Triple
T6194808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praśna Upanishad |
E138482
|
entity |
| Predicate | firstQuestionTopic |
P60677
|
FINISHED |
| Object | origin of creatures and prana |
—
|
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: origin of creatures and prana | Statement: [Praśna Upanishad, firstQuestionTopic, origin of creatures and prana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstQuestionTopic Context triple: [Praśna Upanishad, firstQuestionTopic, origin of creatures and prana]
-
A.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
B.
openingQuestion
Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
-
C.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
D.
openingTopic
chosen
Indicates the primary subject or theme that initiates a discussion, conversation, or document.
-
E.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
- 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.