Triple
T4276009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESP32 microcontrollers |
E97048
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | ESP32 |
E97048
|
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: ESP32 | Statement: [ESP32 microcontrollers, hasVariant, ESP32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESP32 Context triple: [ESP32 microcontrollers, hasVariant, ESP32]
-
A.
ESP32 microcontrollers
chosen
ESP32 microcontrollers are low-cost, low-power Wi-Fi and Bluetooth-enabled system-on-chips from Espressif, widely used for IoT, embedded, and hobbyist electronics projects.
-
B.
CircuitPython
CircuitPython is an open-source, beginner-friendly variant of Python designed by Adafruit for programming microcontrollers and embedded hardware.
-
C.
ETH Board
The ETH Board is the strategic leadership and supervisory body overseeing Switzerland’s federal institutes of technology, including ETH Zurich and EPFL.
-
D.
Calliope mini
Calliope mini is a small educational microcontroller board designed to teach children and beginners programming and electronics through interactive projects.
-
E.
MicroPython
MicroPython is a lean and efficient reimplementation of the Python 3 language designed to run on microcontrollers and other resource-constrained embedded systems.
- 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.