Triple
T6082407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drammen Line |
E135553
|
entity |
| Predicate | endStation |
P3569
|
FINISHED |
| Object | Drammen Station |
E466731
|
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: Drammen Station | Statement: [Drammen Line, endStation, Drammen Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drammen Station Context triple: [Drammen Line, endStation, Drammen Station]
-
A.
Drammen Station
chosen
Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
-
B.
Lysaker Station
Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
-
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.
Gjøvik Station
Gjøvik Station is a railway station in the town of Gjøvik, Norway, serving as the terminus for regional passenger services on the Gjøvik Line.
-
E.
Tøyen station
Tøyen station is an Oslo Metro station in the Tøyen neighborhood of Oslo, Norway, serving as a stop on the system’s Ring Line.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05786233c81909010a6c2f7e7dfda |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d4fa68c08190bb656aef231a9df0 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 22, 2026, 4:11 p.m.