Triple
T426457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chan Zuckerberg Biohub |
E9618
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nonprofit biomedical research organization |
C6
|
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: nonprofit biomedical research organization Context triple: [Chan Zuckerberg Biohub, instanceOf, nonprofit biomedical research organization]
-
A.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
-
B.
nonprofit organization
chosen
A nonprofit organization is an entity formed for purposes other than generating profit, using any surplus revenues to further its mission or public benefit rather than distributing them to owners or shareholders.
-
C.
research organization
A research organization is an institution that systematically investigates specific questions or problems to generate new knowledge, technologies, or insights, often within scientific, academic, or applied domains.
-
D.
medical organization
A medical organization is an entity that coordinates healthcare services, resources, and professionals to promote, maintain, or restore people’s health.
-
E.
research facility
A research facility is a specialized institution equipped with laboratories, instruments, and resources where scientists and experts systematically investigate, experiment, and develop new knowledge or technologies.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.