Triple
T20707679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raumabanen |
E508946
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Åndalsnes Station |
—
|
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: Åndalsnes Station | Statement: [Raumabanen, hasStation, Åndalsnes Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åndalsnes Station Context triple: [Raumabanen, hasStation, Åndalsnes Station]
-
A.
Åndalsnes Station
chosen
Åndalsnes Station is a railway terminus in the town of Åndalsnes, Norway, known as a scenic gateway to the Romsdalen valley and surrounding fjord and mountain landscapes.
-
B.
Finneidfjord Station
Finneidfjord Station is a small railway stop serving the village of Finneidfjord in the municipality of Hemnes in Nordland county, Norway.
-
C.
Vikersund Station
Vikersund Station is a railway station in Vikersund, Norway, serving as a stop on the Randsfjord Line and providing regional passenger rail connections.
-
D.
Årnes Station
Årnes Station is a railway station serving the village of Årnes in Nes municipality in Akershus, Norway, providing regional rail connections to the surrounding area.
-
E.
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.