Triple
T12189047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Deere |
E290412
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural machinery manufacturer |
C22106
|
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: agricultural machinery manufacturer Context triple: [John Deere, instanceOf, agricultural machinery manufacturer]
-
A.
heavy equipment manufacturer
chosen
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.
-
B.
agricultural business
An agricultural business is an enterprise that produces, processes, or distributes agricultural products—such as crops, livestock, or related goods and services—for commercial purposes within the food and fiber supply chain.
-
C.
manufacturing company
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.
-
D.
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.
-
E.
commercial vehicle manufacturer
A commercial vehicle manufacturer is a company that designs, produces, and sells vehicles intended primarily for business use, such as trucks, buses, and vans, to transport goods or passengers.
- 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.