Triple
T21273528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergensbanen |
E524327
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Hønefoss 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: Hønefoss station | Statement: [Bergensbanen, hasStation, Hønefoss station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hønefoss station Context triple: [Bergensbanen, hasStation, Hønefoss station]
-
A.
Hønefoss Station
chosen
Hønefoss Station is a railway station in the town of Hønefoss in Ringerike, Norway, serving as a regional transport hub on key rail lines connecting eastern and western Norway.
-
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.
Lillestrøm Station
Lillestrøm Station is a major railway hub in Lillestrøm, Norway, serving regional, intercity, and airport express trains in the Oslo area.
-
D.
Fetsund Station
Fetsund Station is a railway station in Fetsund, Norway, serving as a local stop on the Kongsvinger Line.
-
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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73655717c819092f71ed1920f52b5 |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.