Triple
T1877700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kebaya Sunda |
E39181
|
entity |
| Predicate | hasSilhouette |
P31173
|
FINISHED |
| Object | fitted |
—
|
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: fitted | Statement: [kebaya Sunda, hasSilhouette, fitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSilhouette Context triple: [kebaya Sunda, hasSilhouette, fitted]
-
A.
hasPortrait
Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
-
B.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
-
C.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
-
D.
hasProfile
Indicates that an entity is associated with or possesses a specific profile representation or account.
-
E.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
- 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.