Triple
T10576004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digambara Jains |
E249613
|
entity |
| Predicate | doNotOrdain |
P4300
|
FINISHED |
| Object | nude nuns in contemporary practice |
—
|
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: nude nuns in contemporary practice | Statement: [Digambara Jains, doNotOrdain, nude nuns in contemporary practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doNotOrdain Context triple: [Digambara Jains, doNotOrdain, nude nuns in contemporary practice]
-
A.
ordains
Indicates that one entity formally appoints or invests another with authority, office, or a religious role through an official or ceremonial act.
-
B.
allowedOrdinationOf
Indicates that one entity permits or authorizes the formal religious ordination of another entity.
-
C.
doesNot
chosen
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
D.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
E.
didNotBecome
Indicates that an expected or potential change of state, role, or condition between entities did not occur.
- 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.