Triple
T1475917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zigbee |
E30839
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
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.
|
E168859
|
NE FINISHED |
How this triple was built (4 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: Z-Wave | Statement: [Zigbee, competesWith, Z-Wave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z-Wave Context triple: [Zigbee, competesWith, Z-Wave]
-
A.
Zigbee
Zigbee is a low-power, wireless mesh networking standard commonly used for home automation and Internet of Things (IoT) devices.
-
B.
SmartThings
SmartThings is a smart home platform that connects and controls a wide range of compatible devices through a unified app and ecosystem.
-
C.
WSN
WSN is the standard abbreviation used for the Washington Nationals Major League Baseball team.
-
D.
WirelessHART
WirelessHART is an industrial wireless communication standard designed for reliable, secure, and interoperable field device networking in process automation environments.
-
E.
Cbus
Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Z-Wave Triple: [Zigbee, competesWith, Z-Wave]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Z-Wave Target entity description: 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.
-
A.
Zigbee
Zigbee is a low-power, wireless mesh networking standard commonly used for home automation and Internet of Things (IoT) devices.
-
B.
SmartThings
SmartThings is a smart home platform that connects and controls a wide range of compatible devices through a unified app and ecosystem.
-
C.
WSN
WSN is the standard abbreviation used for the Washington Nationals Major League Baseball team.
-
D.
WirelessHART
WirelessHART is an industrial wireless communication standard designed for reliable, secure, and interoperable field device networking in process automation environments.
-
E.
Cbus
Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
- F. None of above. chosen
Provenance (5 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c602387c8190b97a20c8e05e3d16 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15ab9430819094deb90436983036 |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad1618cfa48190b0050e8451e9cd48 |
completed | March 8, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1689940c8190ba611a74955033d2 |
completed | March 8, 2026, 6:26 a.m. |
Created at: March 1, 2026, 8:11 p.m.