Triple
T17675080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerves |
E440624
|
entity |
| Predicate | supportsHardware |
P5090
|
FINISHED |
| Object | BeagleBone Black |
E762589
|
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: BeagleBone Black | Statement: [Nerves, supportsHardware, BeagleBone Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BeagleBone Black Context triple: [Nerves, supportsHardware, BeagleBone Black]
-
A.
BeagleBone Black
chosen
BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
-
B.
BeagleBoard
BeagleBoard is a low-power, open-hardware single-board computer designed for embedded systems, prototyping, and educational use.
-
C.
Raspberry Pi
Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
-
D.
Pandaboard
Pandaboard is a low-power, ARM-based single-board computer designed for development and experimentation with operating systems and embedded applications.
-
E.
Curiosity development board
The Curiosity development board is a low-cost, feature-rich prototyping platform from Microchip designed to simplify evaluation and development with PIC microcontrollers.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6cca54819094ea0bed1517724e |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023016caf4819092c676c0105dcfd4 |
completed | May 11, 2026, 7:37 p.m. |
Created at: April 10, 2026, 10 a.m.