Triple
T6194810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praśna Upanishad |
E138482
|
entity |
| Predicate | thirdQuestionTopic |
P5193
|
FINISHED |
| Object | relation of prana to waking, dream, and deep sleep |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: relation of prana to waking, dream, and deep sleep | Statement: [Praśna Upanishad, thirdQuestionTopic, relation of prana to waking, dream, and deep sleep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdQuestionTopic Context triple: [Praśna Upanishad, thirdQuestionTopic, relation of prana to waking, dream, and deep sleep]
-
A.
centralQuestion
chosen
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
B.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
C.
season3Subject
Indicates that the subject is associated with or pertains to the third season of a series or recurring event.
-
D.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
E.
guidingQuestionOf
Indicates that one item serves as a guiding or central question that frames, directs, or structures another item (such as a discussion, activity, or work).
- F. None of above.
Provenance (3 batches)
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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.