Triple
T32383115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ETC (Electronic Toll Collection) |
E827474
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | intelligent transportation system |
C11412
|
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: intelligent transportation system Context triple: [ETC (Electronic Toll Collection), instanceOf, intelligent transportation system]
-
A.
intelligent transportation system component
chosen
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.
-
B.
public transport information system
A public transport information system is a software platform that collects, processes, and disseminates real-time and scheduled data about public transit services to passengers, operators, and other stakeholders.
-
C.
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.
-
D.
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.
-
E.
Smart vehicle
A smart vehicle is an automobile equipped with advanced sensors, connectivity, and automated systems that enable it to monitor its environment, assist or automate driving tasks, and communicate with other devices or infrastructure to enhance safety, efficiency, and user experience.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:51 a.m.