Triple
T7378370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakta Upanishads |
E170183
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Sanskrit texts |
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: Sanskrit texts Context triple: [Shakta Upanishads, instanceOf, Sanskrit texts]
-
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.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
Created at: March 27, 2026, 3:08 p.m.