Triple
T23351947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikna |
E592935
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Aust-Vikna |
—
|
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: Aust-Vikna | Statement: [Vikna, hasIsland, Aust-Vikna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aust-Vikna Context triple: [Vikna, hasIsland, Aust-Vikna]
-
A.
Ytter-Vikna
chosen
Ytter-Vikna is a large coastal island in Trøndelag county, Norway, known for its rugged landscape, fishing communities, and role as part of the Vikna archipelago.
-
B.
Bjerkvik
Bjerkvik is a small village in Narvik Municipality in Nordland county, northern Norway, situated at the head of the Herjangsfjord.
-
C.
Varanger Kven
Varanger Kven is a regional variety of the Kven language traditionally spoken by Kven communities in the Varanger area of northern Norway.
-
D.
Fløya
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
-
E.
Bispevika
Bispevika is a redeveloped waterfront district in Oslo, Norway, featuring modern residential, commercial, and cultural spaces along the city’s inner harbor.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a14e04c81909c007b97cf5378b6 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.