Triple
T29364112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TX-2 computer |
E744669
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | research computer |
C21988
|
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: research computer Context triple: [TX-2 computer, instanceOf, research computer]
-
A.
research computer system
chosen
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.
-
B.
computer science academic
A computer science academic is a scholar who conducts research, teaches, and advances knowledge in areas such as algorithms, systems, theory, and applications of computing.
-
C.
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.
-
D.
research compiler
A research compiler is an experimental software system designed to explore, prototype, and evaluate new compilation techniques, optimizations, and programming language features rather than to serve as a production-grade toolchain.
-
E.
computer science community
A computer science community is a group of people who share knowledge, collaborate, and support each other around topics in computing, programming, and related technologies.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 2:21 p.m.