Triple
T2303098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetambara |
E51775
|
entity |
| Predicate | monksWear |
P271
|
FINISHED |
| Object | white clothing |
—
|
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: white clothing | Statement: [Svetambara, monksWear, white clothing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monksWear Context triple: [Svetambara, monksWear, white clothing]
-
A.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
B.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
-
C.
wears
chosen
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
D.
numberOfMonksApprox
Indicates an approximate count or estimate of how many monks are involved or present in a given context.
-
E.
wearingOrder
Indicates the relative sequence in which items are worn on or over one another (e.g., which garment is worn over or under another).
- 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.