Triple
T12189049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Deere |
E290412
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | forestry equipment manufacturer |
C18852
|
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: forestry equipment manufacturer Context triple: [John Deere, instanceOf, forestry equipment manufacturer]
-
A.
forestry company
chosen
A forestry company is a business organization that manages, harvests, and regenerates forest resources for products and services while balancing economic, environmental, and social considerations.
-
B.
heavy equipment manufacturer
A heavy equipment manufacturer is a company that designs, engineers, and produces large-scale machinery and vehicles used in construction, mining, agriculture, and other industrial applications.
-
C.
forestry engineer
A forestry engineer is a professional who applies engineering principles and environmental science to manage, conserve, and sustainably develop forest resources and related natural ecosystems.
-
D.
marine equipment manufacturer
A marine equipment manufacturer is a company that designs, produces, and supplies specialized machinery, components, and systems used in the construction, operation, and maintenance of ships, offshore structures, and other marine applications.
-
E.
irrigation equipment manufacturer
An irrigation equipment manufacturer is a company that designs, produces, and supplies systems and components used to deliver water efficiently to agricultural, landscaping, or industrial areas.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.