Triple
T5086854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabhakara school |
E114657
|
entity |
| Predicate | opposedViewOf |
P437
|
FINISHED |
| Object | Advaita Vedanta on nature of ultimate reality |
—
|
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: Advaita Vedanta on nature of ultimate reality | Statement: [Prabhakara school, opposedViewOf, Advaita Vedanta on nature of ultimate reality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedViewOf Context triple: [Prabhakara school, opposedViewOf, Advaita Vedanta on nature of ultimate reality]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
notableViewpoints
Indicates that an entity is associated with significant or noteworthy viewpoints, perspectives, or opinions.
-
C.
opposedQualityTo
Indicates that one quality stands in direct opposition or contrast to another quality.
-
D.
opposedTitle
Indicates that one entity holds a title, position, or role that is in opposition or rivalry to the title, position, or role held by another entity.
-
E.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
- 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_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. |
Created at: March 20, 2026, 1:40 p.m.