Triple
T35122752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Muzik Magazine Award |
E1014204
|
entity |
| Predicate | notableRegionCoverage |
P39809
|
FINISHED |
| Object | West Africa |
E12611
|
NE 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: West Africa | Statement: [African Muzik Magazine Award, notableRegionCoverage, West Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRegionCoverage Context triple: [African Muzik Magazine Award, notableRegionCoverage, West Africa]
-
A.
regionCoverage
Indicates that one entity geographically spans, includes, or serves the area defined by another entity.
-
B.
notableInRegion
chosen
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
C.
notableTargetArea
Indicates that an action, effect, or focus is specifically directed toward a particularly important or prominent area or region.
-
D.
notableDistrictCovered
Indicates that a place or entity includes within its area a district that is considered notable or significant.
-
E.
notableStyleRegion
Indicates that a particular style, manner, or artistic approach is especially characteristic of or prominent within a specific geographic region.
- F. None of above.
Provenance (4 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d94bcb9481909a58e1964c7179ce |
completed | June 21, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.