Triple
T9873748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil Nadu Agriculture Department |
E240022
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | agriculture department |
C6266
|
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: agriculture department Context triple: [Tamil Nadu Agriculture Department, instanceOf, agriculture department]
-
A.
department of agriculture
chosen
A department of agriculture is a governmental or organizational body responsible for overseeing agricultural policies, supporting farmers, managing food safety and supply, and promoting sustainable use of natural resources in the agricultural sector.
-
B.
agricultural fund
An agricultural fund is an investment vehicle that pools capital to invest in agriculture-related assets such as farmland, agribusiness companies, commodities, or agricultural infrastructure to generate returns linked to the agricultural sector.
-
C.
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.
-
D.
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.
-
E.
agricultural school
An agricultural school is an educational institution that provides specialized training and instruction in farming, agronomy, animal husbandry, and related agricultural sciences and technologies.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:37 p.m.