Triple
T299757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serial Attached SCSI |
E6171
|
entity |
| Predicate | advantageOverParallelSCSI |
P10594
|
FINISHED |
| Object | higher performance |
—
|
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: higher performance | Statement: [Serial Attached SCSI, advantageOverParallelSCSI, higher performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverParallelSCSI Context triple: [Serial Attached SCSI, advantageOverParallelSCSI, higher performance]
-
A.
overheadComparedToTCP
Indicates the additional protocol or processing cost incurred by something relative to using TCP as the baseline.
-
B.
maximumDevicesPerBus
Indicates the maximum number of devices that are allowed to be connected to a single bus.
-
C.
reliabilityComparedToTCP
Indicates how the reliability of one protocol or mechanism compares relative to that of TCP.
-
D.
advantageOverClassicalCassegrain
Indicates that one optical design or system possesses a specific benefit or improvement when compared to a classical Cassegrain configuration.
-
E.
maxDevicesPerBus
Indicates the maximum number of devices that are allowed to be connected to a single bus.
- F. None of above. chosen
Provenance (4 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea07e3bc8190bae593b3264de211 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.