Triple
T25435329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Africa |
E637357
|
entity |
| Predicate | socialImpactProgram |
P80382
|
FINISHED |
| Object | NBA Cares initiatives in Africa |
—
|
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: NBA Cares initiatives in Africa | Statement: [NBA Africa, socialImpactProgram, NBA Cares initiatives in Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialImpactProgram Context triple: [NBA Africa, socialImpactProgram, NBA Cares initiatives in Africa]
-
A.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
B.
associatedSocialChange
Indicates a relationship where one entity is linked to, or results in, a particular social change affecting behaviors, norms, or structures in society.
-
C.
hasSocialConcernPrograms
chosen
Indicates that an entity operates or supports programs aimed at addressing social issues or improving community well-being.
-
D.
environmentalProgram
Indicates that an entity is involved in, associated with, or constitutes a program or initiative aimed at protecting, managing, or improving the environment.
-
E.
inspiredPrograms
Indicates that one entity served as a source of inspiration or influence for the creation or design of another entity’s programs.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6deaf288190aed44d1533fb95d5 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 1:59 p.m.