Triple
T36485660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biolab |
E898926
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | life sciences research facility |
C27353
|
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 research facility Context triple: [Biolab, instanceOf, life sciences research facility]
-
A.
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.
-
B.
research facility area
A research facility area is a designated space within or associated with a research institution where scientific, technical, or experimental activities are conducted, supported, or managed.
-
C.
life sciences cluster
A life sciences cluster is a geographically concentrated network of research institutions, companies, and support organizations focused on biotechnology, pharmaceuticals, medical devices, and related health and biological sciences, fostering innovation, collaboration, and economic growth.
-
D.
bioscience research center
chosen
A bioscience research center is a specialized facility where scientists conduct experimental and computational studies on living systems to advance knowledge and develop applications in health, agriculture, and biotechnology.
-
E.
public research institution
A public research institution is a government-funded organization dedicated to advancing knowledge and innovation through systematic investigation, experimentation, and dissemination of findings for the benefit of society.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.