Triple
T31725576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śāntideva |
E809703
|
entity |
| Predicate | BodhicaryāvatāraStructure |
P172895
|
FINISHED |
| Object | ten chapters |
—
|
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: ten chapters | Statement: [Śāntideva, BodhicaryāvatāraStructure, ten chapters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BodhicaryāvatāraStructure Context triple: [Śāntideva, BodhicaryāvatāraStructure, ten chapters]
-
A.
Madhyamakāvatāra_subject
Indicates that the subject is the topic, agent, or primary focus in the context of the Madhyamakāvatāra (a specific text or doctrinal framework).
-
B.
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.
-
C.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
D.
abhidharmaText
Indicates a relationship where a text is classified as or associated with Abhidharma literature within the Buddhist doctrinal corpus.
-
E.
viewOnBodhisattvaIdeal
Indicates a stance, interpretation, or attitude that someone or something holds toward the bodhisattva ideal.
- 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_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 11:19 p.m.