Triple
T15878104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørsta |
E385000
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Sunnmøre district |
—
|
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: Sunnmøre district | Statement: [Ørsta, region, Sunnmøre district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunnmøre district Context triple: [Ørsta, region, Sunnmøre district]
-
A.
Sunnmøre district
chosen
Sunnmøre district is a coastal region in the southwestern part of Møre og Romsdal county in Norway, known for its fjords, islands, and maritime communities.
-
B.
Nordmøre district
Nordmøre district is a traditional region in the northern part of Møre og Romsdal county in western Norway, known for its coastal landscapes, fjords, and cultural heritage.
-
C.
Nordfjord district
Nordfjord district is a coastal region in western Norway known for its deep fjords, glaciers, and mountainous landscapes.
-
D.
Ryfylke district
Ryfylke district is a traditional region in Rogaland county, southwestern Norway, known for its fjords, mountains, and scattered rural communities.
-
E.
Ringerike district
Ringerike district is a historic region in southeastern Norway known for its cultural heritage, distinctive landscape, and early medieval significance.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
Created at: April 10, 2026, 4:51 a.m.