Triple
T35449638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baksa Kembang dance |
E1024591
|
entity |
| Predicate | typicalGenderOfDancers |
—
|
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: typicalGenderOfDancers Context triple: [Baksa Kembang dance, typicalGenderOfDancers, female]
-
A.
typicalNumberOfDancers
Indicates the usual or standard number of dancers involved in a particular dance, performance, or context.
-
B.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
C.
genderOfMembers
Indicates the gender or genders associated with the members of a group or organization.
-
D.
numberOfWomenDancers
Indicates the count of women who are performing as dancers in a given context or event.
-
E.
numberOfMenDancers
Indicates the count of male individuals performing as dancers in a given context or event.
- F. None of above. chosen
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.