Triple
T6254473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banarasi saris |
E140126
|
entity |
| Predicate | drapingStyle |
P39714
|
FINISHED |
| Object | commonly draped in Nivi style |
—
|
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: commonly draped in Nivi style | Statement: [Banarasi saris, drapingStyle, commonly draped in Nivi style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drapingStyle Context triple: [Banarasi saris, drapingStyle, commonly draped in Nivi style]
-
A.
passingStyle
Indicates the manner or technique by which something (typically a ball or object) is passed from one entity to another.
-
B.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
C.
stagingStyle
Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
-
D.
dressFeature
chosen
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
E.
broughtStyleTo
Indicates that one entity introduced or contributed a particular style or aesthetic to another entity or 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063625608819081f5422112c80ce5 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.