Triple
T35449608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baju Kurung Banjar |
E1024590
|
entity |
| Predicate | typicalWearerGender |
P187733
|
FINISHED |
| Object | female |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: female | Statement: [Baju Kurung Banjar, typicalWearerGender, female]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.