Triple
T2652387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safety Measurement System |
E53929
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data-driven safety assessment tool |
C3818
|
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: data-driven safety assessment tool Context triple: [Safety Measurement System, instanceOf, data-driven safety assessment tool]
-
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.
accident investigation
Accident investigation is the systematic process of collecting and analyzing evidence about an incident to determine its causes and contributing factors, with the goal of preventing similar events in the future.
-
C.
transportation safety agency
A transportation safety agency is an organization responsible for regulating, monitoring, and enforcing safety standards across transportation systems to prevent accidents and protect the public.
-
D.
computational analysis toolset
chosen
A computational analysis toolset is an integrated collection of software tools, libraries, and frameworks designed to process, analyze, and interpret data through algorithmic and statistical methods.
-
E.
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.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
Created at: March 6, 2026, 9:53 p.m.