Triple
T25321845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compatible Time-Sharing System |
E634903
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | historical computer system |
C50020
|
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: historical computer system Context triple: [Compatible Time-Sharing System, instanceOf, historical computer system]
-
A.
historical computer architecture
Historical computer architecture is the study and classification of past computer system designs, components, and organizational principles that shaped the evolution of computing hardware over time.
-
B.
historical influence on computing
Historical influence on computing encompasses the people, events, technologies, and social forces from the past that have shaped the development, adoption, and evolution of computer systems and concepts over time.
-
C.
mainframe computer
A mainframe computer is a large, powerful, and highly reliable central computer system designed to process vast amounts of data and support numerous simultaneous users and critical applications, typically used by large organizations.
-
D.
early computer
An early computer is a large, often room-sized electronic or electromechanical machine designed in the mid-20th century to perform basic calculations and data processing using primitive hardware and limited programming capabilities.
-
E.
mainframe computer series
A mainframe computer series is a family of high-performance, large-scale computers designed for reliable, centralized processing of massive workloads and critical enterprise applications over multiple generations.
- F. None of above. chosen
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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:28 p.m.