Triple
T10777772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akinwumi Adesina |
E254240
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural development expert |
C1647
|
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 development expert Context triple: [Akinwumi Adesina, instanceOf, agricultural development expert]
-
A.
agricultural expert
chosen
An agricultural expert is a professional who applies scientific knowledge and practical experience to optimize crop and livestock production, manage natural resources sustainably, and advise stakeholders on best farming practices.
-
B.
agricultural study
An agricultural study is a systematic investigation focused on understanding and improving farming practices, crop and livestock production, and the sustainable use of natural resources in agriculture.
-
C.
development expert
A development expert is a professional who applies specialized knowledge, tools, and methodologies to plan, implement, and optimize projects or programs that drive sustainable growth and improvement in a specific domain or region.
-
D.
agricultural innovation
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.
-
E.
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.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:16 p.m.