Triple
T22279259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yājñavalkya–Gārgī dialogue |
E550687
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Upanishadic dialogue |
C46047
|
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: Upanishadic dialogue Context triple: [Yājñavalkya–Gārgī dialogue, instanceOf, Upanishadic dialogue]
-
A.
Platonic dialogue
A Platonic dialogue is a philosophical text, typically featuring Socrates, in which ideas are explored through question-and-answer conversations that probe definitions, assumptions, and the nature of knowledge and virtue.
-
B.
Vedantic treatise
A Vedantic treatise is a systematic philosophical work that explicates, analyzes, and interprets the core metaphysical, epistemological, and spiritual doctrines of Vedanta, often through commentary on foundational scriptures like the Upanishads, Bhagavad Gita, and Brahma Sutras.
-
C.
Upanishads collection
A curated set of ancient Indian philosophical texts from the Upanishads, organized for study, reference, and comparative exploration of their teachings.
-
D.
Ganapatya Upanishad
The Ganapatya Upanishad is a minor Upanishad of Hinduism dedicated to Lord Ganesha, expounding his nature as the supreme reality and source of all creation through mantras, symbolism, and philosophical teachings.
-
E.
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.
- F. None of above. chosen
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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:40 p.m.