Triple
T36883562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequoia |
E911546
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | IBM Blue Gene/Q system |
C12873
|
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: IBM Blue Gene/Q system Context triple: [Sequoia, instanceOf, IBM Blue Gene/Q system]
-
A.
petascale supercomputer
chosen
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.
-
B.
IBM Power Architecture processor
An IBM Power Architecture processor is a high-performance, RISC-based microprocessor designed by IBM for scalable, enterprise-grade computing across servers, workstations, and embedded systems.
-
C.
NS32000 family processor
The NS32000 family processor is a series of 32-bit CISC microprocessors by National Semiconductor, designed with a clean, orthogonal instruction set and advanced features for high-level language support and multitasking.
-
D.
Japanese supercomputer
A Japanese supercomputer is a high-performance computing system developed or operated in Japan, designed to execute massive, complex calculations at extremely high speeds for scientific, industrial, and technological research.
-
E.
high-performance computing system
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.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.