Triple
T23499664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automatic Train Operation |
E571804
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | train automation technology |
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: train automation technology Context triple: [Automatic Train Operation, instanceOf, train automation technology]
-
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.
urban transit technology
Urban transit technology encompasses the systems, vehicles, infrastructure, and digital tools that enable efficient, safe, and sustainable movement of people within cities.
-
C.
locomotive technology innovation
Locomotive technology innovation encompasses the development and integration of advanced systems, materials, and designs that improve the efficiency, performance, sustainability, and safety of rail propulsion and operation.
-
D.
public transport technology
Public transport technology encompasses the systems, vehicles, infrastructure, and digital tools used to plan, operate, and optimize shared transportation services such as buses, trains, trams, and metros.
-
E.
autonomous driving technology
Autonomous driving technology encompasses the hardware, software, and algorithms that enable vehicles to perceive their environment, make driving decisions, and control motion with minimal or no human intervention.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 6:06 p.m.