Triple
T34717070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanquhar knitting |
E1000806
|
entity |
| Predicate | typicalGarmentFeature |
—
|
GENERATED |
| Object | gusseted thumb on gloves |
—
|
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: typicalGarmentFeature Context triple: [Sanquhar knitting, typicalGarmentFeature, gusseted thumb on gloves]
-
A.
clothingFeature
chosen
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
-
B.
fashionCharacteristic
Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
-
C.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
D.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
E.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.