Triple
T19314682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhaisajyaguru |
E483062
|
entity |
| Predicate | threePoisons |
P135557
|
FINISHED |
| Object | ignorance |
—
|
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: ignorance | Statement: [Bhaisajyaguru, threePoisons, ignorance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threePoisons Context triple: [Bhaisajyaguru, threePoisons, ignorance]
-
A.
दोषसिद्धि
Indicates a judicial relationship where an authority formally establishes and declares a person’s guilt for an alleged offense.
-
B.
thirdTemptation
Indicates the relationship in which an entity is subjected to or involved in the third in a sequence of temptations or tests.
-
C.
thirdPrecept
Indicates refraining from sexual misconduct or inappropriate sexual behavior in accordance with the third moral precept.
-
D.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
E.
viewOnDharma
Indicates a relationship where an entity holds a particular perspective, interpretation, or stance regarding Dharma (moral or religious duty/principle).
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cfec8c8190a118b327b1418150 |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:32 p.m.