Triple
T19991397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmasutras |
E494072
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Smriti literature |
C16429
|
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: Smriti literature Context triple: [Dharmasutras, instanceOf, Smriti literature]
-
A.
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.
-
B.
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.
-
C.
Sutra literature
chosen
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.
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.
-
E.
Prakrit poetry collection
A Prakrit poetry collection is an anthology of verse composed in the Middle Indo-Aryan Prakrit languages, often featuring lyrical, romantic, and devotional themes that reflect classical Indian aesthetics and culture.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 11, 2026, 3:31 p.m.