Triple
T1877738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kebaya Sunda |
E39181
|
entity |
| Predicate | hasEmbroideryMotif |
P23430
|
FINISHED |
| Object | floral patterns |
—
|
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: floral patterns | Statement: [kebaya Sunda, hasEmbroideryMotif, floral patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmbroideryMotif Context triple: [kebaya Sunda, hasEmbroideryMotif, floral patterns]
-
A.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
B.
adornedWith
chosen
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
C.
hasMottoRibbon
Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
-
D.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
E.
hasTattoo
Indicates that one entity bears a tattoo on their body.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.