Triple
T15585328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engie |
E374604
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive diagnostics app |
C16727
|
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: automotive diagnostics app Context triple: [Engie, instanceOf, automotive diagnostics app]
-
A.
vehicle companion app
chosen
A vehicle companion app is a mobile application that connects to a vehicle to provide real-time status, remote control features, trip information, and maintenance insights to the driver.
-
B.
vehicle platform
A vehicle platform is a shared structural and mechanical foundation, including chassis, powertrain, and key components, upon which multiple vehicle models can be built.
-
C.
Automotive technology
Automotive technology encompasses the design, development, operation, and maintenance of motor vehicles and their supporting systems, including engines, electronics, safety features, and emerging innovations like electric and autonomous driving.
-
D.
automobile terminal
An automobile terminal is a facility or system that manages the arrival, processing, storage, and dispatch of vehicles, often serving as a hub for logistics, distribution, or passenger services.
-
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 4:11 a.m.