Triple
T30015764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeagleBone Black |
E762589
|
entity |
| Predicate | supportsBoneScript |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBoneScript Context triple: [BeagleBone Black, supportsBoneScript, true]
-
A.
hasDevelopmentBoard
Indicates that an entity is associated with, or supported by, a specific development board used for building or testing hardware or software.
-
B.
hasOnboardLED
Indicates that an entity includes an LED that is physically integrated into its hardware.
-
C.
hardwarePlatformFor
Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
-
D.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
-
E.
supportsOnChipNetworking
Indicates that one entity provides or enables integrated networking capabilities directly on a chip for another entity.
- F. None of above. chosen
Provenance (1 batch)
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. |
Created at: April 29, 2026, 6:45 p.m.