Triple
T34101230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Processing Language |
E874573
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI programming language |
C1703
|
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: AI programming language Context triple: [Information Processing Language, instanceOf, AI programming language]
-
A.
intelligence program
An intelligence program is a software system designed to collect, process, analyze, and interpret data to generate actionable insights or decisions that mimic or support human cognitive capabilities.
-
B.
programming language
chosen
A programming language is a formal system of syntax and semantics that allows humans to write instructions a computer can execute to perform specific tasks or solve problems.
-
C.
neural network modeling language
A neural network modeling language is a specialized formalism or syntax used to define, configure, and connect neural network components and architectures in a clear, structured, and often platform-agnostic way.
-
D.
artificial intelligence framework
An artificial intelligence framework is a structured software environment that provides tools, libraries, and interfaces to design, train, deploy, and manage AI and machine learning models efficiently.
-
E.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:53 a.m.