Triple
T33901353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alinity pro |
E869055
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | laboratory information system component |
C60042
|
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: laboratory information system component Context triple: [Alinity pro, instanceOf, laboratory information system component]
-
A.
healthcare infrastructure component
A healthcare infrastructure component is any physical, digital, or organizational element—such as facilities, equipment, information systems, or logistics—that collectively enables the delivery, coordination, and support of health services.
-
B.
research infrastructure component
A research infrastructure component is a foundational hardware, software, or service element that supports the collection, storage, processing, and sharing of data and tools necessary for conducting and advancing research.
-
C.
laboratory automation software
chosen
Laboratory automation software is a system that orchestrates, controls, and monitors lab instruments, workflows, and data to streamline experimental processes, reduce manual effort, and improve reproducibility.
-
D.
laboratory module
A laboratory module is a self-contained, configurable unit of space, equipment, and utilities designed to support specific experimental, testing, or research activities within a larger lab environment.
-
E.
software system component
A software system component is a modular, encapsulated unit of functionality within a larger software system that interacts with other components through well-defined interfaces to perform specific tasks.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:48 a.m.