Triple
T14882591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upanayana ceremony |
E350036
|
entity |
| Predicate | requiresWearing |
P64963
|
FINISHED |
| Object | sacred thread over the left shoulder and under the right arm |
—
|
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: sacred thread over the left shoulder and under the right arm | Statement: [Upanayana ceremony, requiresWearing, sacred thread over the left shoulder and under the right arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresWearing Context triple: [Upanayana ceremony, requiresWearing, sacred thread over the left shoulder and under the right arm]
-
A.
wearerMust
chosen
Indicates that a specified item or object is required to be worn by a particular entity under certain conditions or rules.
-
B.
requiresVestments
Indicates that performing the related action or role necessitates wearing specific ceremonial or official vestments.
-
C.
wearAuthorizedFor
Indicates that an entity is permitted or authorized to wear a specified item (such as clothing, equipment, or insignia).
-
D.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
E.
wearRegulation
Indicates that an entity is subject to and follows specific rules or standards governing what it wears.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:56 a.m.