Triple
T31692849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhāviveka |
E808837
|
entity |
| Predicate | viewOnEmptiness |
P4722
|
FINISHED |
| Object | held that all phenomena are empty of intrinsic nature (svabhāva) |
—
|
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: held that all phenomena are empty of intrinsic nature (svabhāva) | Statement: [Bhāviveka, viewOnEmptiness, held that all phenomena are empty of intrinsic nature (svabhāva)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnEmptiness Context triple: [Bhāviveka, viewOnEmptiness, held that all phenomena are empty of intrinsic nature (svabhāva)]
-
A.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
B.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
-
C.
viewOnState
chosen
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
viewOnGood
Indicates a positive or approving perspective held toward something.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 30, 2026, 11:09 p.m.