Triple
T15951947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVM-430 |
E386838
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cab signalling and speed control system |
C3558
|
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: cab signalling and speed control system Context triple: [TVM-430, instanceOf, cab signalling and speed control system]
-
A.
train control system
chosen
A train control system is a coordinated set of hardware and software components that monitor, regulate, and automate train movements to ensure safe, efficient, and reliable railway operations.
-
B.
cable car system
A cable car system is a transportation network in which vehicles are pulled by continuously moving cables, typically used to move people or goods along steep or inaccessible routes such as mountainsides or urban hills.
-
C.
intelligent transportation system component
An intelligent transportation system component is a hardware or software element that collects, processes, or communicates transportation-related data to optimize traffic flow, enhance safety, and improve overall system efficiency.
-
D.
transponder-based toll system
A transponder-based toll system is an automated electronic toll collection method where vehicles equipped with small radio-frequency devices are detected and charged as they pass through toll points without stopping.
-
E.
railway signaling system
A railway signaling system is an integrated set of trackside and onboard equipment, rules, and communication protocols that control train movements to ensure safe separation, efficient routing, and protection against collisions.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:53 a.m.