Triple
T4512223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smriti literature |
E102078
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | post-Vedic Hindu text corpus |
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: post-Vedic Hindu text corpus Context triple: [Smriti literature, instanceOf, post-Vedic Hindu text corpus]
-
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.
Veda
Veda is a conceptual class representing a comprehensive body of sacred or foundational knowledge that serves as an authoritative source for understanding and guiding a particular domain or system.
-
C.
bibliographical corpus
A bibliographical corpus is a structured collection of bibliographic records or references, typically compiled for systematic analysis, cataloging, or research on published works.
-
D.
documentation corpus
A documentation corpus is a structured collection of written materials, such as manuals, guides, and reference texts, compiled to provide comprehensive information and support for a specific domain, product, or system.
-
E.
linguistic corpus
A linguistic corpus is a large, structured collection of authentic texts or transcribed speech used for analyzing language patterns, usage, and structure.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:01 p.m.