Triple
T19735626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyayakalika |
E473970
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Indian logic text |
C40153
|
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: Indian logic text Context triple: [Nyayakalika, instanceOf, Indian logic text]
-
A.
Samkhya text
A Samkhya text is a philosophical work rooted in the ancient Indian Samkhya system that systematically analyzes reality through the dual principles of purusha (consciousness) and prakriti (primordial matter) to explain cosmology, psychology, and liberation.
-
B.
Sanskrit literature
Sanskrit literature is the body of classical and post-classical writings in the Sanskrit language, encompassing religious scriptures, epic poetry, drama, philosophy, science, and aesthetics that shaped much of South Asian intellectual and cultural history.
-
C.
Indian literature
Indian literature encompasses the diverse body of written and oral works produced in the many languages of the Indian subcontinent, reflecting its rich cultural, religious, and historical traditions from ancient times to the present.
-
D.
Nyaya text
chosen
A Nyaya text is a classical Indian philosophical work that systematically presents and analyzes logic, epistemology, and methods of valid reasoning according to the Nyaya school.
-
E.
Sutra literature
Sutra literature is a body of sacred texts, primarily in Hinduism, Buddhism, and Jainism, composed in concise aphoristic form to systematically present spiritual teachings, doctrines, and practices.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:47 p.m.