Triple
T18113287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vang |
E433534
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Vang i Valdres |
—
|
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: Vang i Valdres | Statement: [Vang, hasCapital, Vang i Valdres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vang i Valdres Context triple: [Vang, hasCapital, Vang i Valdres]
-
A.
Vang i Valdres
chosen
Vang i Valdres is a small village in Innlandet county, Norway, known as the central settlement of the Vang area in the traditional Valdres district.
-
B.
Vangsnes
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
C.
Vålebru
Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
-
D.
Vartdal
Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
-
E.
Flaskebekk
Flaskebekk is a small residential settlement and coastal area in Nesodden municipality in Viken county, Norway.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.