Triple
T26980776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krishi Vigyan Kendras |
E679595
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agricultural extension center network |
C27651
|
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 extension center network Context triple: [Krishi Vigyan Kendras, instanceOf, agricultural extension center network]
-
A.
university extension service
A university extension service is an outreach arm of a university that delivers research-based education, resources, and support to communities, industries, and individuals beyond the campus.
-
B.
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.
-
C.
agricultural center
chosen
An agricultural center is a facility or organization that supports farming and rural development through research, education, resource distribution, and coordination of agricultural activities.
-
D.
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.
-
E.
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.
- 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.