Triple
T29107046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CASP14 |
E736788
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | scientific benchmark |
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: scientific benchmark Context triple: [CASP14, instanceOf, scientific benchmark]
-
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.
scientific base
A scientific base is a foundational facility or infrastructure where systematic research, experimentation, and data collection are conducted to advance scientific knowledge and applications.
-
C.
benchmarking framework
A benchmarking framework is a structured system of tools, methodologies, and metrics used to systematically measure, compare, and analyze the performance or quality of systems, components, or processes under defined conditions.
-
D.
scientific assessment
A scientific assessment is a systematic, evidence-based evaluation of data, methods, and uncertainties to inform understanding and decision-making on a specific scientific question or issue.
-
E.
benchmark administrator
A benchmark administrator is responsible for planning, executing, monitoring, and maintaining performance or evaluation benchmarks to ensure accurate, consistent, and meaningful comparison of systems, processes, or individuals.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 28, 2026, 11:16 a.m.