Triple
T38661255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kāśyapīya school |
E940339
|
entity |
| Predicate | hasDoctrinalCorpus |
P65791
|
FINISHED |
| Object | Kāśyapīya Āgama collection |
—
|
NE NERFINISHED |
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: Kāśyapīya Āgama collection | Statement: [Kāśyapīya school, hasDoctrinalCorpus, Kāśyapīya Āgama collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDoctrinalCorpus Context triple: [Kāśyapīya school, hasDoctrinalCorpus, Kāśyapīya Āgama collection]
-
A.
hasNumberOfDoctrines
Indicates the relationship that specifies how many doctrines are associated with a given entity.
-
B.
hasDoctrinalBasis
Indicates that one concept, claim, or practice is grounded in, supported by, or derived from a specific doctrine or set of doctrines.
-
C.
hasNotableCorpus
chosen
Indicates that an entity possesses a significant, well-recognized body of work, texts, or collected materials associated with it.
-
D.
doctrinalPublication
Indicates that one entity is a publication that sets out, explains, or codifies the doctrines or official teachings associated with another entity.
-
E.
hasPartOfCorpus
Indicates that one entity constitutes a component or segment of the overall corpus associated with another 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:33 p.m.