Triple
T28807626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosch D-Jetronic |
E727422
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive fuel injection system |
C54967
|
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 fuel injection system Context triple: [Bosch D-Jetronic, instanceOf, automotive fuel injection system]
-
A.
internal combustion engine
An internal combustion engine is a machine that converts the chemical energy of fuel into mechanical work by burning the fuel-air mixture within its cylinders to produce controlled explosions that drive pistons or rotors.
-
B.
hydrocarbon fuel
A hydrocarbon fuel is a combustible substance composed primarily of hydrogen and carbon atoms that releases energy through oxidation, typically used for heating, power generation, and propulsion.
-
C.
internal combustion engine vehicle
An internal combustion engine vehicle is a motorized transport device that converts the chemical energy of fuel into mechanical work through controlled combustion within an engine to drive its wheels or propulsion system.
-
D.
gasoline-electric hybrid system
A gasoline-electric hybrid system is a powertrain that combines an internal combustion engine with one or more electric motors and a battery to improve fuel efficiency, reduce emissions, and optimize vehicle performance.
-
E.
automotive suspension system
An automotive suspension system is the integrated assembly of springs, dampers, linkages, and related components that connects a vehicle’s body to its wheels to control ride comfort, handling, and road shock isolation.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 28, 2026, 6:29 a.m.