Triple
T3503585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester encoding |
E74022
|
entity |
| Predicate | clockToDataRatio |
P48588
|
FINISHED |
| Object | clock frequency equals bit rate |
—
|
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: clock frequency equals bit rate | Statement: [Manchester encoding, clockToDataRatio, clock frequency equals bit rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clockToDataRatio Context triple: [Manchester encoding, clockToDataRatio, clock frequency equals bit rate]
-
A.
clockSpeed
Indicates the operating frequency at which a clock-driven component (such as a processor) performs its cycles or operations over time.
-
B.
hasClockSpeed
Indicates that an entity (typically a processor or device) operates at a specified clock frequency or speed.
-
C.
compressionRatio
Indicates the proportional reduction in size or volume achieved when something is compressed compared to its original size.
-
D.
memoryBandwidth
Indicates the rate at which data can be transferred to or from a memory system over a given period of time.
-
E.
hasInternalFrequencyCompensation
Indicates that an electronic component or circuit includes built-in circuitry to stabilize its frequency response without requiring external compensation components.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaef1037c819082c7af949ec85360 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:18 p.m.