Triple
T6954185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaylon artificial intelligence |
E161200
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence collective |
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 collective Context triple: [Kaylon artificial intelligence, instanceOf, artificial intelligence collective]
-
A.
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.
-
B.
collective
A collective is a group of individuals who voluntarily unite to pursue shared goals, interests, or actions, often emphasizing collaboration and shared decision-making over hierarchical structures.
-
C.
collaborative networks
Collaborative networks are interconnected groups of individuals or organizations that share resources, knowledge, and responsibilities to achieve common goals more effectively than they could independently.
-
D.
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.
-
E.
intelligence front
An intelligence front is an ostensibly legitimate organization or entity that covertly serves as a cover for intelligence-gathering, espionage, or other clandestine activities.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:29 p.m.