Triple
T2303097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetambara |
E51775
|
entity |
| Predicate | monasticDress |
P38634
|
FINISHED |
| Object | white robes |
—
|
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 robes | Statement: [Svetambara, monasticDress, white robes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monasticDress Context triple: [Svetambara, monasticDress, white robes]
-
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.
roleInMonasticism
Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
-
D.
monasticTradition
Indicates that an entity follows, belongs to, or is characterized by a particular monastic rule, lineage, or way of religious life.
-
E.
tookReligiousVowsOn
Indicates that an entity formally committed to religious vows on a specific date or occasion.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69abcbab15488190bc8d2345f9d9f2bd |
completed | March 7, 2026, 6:54 a.m. |
Created at: March 4, 2026, 7:49 p.m.