Triple
T8202422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongfeng Motor Corporation (facilities) |
E191610
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive manufacturing plant network |
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 manufacturing plant network Context triple: [Dongfeng Motor Corporation (facilities), instanceOf, automotive manufacturing plant network]
-
A.
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.
-
B.
manufacturing network
A manufacturing network is an interconnected system of facilities, suppliers, technologies, and logistics that collaboratively plan, produce, and distribute goods across multiple locations.
-
C.
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.
-
D.
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.
-
E.
manufacturing plant
A manufacturing plant is a large-scale industrial facility where raw materials are transformed through organized processes, machinery, and labor into finished goods or components.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:43 p.m.