Triple
T2403632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB 3.2 Gen 1 |
E50224
|
entity |
| Predicate | maximumTheoreticalDataRate |
P1376
|
FINISHED |
| Object | 5 Gbit/s |
—
|
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: 5 Gbit/s | Statement: [USB 3.2 Gen 1, maximumTheoreticalDataRate, 5 Gbit/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumTheoreticalDataRate Context triple: [USB 3.2 Gen 1, maximumTheoreticalDataRate, 5 Gbit/s]
-
A.
maxDataTransferMode
Indicates the data transfer mode in which the maximum possible data throughput is achieved between entities.
-
B.
dataRate
chosen
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
C.
maxSpatialStreams
Indicates the maximum number of simultaneous spatial data streams that can be used or supported in a communication or processing context.
-
D.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
E.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in a given context.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.