Triple
T2977477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors North American manufacturing network |
E80432
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive manufacturing 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 network Context triple: [General Motors North American manufacturing network, instanceOf, automotive manufacturing network]
-
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.
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.
-
C.
automotive supplier
An automotive supplier is a company that provides parts, systems, materials, or services to vehicle manufacturers and other entities in the automotive industry.
-
D.
automotive joint venture
An automotive joint venture is a strategic business arrangement in which two or more companies collaborate to develop, produce, or distribute vehicles or related technologies while sharing resources, risks, and profits.
-
E.
car manufacturer
A car manufacturer is a company that designs, engineers, and assembles automobiles and related components for sale under one or more brand names.
- F. None of above. chosen
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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 8, 2026, 2:58 p.m.