Triple
T30015733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeagleBone Black |
E762589
|
entity |
| Predicate | gpioPins |
P83883
|
FINISHED |
| Object | 2×46-pin headers |
—
|
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: 2×46-pin headers | Statement: [BeagleBone Black, gpioPins, 2×46-pin headers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gpioPins Context triple: [BeagleBone Black, gpioPins, 2×46-pin headers]
-
A.
pioCount
Indicates the number of PIO (e.g., process I/O or peripheral I/O) operations or units associated with an entity.
-
B.
pinCount
Indicates the number of pins associated with or assigned to a given entity.
-
C.
pins
Indicates that one entity fastens, secures, or immobilizes another entity in place, typically using a pin-like object or mechanism.
-
D.
signalGroundPins
Indicates that certain pins serve as ground reference connections for signal-carrying pins in an electrical or electronic interface.
-
E.
gpioCount
chosen
Indicates the number of GPIO (general-purpose input/output) pins or lines associated with a given hardware component or system.
- 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.