Triple
T16302615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyo Cork Kogyo Co., Ltd. |
E395828
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive industry precursor |
C37245
|
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 industry precursor Context triple: [Toyo Cork Kogyo Co., Ltd., instanceOf, automotive industry precursor]
-
A.
automotive industry term
An automotive industry term is a specialized word or phrase used to describe concepts, components, processes, or standards specific to the design, manufacture, marketing, and servicing of motor vehicles.
-
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 entrepreneur
An automotive entrepreneur is an individual who identifies opportunities and builds innovative businesses within the automotive industry, spanning vehicle design, manufacturing, technology, services, or mobility solutions.
-
D.
era of automotive history
An era of automotive history is a distinct period characterized by prevailing technologies, design trends, regulations, and cultural influences that shape how cars are produced, used, and perceived.
-
E.
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.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:06 a.m.