Triple
T804574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boss |
E17400
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | self-driving car |
C1018
|
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: self-driving car Context triple: [Boss, instanceOf, self-driving car]
-
A.
autonomous vehicle project
An autonomous vehicle project is an organized effort to design, develop, test, and deploy self-driving systems that enable vehicles to perceive their environment, make driving decisions, and operate safely with minimal or no human intervention.
-
B.
remotely operated vehicle
A remotely operated vehicle is an unmanned, tethered or wirelessly controlled machine used to perform tasks or gather data in environments that are hazardous, inaccessible, or impractical for direct human presence.
-
C.
sport utility vehicle
A sport utility vehicle is a versatile passenger vehicle that combines elements of on-road cars and off-road trucks, typically offering higher ground clearance, spacious interiors, and optional all-wheel or four-wheel drive for varied driving conditions.
-
D.
automobile model
chosen
An automobile model is a specific version of a vehicle produced by a manufacturer, defined by a distinct combination of design, features, and specifications that differentiates it from other vehicles in the product lineup.
-
E.
pilotless aircraft
A pilotless aircraft is an unmanned aerial vehicle that operates without an onboard human pilot, controlled either remotely or autonomously via onboard systems.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:38 p.m.