Triple
T10742716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jain monks |
E253367
|
entity |
| Predicate | takeVows |
P40813
|
FINISHED |
| Object | mahavratas |
—
|
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: mahavratas | Statement: [Jain monks, takeVows, mahavratas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takeVows Context triple: [Jain monks, takeVows, mahavratas]
-
A.
tookReligiousVows
chosen
Indicates that an entity formally committed to a religious life by taking recognized vows within a religious tradition.
-
B.
tookReligiousVowsOn
Indicates that an entity formally committed to religious vows on a specific date or occasion.
-
C.
vowsTo
Indicates a commitment or solemn promise made by one entity to another to perform, uphold, or refrain from specific actions.
-
D.
hasSpecialVowOfObedienceRegarding
Indicates that one entity is bound by a distinct or additional vow to obey the authority, directives, or will of another specific entity.
-
E.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.