Triple
T32150010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSMutableData |
E821132
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mutable data buffer type |
C53503
|
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: mutable data buffer type Context triple: [NSMutableData, instanceOf, mutable data buffer type]
-
A.
in-memory data buffer
chosen
An in-memory data buffer is a temporary storage area in RAM used to hold data while it is being transferred between processes, components, or devices to improve performance and manage data flow.
-
B.
write-optimized data structure
A write-optimized data structure is a data organization designed to maximize write throughput and minimize write amplification, often by batching, buffering, or log-structuring updates while still supporting acceptable read performance.
-
C.
buffered stream
A buffered stream is a data stream wrapper that temporarily stores input or output in an in-memory buffer to reduce the number of direct, often costly, read/write operations to the underlying source or destination.
-
D.
memory descriptor class
A memory descriptor class encapsulates metadata about a memory region—such as its address, size, alignment, and access permissions—to enable safe and efficient memory management operations.
-
E.
Julia data type
A Julia data type is a user-defined or built-in structure that specifies the kind, layout, and behavior of values in Julia’s type system, enabling efficient, multiple-dispatch-based computation.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:31 a.m.