Triple
T31725579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śāntideva |
E809703
|
entity |
| Predicate | ŚikṣāsamuccayaType |
P172469
|
FINISHED |
| Object | compendium of Mahāyāna sūtras |
—
|
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: compendium of Mahāyāna sūtras | Statement: [Śāntideva, ŚikṣāsamuccayaType, compendium of Mahāyāna sūtras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ŚikṣāsamuccayaType Context triple: [Śāntideva, ŚikṣāsamuccayaType, compendium of Mahāyāna sūtras]
-
A.
Prasannapadā_type
Indicates that something is classified as belonging to the Prasannapadā type, i.e., it stands in a relation of being of the same kind or category as the Prasannapadā.
-
B.
completesTeachingsOf
Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
-
C.
दोषसिद्धि
Indicates a judicial relationship where an authority formally establishes and declares a person’s guilt for an alleged offense.
-
D.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
E.
abhidharmaText
Indicates a relationship where a text is classified as or associated with Abhidharma literature within the Buddhist doctrinal corpus.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:19 p.m.