Triple
T4276076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pyboard |
E97049
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | pyboard v1.0 |
E97049
|
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: pyboard v1.0 | Statement: [pyboard, hasVariant, pyboard v1.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: pyboard v1.0 Context triple: [pyboard, hasVariant, pyboard v1.0]
-
A.
pyboard
chosen
The pyboard is a compact microcontroller development board designed to run MicroPython for easy embedded systems programming.
-
B.
MicroPython
MicroPython is a lean and efficient reimplementation of the Python 3 language designed to run on microcontrollers and other resource-constrained embedded systems.
-
C.
CircuitPython
CircuitPython is an open-source, beginner-friendly variant of Python designed by Adafruit for programming microcontrollers and embedded hardware.
-
D.
Adafruit Circuit Playground Express
Adafruit Circuit Playground Express is an educational, all-in-one microcontroller board with built-in sensors, LEDs, and buttons designed to teach coding and electronics to beginners and students.
-
E.
ETH Board
The ETH Board is the strategic leadership and supervisory body overseeing Switzerland’s federal institutes of technology, including ETH Zurich and EPFL.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501d677481909e7416a1d2b0008c |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b3b52c8190ae7c05448faf5558 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.