Triple
T2656349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-ZPass |
E54620
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | intelligent transportation system component |
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 component Context triple: [E-ZPass, instanceOf, intelligent transportation system component]
-
A.
advanced driver-assistance system
An advanced driver-assistance system is an integrated set of vehicle technologies that monitor the driving environment and vehicle status to assist the driver in controlling the car, enhancing safety, comfort, and efficiency.
-
B.
automated people mover vehicle
An automated people mover vehicle is a driverless, guided transit vehicle designed to transport passengers along a fixed route within confined areas such as airports, campuses, or urban centers.
-
C.
in-vehicle infotainment platform
An in-vehicle infotainment platform is an integrated hardware and software system that delivers multimedia, navigation, connectivity, and vehicle information services through the car’s user interfaces.
-
D.
internet infrastructure component
An internet infrastructure component is a foundational hardware or software element—such as routers, switches, servers, cables, or protocols—that enables the transmission, routing, and reliable delivery of data across interconnected networks.
-
E.
autonomous robotic vehicle
An autonomous robotic vehicle is a self-navigating mobile machine that perceives its environment, makes decisions, and moves without direct human control.
- F. None of above. chosen
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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
Created at: March 6, 2026, 9:53 p.m.