Triple
T30015738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeagleBone Black |
E762589
|
entity |
| Predicate | supportsUART |
P85938
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [BeagleBone Black, supportsUART, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUART Context triple: [BeagleBone Black, supportsUART, true]
-
A.
supportsPort
Indicates that one entity is capable of handling, providing, or being compatible with a specified port or port configuration.
-
B.
usbFeatures
Indicates that there exists a relationship specifying the USB-related capabilities or characteristics supported by an entity.
-
C.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
-
D.
hasSerialPort
chosen
Indicates that an entity is equipped with or includes a serial port interface.
-
E.
supportsBluetoothCodec
Indicates that one entity is capable of using or is compatible with a specified Bluetooth audio codec in its operation or communication.
- 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_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:45 p.m.