Triple
T34021277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Āryadeva |
E872387
|
entity |
| Predicate | aimOfTeachings |
P78379
|
FINISHED |
| Object | removal of ignorance and afflictive emotions |
—
|
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: removal of ignorance and afflictive emotions | Statement: [Āryadeva, aimOfTeachings, removal of ignorance and afflictive emotions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfTeachings Context triple: [Āryadeva, aimOfTeachings, removal of ignorance and afflictive emotions]
-
A.
focusOfTeachings
Indicates that the object is the primary subject or central theme emphasized in the teachings of the subject.
-
B.
developsTeachingsOf
Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
-
C.
targetsTeaching
Indicates that one entity is the intended focus or recipient of another entity’s teaching efforts or instructional activities.
-
D.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
E.
goalOfDoctrine
chosen
Indicates that a specified objective or end state is the intended goal or purpose of a particular doctrine.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.