Triple
T35449608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baju Kurung Banjar |
E1024590
|
entity |
| Predicate | typicalWearerGender |
—
|
GENERATED |
| Object | female |
—
|
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: typicalWearerGender Context triple: [Baju Kurung Banjar, typicalWearerGender, female]
-
A.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
B.
bearerGender
Indicates the gender associated with the bearer in the relationship or context.
-
C.
genderOfTypicalHolder
Indicates the gender that is most commonly associated with or typical of the usual holder of something.
-
D.
genderOfPersona
Indicates the gender identity associated with a given persona.
-
E.
genderTypically
chosen
Indicates that something is most commonly or traditionally associated with a particular gender.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.