Triple
T2303114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetambara |
E51775
|
entity |
| Predicate | differsFromDigambaraIn |
P7124
|
FINISHED |
| Object | view on nudity of monks |
—
|
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: view on nudity of monks | Statement: [Svetambara, differsFromDigambaraIn, view on nudity of monks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differsFromDigambaraIn Context triple: [Svetambara, differsFromDigambaraIn, view on nudity of monks]
-
A.
hasDenominationalVariation
chosen
Indicates that there are differing forms, practices, or interpretations of something across distinct denominations or sects.
-
B.
equivalentInBuddhism
Indicates that one concept, figure, or element is regarded as the corresponding or matching counterpart within the context of Buddhism.
-
C.
दोषसिद्धि
Indicates a judicial relationship where an authority formally establishes and declares a person’s guilt for an alleged offense.
-
D.
earlyTirthankara
Indicates that the subject is recognized as one of the earlier Tirthankaras in the traditional chronological sequence.
-
E.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.