Triple
T24521472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NI CompactDAQ |
E606540
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | modular measurement system |
C48242
|
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: modular measurement system Context triple: [NI CompactDAQ, instanceOf, modular measurement system]
-
A.
modular instrumentation platform
chosen
A modular instrumentation platform is a flexible, scalable system that integrates interchangeable measurement and control modules into a common hardware and software framework to build customized test, monitoring, or automation solutions.
-
B.
modular load-carrying system
A modular load-carrying system is a configurable assembly of interchangeable components designed to transport, support, and adapt to varying types and amounts of loads in different operational contexts.
-
C.
modular synthesizer system
A modular synthesizer system is a customizable collection of interconnected sound-generating and processing modules that can be patched together in various configurations to create complex, evolving audio.
-
D.
high-precision measurement
High-precision measurement is the process of quantifying a physical quantity with extremely low uncertainty and high repeatability, often using specialized instruments and rigorous calibration to ensure accurate and reliable results.
-
E.
uniform system
A uniform system is a conceptual model in which properties such as composition, structure, and behavior are assumed to be consistent and invariant throughout the entire system.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
Created at: April 18, 2026, 2:24 a.m.