Triple
T480687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrobeats |
E9158
|
entity |
| Predicate | industrySupport |
P8461
|
FINISHED |
| Object | streaming platforms |
—
|
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: streaming platforms | Statement: [Afrobeats, industrySupport, streaming platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrySupport Context triple: [Afrobeats, industrySupport, streaming platforms]
-
A.
industryCenter
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
-
B.
industryStandardFor
Indicates that something is widely accepted or recognized as the conventional or benchmark practice, specification, or norm within a particular industry.
-
C.
usedInIndustry
chosen
Indicates that something is employed or applied within a particular industry or industrial sector.
-
D.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
E.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf321288190b5d560f75782c2cb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.