Triple
T5186530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Autobidder |
E117044
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | real-time control software |
C12526
|
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: real-time control software Context triple: [Tesla Autobidder, instanceOf, real-time control software]
-
A.
central control system
A central control system is a coordinating entity that monitors, manages, and directs the operations of interconnected components or subsystems to achieve overall system objectives.
-
B.
embedded software platform
chosen
An embedded software platform is an integrated collection of software components, tools, and runtime services that provide a standardized environment for developing, deploying, and managing applications on resource-constrained embedded devices.
-
C.
train control system
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.
-
D.
control systems engineer
A control systems engineer designs, analyzes, and optimizes automated systems that regulate the behavior of dynamic processes using feedback, sensors, and control algorithms.
-
E.
real-time rendering technology
Real-time rendering technology is a class of systems and algorithms that generate and display interactive, visually coherent images or scenes at high frame rates, typically for applications like games, simulations, and virtual reality.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
Created at: March 20, 2026, 1:46 p.m.