Triple
T13622851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Værøy |
E325498
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sørland |
E1191410
|
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: Sørland | Statement: [Værøy, hasSettlement, Sørland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sørland Context triple: [Værøy, hasSettlement, Sørland]
-
A.
Sørland
chosen
Sørland is the main village and administrative center of the island municipality of Værøy in Nordland county, Norway.
-
B.
Agder
Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
-
C.
Trøndelag
Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
-
D.
Jæren region
The Jæren region is a coastal area in southwestern Norway known for its flat, fertile farmland, long sandy beaches, and the city of Stavanger as its main urban center.
-
E.
Rogaland
Rogaland is a county in southwestern Norway known for its rugged coastline, fjords, and the oil industry centered around the city of Stavanger.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9b0b648190afee93121483f45f |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb75ea708190a30153c76cde8e79 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 9, 2026, 9:50 p.m.