Triple
T2363286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molecular Foundry |
E47322
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nanoscience research facility |
C63
|
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: nanoscience research facility Context triple: [Molecular Foundry, instanceOf, nanoscience research facility]
-
A.
research facility
chosen
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.
-
B.
semiconductor manufacturing facility
A semiconductor manufacturing facility is a highly controlled industrial plant where raw silicon wafers are processed through complex, precise, and cleanroom-based fabrication steps to produce integrated circuits and microchips.
-
C.
division of a national research institute
A division of a national research institute is a specialized organizational unit responsible for conducting and coordinating research, development, and related activities within a defined scientific or technical domain under the institute’s broader mission.
-
D.
research park
A research park is a planned development that clusters research institutions, high-tech companies, and support facilities to foster innovation, collaboration, and technology commercialization.
-
E.
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.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
Created at: March 4, 2026, 7:55 p.m.