Triple
T32152308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barker balancing test |
E821191
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | speedy trial analysis framework |
C60835
|
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: speedy trial analysis framework Context triple: [Barker balancing test, instanceOf, speedy trial analysis framework]
-
A.
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.
-
B.
EDL simulation framework
A EDL simulation framework is a software environment that models and analyzes the dynamics, control, and performance of spacecraft during the Entry, Descent, and Landing phase.
-
C.
computational analysis toolset
A computational analysis toolset is an integrated collection of software tools, libraries, and frameworks designed to process, analyze, and interpret data through algorithmic and statistical methods.
-
D.
analytics acceleration layer
An analytics acceleration layer is an intermediate software component that optimizes, caches, and streamlines data access and computation to deliver faster, more efficient analytical queries and insights across underlying data sources.
-
E.
GOMS family model
The GOMS family model is a set of cognitive modeling techniques that describe and predict user interaction with systems by decomposing tasks into goals, operators, methods, and selection rules.
- F. None of above. chosen
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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:31 a.m.