Triple
T21907976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kāśikā-vṛtti |
E540988
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | classical Sanskrit text |
C1770
|
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: classical Sanskrit text Context triple: [Kāśikā-vṛtti, instanceOf, classical Sanskrit text]
-
A.
Sanskrit literature
chosen
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.
-
B.
classical Tamil literature
Classical Tamil literature encompasses the ancient poetic, philosophical, and didactic works composed primarily between 300 BCE and 300 CE in Tamil, including the Sangam corpus and later ethical and devotional texts that shaped South Indian culture and thought.
-
C.
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.
-
D.
classical language
A classical language is an ancient, historically significant language with a rich literary tradition that continues to influence later cultures, languages, and scholarship.
-
E.
Sanskrit phrase
A Sanskrit phrase is a meaningful expression composed of one or more Sanskrit words, often carrying precise grammatical structure and layered philosophical or cultural significance.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 7:39 p.m.