Triple
T30015731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeagleBone Black |
E762589
|
entity |
| Predicate | ethernetPort |
P62623
|
FINISHED |
| Object | 10/100 Mbps RJ45 |
—
|
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: 10/100 Mbps RJ45 | Statement: [BeagleBone Black, ethernetPort, 10/100 Mbps RJ45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethernetPort Context triple: [BeagleBone Black, ethernetPort, 10/100 Mbps RJ45]
-
A.
routerEthernetPorts
Indicates the association between a router and its available Ethernet ports.
-
B.
integrated10GbEthernetPorts
Indicates that the subject has built-in 10-gigabit Ethernet ports as part of its hardware configuration.
-
C.
energyEfficientEthernetStandard
Indicates that the subject conforms to or supports the Energy-Efficient Ethernet (EEE) standard for reducing power consumption in Ethernet networking.
-
D.
connectionPort
chosen
Indicates a specific port through which two components, systems, or devices are connected or can communicate.
-
E.
portNumber
Indicates the specific communication port assigned to a network connection, service, or endpoint.
- F. None of above.
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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f679844114819097242d623e723e4a |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:45 p.m.