Triple
T13091131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loebner Prize |
E310465
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Turing test competition |
C13032
|
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: Turing test competition Context triple: [Loebner Prize, instanceOf, Turing test competition]
-
A.
test of machine intelligence
chosen
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.
-
B.
benchmark in artificial intelligence
A benchmark in artificial intelligence is a standardized task, dataset, or evaluation protocol used to quantitatively compare and assess the performance of AI models and algorithms.
-
C.
intellectual competition
An intellectual competition is an organized event in which individuals or teams challenge each other’s knowledge, reasoning, or problem-solving abilities within defined rules and criteria for evaluation.
-
D.
game-playing AI
A game-playing AI is an artificial intelligence system designed to analyze game states, make strategic decisions, and execute actions to achieve optimal performance or victory within a defined set of game rules.
-
E.
natural language understanding platform
A natural language understanding platform is a system that interprets, analyzes, and derives meaning from human language input to enable intelligent, context-aware interactions and automation.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
Created at: April 9, 2026, 9:03 p.m.