Triple
T31247420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota production network |
E796722
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive production system |
C12037
|
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 production system Context triple: [Toyota production network, instanceOf, automotive production system]
-
A.
automotive factory
An automotive factory is a large-scale industrial facility where vehicles and their components are systematically designed, manufactured, assembled, and tested using specialized machinery, robotics, and human labor.
-
B.
automotive manufacturing network
chosen
An automotive manufacturing network is an interconnected system of facilities, suppliers, logistics providers, and assembly plants that collaboratively design, produce, and deliver vehicles and components across regions or globally.
-
C.
automobile factory
An automobile factory is a large-scale industrial facility where raw materials and components are systematically assembled, tested, and finished into complete motor vehicles using coordinated machinery, labor, and production processes.
-
D.
industrial production system
An industrial production system is an organized arrangement of people, machines, materials, methods, and information designed to efficiently transform inputs into standardized goods or services at scale.
-
E.
automotive safety system
An automotive safety system is an integrated set of components and technologies designed to prevent accidents or reduce injury and damage when collisions occur.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:11 p.m.