RTL433
E484045
RTL433 is an open-source software tool that decodes radio transmissions from a wide range of low-cost ISM band devices such as sensors, weather stations, and remote controls using RTL-SDR and similar receivers.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RTL433 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4980015 — 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: RTL433 Context triple: [Kismet, supportsProtocol, RTL433]
-
A.
Zigbee
Zigbee is a low-power, wireless mesh networking standard commonly used for home automation and Internet of Things (IoT) devices.
-
B.
Modbus
Modbus is a widely used serial communication protocol in industrial automation systems for connecting electronic devices and transmitting data between controllers and field instruments.
-
C.
Z-Wave
Z-Wave is a wireless communication protocol designed primarily for home automation, enabling low-power, reliable control and monitoring of smart devices such as lights, locks, and sensors.
-
D.
Wiegand
Wiegand is a surname of German origin, often appearing as a variant of the name Wigand.
-
E.
RTU
RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
- 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: RTL433 Target entity description: RTL433 is an open-source software tool that decodes radio transmissions from a wide range of low-cost ISM band devices such as sensors, weather stations, and remote controls using RTL-SDR and similar receivers.
-
A.
Zigbee
Zigbee is a low-power, wireless mesh networking standard commonly used for home automation and Internet of Things (IoT) devices.
-
B.
Modbus
Modbus is a widely used serial communication protocol in industrial automation systems for connecting electronic devices and transmitting data between controllers and field instruments.
-
C.
Z-Wave
Z-Wave is a wireless communication protocol designed primarily for home automation, enabling low-power, reliable control and monitoring of smart devices such as lights, locks, and sensors.
-
D.
Wiegand
Wiegand is a surname of German origin, often appearing as a variant of the name Wigand.
-
E.
RTU
RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
open-source software
ⓘ
radio signal decoder ⓘ software tool ⓘ |
| decodes | radio transmissions ⓘ |
| distribution |
precompiled binaries
ⓘ
source code ⓘ |
| feature |
MQTT integration
ⓘ
automatic protocol detection ⓘ device-specific decoders ⓘ frequency hopping support ⓘ logging to file ⓘ network output ⓘ support for many proprietary protocols ⓘ |
| hostPlatform |
PC
NERFINISHED
ⓘ
single-board computers ⓘ |
| input |
RF signals
ⓘ
raw IQ samples ⓘ |
| license |
GPL
NERFINISHED
ⓘ
GPL-2.0-or-later ⓘ |
| name | rtl_433 NERFINISHED ⓘ |
| operatingSystem |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| output |
CSV
ⓘ
JSON ⓘ decoded sensor data ⓘ human-readable text ⓘ |
| programmingLanguage | C ⓘ |
| supportsBand | ISM band ⓘ |
| supportsDeviceType |
door sensors
ⓘ
humidity sensors ⓘ motion sensors ⓘ power meters ⓘ remote controls ⓘ thermometers ⓘ weather stations ⓘ wireless sensors ⓘ |
| supportsFrequency |
315 MHz
ⓘ
433 MHz ⓘ 868 MHz ⓘ 915 MHz ⓘ |
| supportsHardware |
RTL-SDR
NERFINISHED
ⓘ
RTL2832U-based receivers ⓘ Software Defined Radio ⓘ other SDR receivers ⓘ |
| typicalHardware | Raspberry Pi NERFINISHED ⓘ |
| useCase |
IoT data collection
ⓘ
home automation ⓘ reverse engineering RF protocols ⓘ weather data monitoring ⓘ |
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: RTL433 Description of subject: RTL433 is an open-source software tool that decodes radio transmissions from a wide range of low-cost ISM band devices such as sensors, weather stations, and remote controls using RTL-SDR and similar receivers.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.