Triple
T2300104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. S. Swaminathan Research Foundation |
E51710
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | non-profit research organization |
C187
|
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: non-profit research organization Context triple: [M. S. Swaminathan Research Foundation, instanceOf, non-profit research organization]
-
A.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
-
B.
nonprofit organization
A nonprofit organization is an entity formed for purposes other than generating profit, using any surplus revenues to further its mission or public benefit rather than distributing them to owners or shareholders.
-
C.
research organization
chosen
A research organization is an institution that systematically investigates specific questions or problems to generate new knowledge, technologies, or insights, often within scientific, academic, or applied domains.
-
D.
research funding organization
A research funding organization is an entity that allocates financial resources and support to scientific or scholarly projects, typically through competitive grants, to advance knowledge and innovation.
-
E.
public research institution
A public research institution is a government-funded organization dedicated to advancing knowledge and innovation through systematic investigation, experimentation, and dissemination of findings for the benefit of society.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
Created at: March 4, 2026, 7:49 p.m.