NRZI
E96090
NRZI (Non-Return-to-Zero Inverted) is a digital line coding scheme that represents binary data by inverting the signal level on a '1' and leaving it unchanged on a '0', commonly used in various networking and storage technologies.
All labels observed (3)
| Label | Occurrences |
|---|---|
| NRZI canonical | 1 |
| Non-Return-to-Zero Invert-on-ones | 1 |
| Non-Return-to-Zero Inverted | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T812687 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NRZI Context triple: [100BASE-FX, usesLineCode, NRZI]
-
A.
Manchester encoding
Manchester encoding is a digital line code that represents each data bit with a transition in the middle of the bit period, providing both clock and data synchronization on the same signal.
-
B.
CRC
CRC is the widely ratified United Nations human rights treaty that sets out the civil, political, economic, social, and cultural rights of all children.
-
C.
NUL
NUL is a historic civil rights and urban advocacy organization in the United States focused on economic empowerment, equality, and social justice for African Americans and other underserved communities.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NRZI Target entity description: NRZI (Non-Return-to-Zero Inverted) is a digital line coding scheme that represents binary data by inverting the signal level on a '1' and leaving it unchanged on a '0', commonly used in various networking and storage technologies.
-
A.
Manchester encoding
Manchester encoding is a digital line code that represents each data bit with a transition in the middle of the bit period, providing both clock and data synchronization on the same signal.
-
B.
CRC
CRC is the widely ratified United Nations human rights treaty that sets out the civil, political, economic, social, and cultural rights of all children.
-
C.
NUL
NUL is a historic civil rights and urban advocacy organization in the United States focused on economic empowerment, equality, and social justice for African Americans and other underserved communities.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
digital encoding scheme
ⓘ
line code ⓘ |
| advantage |
improves clock recovery when data has sufficient ones density
ⓘ
reduces DC component compared to NRZ-L for random data ⓘ robust against polarity inversion of the physical medium ⓘ |
| alsoKnownAs |
NRZ-I
ⓘ
NRZI ⓘ
surface form:
Non-Return-to-Zero Invert-on-ones
|
| applicationDomain |
computer storage
ⓘ
data communications ⓘ telecommunications ⓘ |
| belongsToClass | non-return-to-zero codes ⓘ |
| bitRepresentation |
logical 0 leaves current signal state unchanged
ⓘ
logical 1 causes inversion of current signal state ⓘ |
| category | physical layer coding ⓘ |
| dependsOn | signal transitions rather than absolute levels ⓘ |
| disadvantage |
long runs of zeros produce no transitions
ⓘ
requires additional mechanisms to ensure sufficient transitions ⓘ |
| encodingRule |
a binary 0 is represented by no transition of the signal level
ⓘ
a binary 1 is represented by a transition of the signal level ⓘ |
| fullName |
NRZI
self-linksurface differs
ⓘ
surface form:
Non-Return-to-Zero Inverted
|
| goal |
efficient binary data transmission over physical media
ⓘ
improve timing recovery compared to simple NRZ level coding ⓘ |
| hasProperty |
self-clocking only if data pattern has enough ones
ⓘ
transition occurs at bit boundaries only ⓘ two possible signal levels ⓘ |
| isDifferential | true ⓘ |
| relatedTo |
Manchester encoding
ⓘ
surface form:
Manchester code
NRZ-L ⓘ RLL (run-length limited) codes ⓘ Manchester encoding ⓘ
surface form:
biphase mark code
|
| requires | bit stuffing or run-length limiting for long sequences without transitions ⓘ |
| signalProperty | signal level does not return to a zero baseline between bits ⓘ |
| standardizedIn |
USB 2.0 specification
ⓘ
various magnetic recording standards ⓘ |
| usedIn |
HDLC-like protocols with bit stuffing
ⓘ
High-Speed USB with bit stuffing ⓘ SCSI parallel interfaces (legacy) ⓘ USB ⓘ
surface form:
USB 1.x
USB 2.0 full-speed ⓘ USB 2.0 low-speed ⓘ fiber channel variants (as a component of higher-level coding) ⓘ magnetic tape recording ⓘ older floppy disk formats ⓘ optical communication systems ⓘ serial communication links ⓘ |
| usedWith |
bipolar signaling
ⓘ
differential signaling ⓘ unipolar signaling ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: NRZI Description of subject: NRZI (Non-Return-to-Zero Inverted) is a digital line coding scheme that represents binary data by inverting the signal level on a '1' and leaving it unchanged on a '0', commonly used in various networking and storage technologies.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Non-Return-to-Zero Inverted
this entity surface form:
Non-Return-to-Zero Invert-on-ones