Triple
T38018385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dharmaguptaka |
E948555
|
entity |
| Predicate | hasVinaya |
P142997
|
FINISHED |
| Object | Dharmaguptaka Vinaya |
—
|
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: Dharmaguptaka Vinaya | Statement: [Dharmaguptaka, hasVinaya, Dharmaguptaka Vinaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVinaya Context triple: [Dharmaguptaka, hasVinaya, Dharmaguptaka Vinaya]
-
A.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
-
B.
vinayaPreservedIn
chosen
Indicates that a body of Vinaya (monastic disciplinary rules) is preserved, transmitted, or contained within a particular text, collection, or tradition.
-
C.
vinayaLanguage
Indicates that the subject uses, is expressed in, or is associated with the Vinaya (Buddhist monastic discipline) as a language or linguistic tradition.
-
D.
hasSamadhi
Indicates that an entity possesses or has attained the state of samadhi (deep meditative absorption or spiritual concentration) in relation to another context or state.
-
E.
hasKoan
Indicates that an entity is associated with, contains, or is characterized by a particular koan (a paradoxical or instructive anecdote or question).
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:20 p.m.