819090bfcc9a5b62ac1c |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:23 p.m.