Triple
T24983629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shambhavopaya |
E625240
|
entity |
| Predicate | epistemicMode |
P144629
|
FINISHED |
| Object | direct experiential knowledge |
—
|
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: direct experiential knowledge | Statement: [Shambhavopaya, epistemicMode, direct experiential knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epistemicMode Context triple: [Shambhavopaya, epistemicMode, direct experiential knowledge]
-
A.
epistemicAttitude
Indicates the type or stance of a subject’s knowledge, belief, or certainty toward a proposition or statement.
-
B.
epistemicPosition
chosen
Indicates the stance, degree of certainty, or type of knowledge an agent holds regarding a particular proposition or claim.
-
C.
epistemicCondition
Indicates that one situation or proposition holds only under certain knowledge, belief, or informational conditions related to another.
-
D.
epistemologicalFocus
Indicates that something is primarily concerned with questions about knowledge, its nature, sources, justification, or limits.
-
E.
epistemicRole
Indicates the role an entity plays in a knowledge-related context, such as being a knower, source, or bearer of information or belief.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f449082d10819083b7bc99fe99023e |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:02 a.m.