Triple
T6612650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratyabhijñā school |
E149272
|
entity |
| Predicate | viewOnBondage |
P72472
|
FINISHED |
| Object | bondage is due to ignorance of one’s true identity as Śiva |
—
|
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: bondage is due to ignorance of one’s true identity as Śiva | Statement: [Pratyabhijñā school, viewOnBondage, bondage is due to ignorance of one’s true identity as Śiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnBondage Context triple: [Pratyabhijñā school, viewOnBondage, bondage is due to ignorance of one’s true identity as Śiva]
-
A.
viewOnPleasure
Indicates a subject’s stance, opinion, or attitude toward the concept or experience of pleasure.
-
B.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or entity.
-
C.
viewOnWomen
Indicates a person's attitudes, beliefs, or perspectives regarding women and gender roles.
-
D.
viewOfDevil
Indicates a depiction, perspective, or representation in which the subject is shown or understood as the devil or in relation to the devil.
-
E.
viewOfBody
Indicates a visual representation or perspective that shows the body or a specific part of the body.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cf3683d08190b19e2aad30f2800f |
completed | March 27, 2026, 6:40 p.m. |
Created at: March 27, 2026, 1:57 p.m.