Triple
T11181095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terascale Simulation Facility |
E264538
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | high-performance computing center |
C12874
|
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: high-performance computing center Context triple: [Terascale Simulation Facility, instanceOf, high-performance computing center]
-
A.
high-performance computing system
chosen
A high-performance computing system is an integrated collection of powerful processors, high-speed interconnects, and optimized software designed to perform large-scale, complex computations at very high speeds.
-
B.
petascale supercomputer
A petascale supercomputer is a massively parallel high-performance computing system capable of performing at least one quadrillion (10^15) floating-point operations per second, used for large-scale scientific, engineering, and data-intensive simulations.
-
C.
high-performance computing software
High-performance computing software consists of specialized programs and frameworks designed to efficiently execute large-scale, compute-intensive tasks by exploiting parallelism and advanced hardware architectures such as clusters, supercomputers, and GPUs.
-
D.
data center
A data center is a specialized facility that houses networked computer systems, storage, and infrastructure to process, manage, and store large volumes of digital data.
-
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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:29 p.m.