Triple
T1789345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAS-3 |
E39459
|
entity |
| Predicate | aggregateDataTransferRate |
P1376
|
FINISHED |
| Object | 48 Gbit/s for 4 lanes |
—
|
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: 48 Gbit/s for 4 lanes | Statement: [SAS-3, aggregateDataTransferRate, 48 Gbit/s for 4 lanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregateDataTransferRate Context triple: [SAS-3, aggregateDataTransferRate, 48 Gbit/s for 4 lanes]
-
A.
dataRate
chosen
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
B.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in a given context.
-
C.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
D.
dataTransferType
Indicates the method or mode by which data is transmitted or exchanged between entities.
-
E.
migrationSpeed
Indicates the rate at which an entity moves from one location or region to another over a given period of time.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.