Triple
T5086898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhatta school |
E114658
|
entity |
| Predicate | viewOnPerception |
P61217
|
FINISHED |
| Object | perception as a valid means of knowledge (pramana) |
—
|
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: perception as a valid means of knowledge (pramana) | Statement: [Bhatta school, viewOnPerception, perception as a valid means of knowledge (pramana)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnPerception Context triple: [Bhatta school, viewOnPerception, perception as a valid means of knowledge (pramana)]
-
A.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
B.
viewOnReality
Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of reality.
-
C.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
D.
viewOnObject
Indicates that one entity directs its visual attention toward or observes another entity as an object of viewing.
-
E.
viewOnSelf
Indicates a perspective where an entity directs its view, evaluation, or consideration toward itself.
- F. None of above. chosen
Provenance (4 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751fb6dc8190be674c92a17e8c0e |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:40 p.m.