Triple
T4221557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge life sciences ecosystem |
E94351
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | life sciences cluster |
C15368
|
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: life sciences cluster Context triple: [Cambridge life sciences ecosystem, instanceOf, life sciences cluster]
-
A.
biology department
A biology department is an academic unit within an educational or research institution dedicated to the study, teaching, and investigation of living organisms and life processes.
-
B.
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.
-
C.
neurosciences institute
A neurosciences institute is a specialized research and clinical organization dedicated to studying the nervous system, brain function, and related disorders to advance understanding, diagnosis, and treatment.
-
D.
environmental health research infrastructure
Environmental health research infrastructure comprises the systems, facilities, data platforms, tools, and organizational frameworks that enable the collection, analysis, and translation of information on how environmental factors affect human health.
-
E.
natural science resource center
A natural science resource center is a facility or program that provides access to scientific materials, equipment, information, and educational support to facilitate learning, research, and public engagement in the natural sciences.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
Created at: March 12, 2026, 11:04 p.m.