Triple
T8482582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CASP |
E200554
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | protein structure prediction 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: protein structure prediction benchmark Context triple: [CASP, instanceOf, protein structure prediction 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.
protein
A protein is a large, complex biological molecule composed of one or more chains of amino acids that fold into specific three-dimensional structures to perform diverse structural, catalytic, signaling, and regulatory functions in living organisms.
-
C.
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.
-
D.
bioinformatics program
A bioinformatics program is a software application designed to analyze, interpret, and manage biological data, such as DNA, RNA, and protein sequences, using computational and statistical methods.
-
E.
biological database search system
A biological database search system is a software tool that enables users to efficiently query, retrieve, and analyze biological data (such as sequences, structures, and annotations) from one or more integrated databases.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:12 p.m.