Triple
T31725580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Śāntideva |
E809703
|
entity |
| Predicate | ŚikṣāsamuccayaFocus |
P106177
|
FINISHED |
| Object | bodhisattva conduct |
—
|
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: bodhisattva conduct | Statement: [Śāntideva, ŚikṣāsamuccayaFocus, bodhisattva conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ŚikṣāsamuccayaFocus Context triple: [Śāntideva, ŚikṣāsamuccayaFocus, bodhisattva conduct]
-
A.
ŚikṣāsamuccayaType
Indicates a classification relationship where something is identified as a type or instance within the Śikṣāsamuccaya textual or doctrinal tradition.
-
B.
focusOfTeachings
chosen
Indicates that the object is the primary subject or central theme emphasized in the teachings of the subject.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
completesTeachingsOf
Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
-
E.
दोषसिद्धि
Indicates a judicial relationship where an authority formally establishes and declares a person’s guilt for an alleged offense.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:19 p.m.