Triple
T2125702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaders in Innovation Fellowships |
E46420
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | entrepreneurship support programme |
C2160
|
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: entrepreneurship support programme Context triple: [Leaders in Innovation Fellowships, instanceOf, entrepreneurship support programme]
-
A.
entrepreneurship support program
chosen
An entrepreneurship support program is an organized set of resources, services, and activities designed to help aspiring and existing entrepreneurs develop, launch, and grow their ventures.
-
B.
startup accelerator program
A startup accelerator program is a fixed-term, cohort-based initiative that provides early-stage companies with mentorship, resources, networking, and often seed funding in exchange for equity to rapidly grow their businesses.
-
C.
innovation program
An innovation program is a structured, ongoing initiative within an organization designed to systematically generate, develop, and implement new ideas that create value and drive strategic growth.
-
D.
commercialization program
A commercialization program is a structured initiative that helps transform ideas, research, or prototypes into market-ready products or services through validation, development support, and go-to-market guidance.
-
E.
public employment program
A public employment program is a government-initiated scheme that directly creates temporary or permanent jobs, typically in public works or community services, to reduce unemployment and support income for targeted populations.
- F. None of above.
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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
Created at: March 4, 2026, 7:44 p.m.