Triple
T13471593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Averøy Municipality |
E311640
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kårvåg |
E311644
|
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: Kårvåg | Statement: [Averøy Municipality, hasSettlement, Kårvåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kårvåg Context triple: [Averøy Municipality, hasSettlement, Kårvåg]
-
A.
Kårvåg
chosen
Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
-
B.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
-
C.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
D.
Brattvåg
Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
-
E.
Bjerkvik
Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3239c3bc8190a6838fe8f2f016bf |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 9:42 p.m.