Triple
T29392049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPI |
E745388
|
entity |
| Predicate | typicalDataFrameSize |
—
|
GENERATED |
| Object | 8 bits |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDataFrameSize Context triple: [SPI, typicalDataFrameSize, 8 bits]
-
A.
typicalFileSizeCharacteristic
Indicates the usual or characteristic file size associated with an entity, such as a resource, dataset, or document.
-
B.
typicalCellSize
Indicates the usual or characteristic physical size associated with a given cell.
-
C.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
D.
typicalKeyCount
Indicates the usual or standard number of keys associated with an entity in this context.
-
E.
typicalNumberOfComponents
Indicates the usual or standard count of distinct components that an entity is expected to have.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 2:43 p.m.