Triple
T10576000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digambara Jains |
E249613
|
entity |
| Predicate | monasticDressCode |
P38634
|
FINISHED |
| Object | nudity for fully initiated 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: nudity for fully initiated monks | Statement: [Digambara Jains, monasticDressCode, nudity for fully initiated monks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasticDressCode Context triple: [Digambara Jains, monasticDressCode, nudity for fully initiated monks]
-
A.
monasticDress
chosen
Indicates that an entity wears or is characterized by clothing associated with a monastic or religious order.
-
B.
monasticCode
Indicates that an entity follows, is governed by, or is associated with a specific set of monastic rules or disciplinary code.
-
C.
hasClericalVestments
Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
-
D.
monasticLife
Indicates a relationship where an entity lives according to monastic rules, practices, and commitments, typically within a religious community.
-
E.
roleInMonasticism
Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274b100c8190b477ef4cb745c269 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.