Triple
T10602375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logic Theorist |
E275782
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence program |
C13209
|
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: artificial intelligence program Context triple: [Logic Theorist, instanceOf, artificial intelligence program]
-
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.
artificial intelligence
chosen
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.
-
C.
test of machine intelligence
A test of machine intelligence is a systematic procedure or set of tasks designed to evaluate a machine's ability to exhibit behaviors or problem-solving capabilities that are typically associated with human cognitive processes.
-
D.
public art program
A public art program is an organized initiative, typically led by a government or institution, that commissions, funds, and manages artworks in public spaces to enhance community identity, cultural expression, and shared environments.
-
E.
robotics program
A robotics program is a structured course or initiative that teaches the design, construction, and programming of robots to solve real-world problems or complete specific tasks.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
Created at: April 8, 2026, 7:31 p.m.