Triple
T8541484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya Medical Training and research institutions (general collaboration) |
E202206
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medical research collaboration |
C24027
|
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: medical research collaboration Context triple: [Kenya Medical Training and research institutions (general collaboration), instanceOf, medical research collaboration]
-
A.
scientific collaboration board
A scientific collaboration board is a shared digital or physical workspace where researchers coordinate projects, exchange data and ideas, track progress, and manage collaborative tasks across institutions and disciplines.
-
B.
university collaboration
University collaboration is the structured partnership between universities and external entities (such as other academic institutions, industry, government, or communities) to jointly pursue research, education, innovation, and resource sharing.
-
C.
medical researcher
A medical researcher is a professional who systematically investigates diseases, treatments, and health-related phenomena to generate new knowledge and improve medical care.
-
D.
mathematical collaboration
Mathematical collaboration is the joint process by which mathematicians share ideas, methods, and insights to develop, refine, and communicate mathematical results that they might not achieve as effectively alone.
-
E.
research support community
A research support community is a collaborative network of individuals and resources that provides guidance, feedback, tools, and encouragement to help researchers conduct, improve, and share their work.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:18 p.m.