Triple
T20018786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rissa (former municipality) |
E494791
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Råkvåg |
—
|
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: Råkvåg | Statement: [Rissa (former municipality), hasSettlement, Råkvåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Råkvåg Context triple: [Rissa (former municipality), hasSettlement, Råkvåg]
-
A.
Råkvåg
chosen
Råkvåg is a coastal village in Trøndelag county, Norway, known for its traditional wooden waterfront buildings and maritime heritage.
-
B.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
C.
Lonevåg
Lonevåg is a village in Vestland county, Norway, serving as the main commercial and service hub of Osterøy island.
-
D.
Kårvåg
Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
-
E.
Hamnvåg
Hamnvåg is a small village in Troms og Finnmark county, Norway, known for serving as the local hub of municipal services for the surrounding island community.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623e40748190b1abb0ead9acab4e |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.