Triple
T19991394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmasutras |
E494072
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ancient Indian texts |
C9097
|
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: ancient Indian texts Context triple: [Dharmasutras, instanceOf, ancient Indian texts]
-
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.
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.
Hindu religious texts
Hindu religious texts are a diverse body of ancient and medieval scriptures—including the Vedas, Upanishads, epics like the Mahabharata and Ramayana, and numerous Puranas and devotional works—that articulate Hindu philosophy, mythology, rituals, and ethical teachings.
-
D.
ancient literature
chosen
Ancient literature encompasses the written works, myths, epics, religious texts, and philosophical writings produced by early civilizations that reveal their cultures, beliefs, and historical experiences.
-
E.
Upanishads collection
A curated set of ancient Indian philosophical texts from the Upanishads, organized for study, reference, and comparative exploration of their teachings.
- 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.