Triple
T14379238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennesøy |
E356556
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Vikevåg |
E1131778
|
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: Vikevåg | Statement: [Rennesøy, capital, Vikevåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikevåg Context triple: [Rennesøy, capital, Vikevåg]
-
A.
Vikevåg
chosen
Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
-
B.
Kjerknesvågen
Kjerknesvågen is a small coastal village in the municipality of Inderøy in Trøndelag county, Norway, known for its scenic fjordside setting and rural character.
-
C.
Vikersund
Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
-
D.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
-
E.
Sørvågen
Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db810c481908dde925ff90f3fa0 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:16 a.m.