Triple
T6194811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praśna Upanishad |
E138482
|
entity |
| Predicate | fourthQuestionTopic |
P12351
|
FINISHED |
| Object | states of consciousness and the inner self |
—
|
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: states of consciousness and the inner self | Statement: [Praśna Upanishad, fourthQuestionTopic, states of consciousness and the inner self]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthQuestionTopic Context triple: [Praśna Upanishad, fourthQuestionTopic, states of consciousness and the inner self]
-
A.
fourthPartSubject
Indicates that the subject is the fourth part or component within a larger ordered whole or sequence.
-
B.
season4Subject
Indicates that one entity serves as the subject or main focus of the fourth season of another entity (such as a series or show).
-
C.
questionType
chosen
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
D.
fourthPartTitle
Indicates that the specified title is the fourth part in a sequence or multi-part work.
-
E.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
- 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.