Triple
T11539643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibuka Laboratory |
E273639
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | electronics research laboratory |
C30176
|
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: electronics research laboratory Context triple: [Ibuka Laboratory, instanceOf, electronics research laboratory]
-
A.
optoelectronics research center
An optoelectronics research center is a specialized facility dedicated to studying, developing, and innovating technologies that control and manipulate light and electronic signals for applications such as communications, sensing, and photonic devices.
-
B.
robotics research laboratory
A robotics research laboratory is a specialized facility where researchers design, build, program, and experimentally evaluate robotic systems and related technologies to advance automation and intelligent behavior.
-
C.
computer vision research laboratory
A computer vision research laboratory is a specialized facility where researchers develop, test, and evaluate algorithms and systems that enable machines to interpret and understand visual information from the world.
-
D.
computer science research center
A computer science research center is an institution dedicated to advancing knowledge and innovation in computing through focused research, collaboration, and dissemination of results across areas such as algorithms, systems, artificial intelligence, and human-computer interaction.
-
E.
optics research center
An optics research center is a specialized facility dedicated to advancing the science and technology of light and optical systems through experimental, theoretical, and applied research.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:37 p.m.