Triple
T1773657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DMA |
E38930
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data transfer mechanism |
C8421
|
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: data transfer mechanism Context triple: [DMA, instanceOf, data transfer mechanism]
-
A.
data sharing framework
A data sharing framework is a structured set of policies, standards, and technical mechanisms that governs how data is securely, ethically, and interoperably exchanged between parties.
-
B.
monitoring mechanism
A monitoring mechanism is a system or process that continuously observes, measures, and evaluates activities or conditions to detect deviations, ensure compliance, and support timely decision-making.
-
C.
network address translation mechanism
A network address translation mechanism is a system that modifies network address information in IP packet headers while in transit to enable multiple devices on a private network to share a single public IP address and to control traffic between networks.
-
D.
transport layer protocol
A transport layer protocol is a communication protocol that provides end-to-end data transfer services between applications across networked devices, handling functions like segmentation, reliability, flow control, and multiplexing.
-
E.
data integration approach
A data integration approach is a conceptual strategy that defines how data from multiple, heterogeneous sources is combined, transformed, and unified into a coherent, usable view for analysis and operations.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:31 p.m.