Triple
T957726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thread |
E20659
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Bluetooth Mesh |
E40780
|
NE 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: Bluetooth Mesh | Statement: [Thread, competesWith, Bluetooth Mesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bluetooth Mesh Context triple: [Thread, competesWith, Bluetooth Mesh]
-
A.
Zigbee
Zigbee is a low-power, wireless mesh networking standard commonly used for home automation and Internet of Things (IoT) devices.
-
B.
Bluetooth
chosen
Bluetooth is a short-range wireless communication technology standard used to connect and exchange data between devices such as phones, computers, headphones, and peripherals.
-
C.
WirelessHART
WirelessHART is an industrial wireless communication standard designed for reliable, secure, and interoperable field device networking in process automation environments.
-
D.
Mopria
Mopria is a universal mobile printing standard that enables seamless, driverless printing from devices like smartphones, tablets, and Chromebooks to compatible printers.
-
E.
WSN
WSN is the standard abbreviation used for the Washington Nationals Major League Baseball team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3fac2bc8190a66feb70c68899b2 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933b259d08190b03989e2b1575085 |
completed | March 5, 2026, 7:41 a.m. |
Created at: March 1, 2026, 7:40 p.m.