Triple
T26980729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Research Centres in agriculture |
E679594
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural research institution network |
C18844
|
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 research institution network Context triple: [National Research Centres in agriculture, instanceOf, agricultural research institution network]
-
A.
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.
-
B.
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.
-
C.
agricultural research funding program
An agricultural research funding program is an organized initiative that allocates financial resources to support scientific studies and innovation aimed at improving agricultural productivity, sustainability, and resilience.
-
D.
agricultural information service
An agricultural information service is a system or organization that collects, processes, and disseminates timely, relevant data and advice to farmers and stakeholders to support informed agricultural decision-making.
-
E.
applied research institute
chosen
An applied research institute is an organization that conducts practical, problem-focused scientific and technical investigations to develop solutions, technologies, or processes for real-world applications.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 27, 2026, 6:45 a.m.