Triple
T19580010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skagerak Arena |
E489960
|
entity |
| Predicate | hasPublicTransitConnection |
P3791
|
FINISHED |
| Object | Skien railway 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: Skien railway station | Statement: [Skagerak Arena, hasPublicTransitConnection, Skien railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skien railway station Context triple: [Skagerak Arena, hasPublicTransitConnection, Skien railway station]
-
A.
Skien Station
chosen
Skien Station is the main railway station serving the town of Skien in Telemark, Norway, providing regional and intercity train connections.
-
B.
Lønsdal Station
Lønsdal Station is a railway station in Nordland county, Norway, serving the remote mountain area of Saltfjellet on the Nordland Line.
-
C.
Oppdal Station
Oppdal Station is a railway station in the village of Oppdal, Norway, serving as a stop on the Dovre Line between Oslo and Trondheim.
-
D.
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.
-
E.
Gaustad station
Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.