Triple
T4425293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcade Learning Environment |
E95193
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | benchmark suite |
C13033
|
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: benchmark suite Context triple: [Arcade Learning Environment, instanceOf, benchmark suite]
-
A.
benchmark in artificial intelligence
chosen
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.
-
B.
benchmark dataset
A benchmark dataset is a standardized collection of data designed to objectively evaluate, compare, and validate the performance of algorithms, models, or systems on specific tasks.
-
C.
beta testing program
A beta testing program is a structured initiative where a pre-release version of a product is distributed to a limited group of external users to identify bugs, gather feedback, and validate performance before full public launch.
-
D.
building technology evaluation program
A building technology evaluation program is a structured process or system for assessing the performance, cost-effectiveness, sustainability, and regulatory compliance of building-related technologies in real or simulated conditions.
-
E.
bench of a supreme court
The bench of a supreme court is the collective body of justices who sit together to hear, deliberate, and decide the highest-level legal cases and constitutional questions within a jurisdiction.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:30 p.m.