Triple
T27832858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Computer Systems Laboratory |
E703149
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer systems research group |
C27753
|
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: computer systems research group Context triple: [Stanford Computer Systems Laboratory, instanceOf, computer systems research group]
-
A.
computer science research center
chosen
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.
-
B.
research computer system
A research computer system is a specialized computing environment designed to support complex scientific or academic investigations by providing high-performance processing, large-scale data storage, and advanced analytical tools.
-
C.
human–computer interaction research center
A human–computer interaction research center is an interdisciplinary organization that studies, designs, and evaluates interactive technologies to improve how people use and experience computer systems.
-
D.
computer systems conference
A computer systems conference is a professional gathering where researchers, practitioners, and industry experts present, discuss, and evaluate advances in the design, implementation, and evaluation of computer systems and related technologies.
-
E.
intelligent systems research center
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.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 5:57 p.m.