Triple
T17109791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawasaki Heavy Industries |
E415195
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Manufacturing company |
C136
|
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: Manufacturing company Context triple: [Kawasaki Heavy Industries, instanceOf, Manufacturing company]
-
A.
manufacturing company
chosen
A manufacturing company is an organization that transforms raw materials or components into finished goods through industrial processes, machinery, and labor for sale to other businesses or consumers.
-
B.
multinational chemical company
A multinational chemical company is a large, globally operating enterprise that researches, manufactures, and distributes a wide range of chemical products and materials across multiple industries and countries.
-
C.
industrial automation company
An industrial automation company designs, develops, and implements control systems, robotics, and software solutions to optimize and automate manufacturing and industrial processes.
-
D.
automobile body manufacturer
An automobile body manufacturer is a company that designs, fabricates, and assembles the structural and exterior body components of vehicles for automakers.
-
E.
industrial holding company
An industrial holding company is a parent corporation that owns controlling interests in multiple industrial or manufacturing businesses, managing them strategically while typically leaving day-to-day operations to subsidiary management.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:35 a.m.