Triple
T8284914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCP |
E193764
|
entity |
| Predicate | typicalSectorSizeSupport |
P61205
|
FINISHED |
| Object | 512-byte and 4K logical block sizes via SCSI |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 512-byte and 4K logical block sizes via SCSI | Statement: [FCP, typicalSectorSizeSupport, 512-byte and 4K logical block sizes via SCSI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSectorSizeSupport Context triple: [FCP, typicalSectorSizeSupport, 512-byte and 4K logical block sizes via SCSI]
-
A.
supportsPartitionTable
Indicates that one entity provides the capability to create, manage, or operate on partitioned tables for another entity.
-
B.
supportsLogicalBlockAddressing
Indicates that one entity provides or is compatible with logical block addressing functionality for another entity or operation.
-
C.
supportedBlockSizes
chosen
Indicates the specific block sizes that an entity is capable of handling or operating with.
-
D.
typicalSupportedUnitType
Indicates the kind or category of unit that an entity is normally designed or expected to support.
-
E.
typicalUnitSize
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
- F. None of above.
Provenance (3 batches)
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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.