Triple
T2610076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangha |
E58751
|
entity |
| Predicate | nobleSanghaDefinedAs |
P20185
|
FINISHED |
| Object | community of enlightened disciples |
—
|
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: community of enlightened disciples | Statement: [Sangha, nobleSanghaDefinedAs, community of enlightened disciples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleSanghaDefinedAs Context triple: [Sangha, nobleSanghaDefinedAs, community of enlightened disciples]
-
A.
roleInMonasticism
Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
-
B.
monasticTradition
Indicates that an entity follows, belongs to, or is characterized by a particular monastic rule, lineage, or way of religious life.
-
C.
inspiredReligiousOrder
Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
-
D.
equivalentInBuddhism
chosen
Indicates that one concept, figure, or element is regarded as the corresponding or matching counterpart within the context of Buddhism.
-
E.
numberOfMonksApprox
Indicates an approximate count or estimate of how many monks are involved or present in a given context.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.