Triple
T1823794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Wayne Assembly Plant |
E40604
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | General Motors manufacturing facility |
C2727
|
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: General Motors manufacturing facility Context triple: [Fort Wayne Assembly Plant, instanceOf, General Motors manufacturing facility]
-
A.
General Motors factory
chosen
A General Motors factory is a large-scale automotive manufacturing facility where GM designs, assembles, and tests vehicles and related components using industrial 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.
General Motors platform
A General Motors platform is a shared underlying vehicle architecture, including structural, mechanical, and sometimes electronic components, used across multiple GM models to streamline design, production, and costs.
-
D.
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.
-
E.
Tesla factory
A Tesla factory is a large-scale, highly automated manufacturing facility where Tesla designs, produces, and assembles electric vehicles and related components such as batteries and powertrains.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:32 p.m.