Triple
T12260432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bawasaba |
E292206
|
entity |
| Predicate | originatesFromScene |
P57556
|
FINISHED |
| Object | Ghanaian Afro-dancehall scene |
—
|
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: Ghanaian Afro-dancehall scene | Statement: [Bawasaba, originatesFromScene, Ghanaian Afro-dancehall scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatesFromScene Context triple: [Bawasaba, originatesFromScene, Ghanaian Afro-dancehall scene]
-
A.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
B.
originatesAs
chosen
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
C.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
D.
originatedInShow
Indicates that something (such as a character, concept, or element) first appeared or was introduced in a particular show.
-
E.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.