Triple
T15686983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEA-Leti |
E380226
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | microelectronics research center |
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: microelectronics research center Context triple: [CEA-Leti, instanceOf, microelectronics research center]
-
A.
microelectronics technology
Microelectronics technology is the field focused on designing, fabricating, and integrating extremely small electronic components and circuits—such as transistors, diodes, and integrated circuits—on semiconductor substrates to enable compact, high-performance electronic systems.
-
B.
electronics research laboratory
chosen
An electronics research laboratory is a specialized facility equipped with advanced instruments and tools where scientists and engineers design, prototype, and experimentally investigate electronic components, circuits, and systems.
-
C.
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.
-
D.
principle in microelectronics
A principle in microelectronics is a fundamental rule or concept that governs the behavior, design, and operation of electronic components and circuits at microscopic scales.
-
E.
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.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:44 a.m.