Triple
T31814249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAIR |
E812090
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence research lab |
C43962
|
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: artificial intelligence research lab Context triple: [BAIR, instanceOf, artificial intelligence research lab]
-
A.
machine learning research institute
A machine learning research institute is an organization dedicated to advancing the theory, algorithms, and applications of machine learning through systematic research, experimentation, and collaboration.
-
B.
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.
-
C.
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.
-
D.
intelligent systems research center
chosen
An intelligent systems research center is an interdisciplinary organization dedicated to advancing the theory, design, and application of AI-driven systems that can perceive, reason, learn, and act autonomously in complex environments.
-
E.
big data research lab
A big data research lab is a specialized facility where researchers develop and apply advanced methods, tools, and infrastructures to collect, store, process, and analyze massive, complex datasets for scientific and practical insights.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:44 p.m.