Triple
T1040840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Data |
E22465
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data literacy program |
C5236
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: data literacy program Context triple: [School of Data, instanceOf, data literacy program]
-
A.
open knowledge program
An open knowledge program is an initiative designed to create, share, and maintain freely accessible, collaboratively developed information resources for public use and learning.
-
B.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
C.
government statistical program
A government statistical program is an organized, ongoing initiative by a public agency to systematically collect, process, analyze, and disseminate data on specific aspects of the population, economy, or environment to inform policy and public understanding.
-
D.
leadership development program
A leadership development program is a structured set of learning experiences and activities designed to build individuals’ skills, behaviors, and mindsets needed to effectively lead people and organizations.
-
E.
language revitalization project
A language revitalization project is an organized, community-centered effort to document, teach, and promote the use of an endangered or marginalized language to ensure its continued transmission and everyday use.
- F. None of above. chosen
Provenance (1 batch)
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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
Created at: March 1, 2026, 7:41 p.m.