Triple
T35537974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exquisite Form |
E1026980
|
entity |
| Predicate | primaryGarmentCategory |
—
|
GENERATED |
| Object | women's underwear |
—
|
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: primaryGarmentCategory Context triple: [Exquisite Form, primaryGarmentCategory, women's underwear]
-
A.
garmentType
chosen
Indicates the specific kind or category of garment associated with an entity.
-
B.
fashionCategory
Indicates the classification of an item into a specific fashion-related category or type (e.g., clothing, footwear, accessories).
-
C.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
D.
fashionLabelType
Indicates the specific category or type of fashion label associated with an item or brand.
-
E.
bodyStyleCategory
Indicates the general body style classification or category that an item (such as a vehicle or product) belongs to.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.