Triple
T32133773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parbatiya |
E820716
|
entity |
| Predicate | associatedWithDress |
—
|
GENERATED |
| Object | Daura Suruwal |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithDress Context triple: [Parbatiya, associatedWithDress, Daura Suruwal]
-
A.
usesDressing
Indicates that one entity applies or employs a particular dressing (such as a sauce, covering, or treatment) in relation to another entity or context.
-
B.
typicallyWornWith
chosen
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
C.
associatedWithFashion
Indicates a relationship where something is connected or related to fashion, style, or the fashion industry in some meaningful way.
-
D.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
-
E.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
- F. None of above.
Provenance (1 batch)
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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:30 a.m.