Triple
T15980227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MR-73 |
E387552
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | rubber-tired electric multiple unit train |
C19545
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: rubber-tired electric multiple unit train Context triple: [MR-73, instanceOf, rubber-tired electric multiple unit train]
-
A.
diesel-electric multiple unit family
A diesel-electric multiple unit family is a group of closely related self-propelled rail vehicles that use onboard diesel engines to generate electricity for traction motors, sharing common design, components, and performance characteristics.
-
B.
rail vehicle
A rail vehicle is a wheeled conveyance designed to operate on railway tracks for transporting passengers, freight, or performing specialized rail-related tasks.
-
C.
rubber-tired transit system
chosen
A rubber-tired transit system is a guided public transportation mode in which vehicles run on rubber tires along a dedicated roadway or track, often combining bus-like flexibility with rail-like guidance and capacity.
-
D.
light rail vehicle
A light rail vehicle is a rail-based transit vehicle designed for urban and suburban passenger service, typically operating on dedicated or shared tracks with frequent stops and moderate capacity.
-
E.
rapid transit vehicle
A rapid transit vehicle is a high-capacity, electrically powered rail car or train designed to provide frequent, fast, and reliable urban or suburban passenger transportation on dedicated or grade-separated tracks.
- F. None of above.
Provenance (1 batch)
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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:54 a.m.