Triple

T17598139
Position Surface form Disambiguated ID Type / Status
Subject ESP32-DevKitC E428625 entity
Predicate supportsProgrammingLanguage P1592 FINISHED
Object MicroPython NE NERFINISHED

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: MicroPython | Statement: [ESP32-DevKitC, supportsProgrammingLanguage, MicroPython]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MicroPython
Context triple: [ESP32-DevKitC, supportsProgrammingLanguage, MicroPython]
  • A. MicroPython chosen
    MicroPython is a lean and efficient reimplementation of the Python 3 language designed to run on microcontrollers and other resource-constrained embedded systems.
  • B. CircuitPython
    CircuitPython is an open-source, beginner-friendly variant of Python designed by Adafruit for programming microcontrollers and embedded hardware.
  • C. pyboard
    The pyboard is a compact microcontroller development board designed to run MicroPython for easy embedded systems programming.
  • D. Raspberry Pi Pico
    Raspberry Pi Pico is a low-cost, microcontroller-based development board from the Raspberry Pi Foundation built around the RP2040 chip for embedded and hobbyist projects.
  • E. RP2040 microcontroller
    The RP2040 microcontroller is Raspberry Pi’s custom dual-core ARM Cortex-M0+ chip designed for low-cost, high-performance embedded and hobbyist applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.