Triple
T32808154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agricultural Solutions |
E839071
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural technologies division |
C20472
|
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 technologies division Context triple: [Agricultural Solutions, instanceOf, agricultural technologies division]
-
A.
agricultural engineering department
An agricultural engineering department is an academic and research unit that applies engineering principles to improve agricultural production, processing, and resource management systems.
-
B.
agricultural infrastructure
Agricultural infrastructure comprises the physical and organizational systems—such as irrigation networks, storage facilities, transportation, and processing plants—that support the efficient production, handling, and distribution of agricultural goods.
-
C.
agricultural innovation
chosen
Agricultural innovation is the development and application of new ideas, technologies, and practices that improve the efficiency, sustainability, and productivity of farming and food systems.
-
D.
U.S. Department of Agriculture research station
A U.S. Department of Agriculture research station is a federally operated facility where scientists conduct agricultural research, testing, and field trials to improve farming practices, food production, and natural resource management.
-
E.
agricultural research coordination framework
An agricultural research coordination framework is a structured system that aligns, integrates, and manages research activities, resources, and stakeholders across institutions and sectors to address agricultural challenges efficiently and coherently.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:15 a.m.