Triple
T32312104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Robotics, Automation, Sensing and Perception Laboratory |
E825527
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | university laboratory |
C61398
|
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: university laboratory Context triple: [General Robotics, Automation, Sensing and Perception Laboratory, instanceOf, university laboratory]
-
A.
private laboratory
A private laboratory is a non-public scientific facility, typically owned by a company or individual, where controlled experiments, analyses, and research are conducted for proprietary, commercial, or specialized purposes.
-
B.
teaching laboratory
A teaching laboratory is a specialized educational space equipped with scientific instruments and materials where students perform hands-on experiments to learn and apply theoretical concepts.
-
C.
scientist's laboratory
A scientist's laboratory is a controlled workspace equipped with specialized instruments, materials, and safety systems where scientific experiments, observations, and analyses are conducted.
-
D.
university institute
A university institute is an organizational unit within a university that focuses on specialized research, education, and collaboration in a particular academic or interdisciplinary field.
-
E.
laboratory school
A laboratory school is an educational institution, often affiliated with a university, that serves as a site for teacher training, educational research, and the development and testing of innovative teaching methods and curricula.
- 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:46 a.m.