Triple

T1832630
Position Surface form Disambiguated ID Type / Status
Subject Calliope mini E40792 entity
Predicate programmingLanguage P1592 FINISHED
Object MicroPython E17655 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: MicroPython | Statement: [Calliope mini, programmingLanguage, MicroPython]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MicroPython
Context triple: [Calliope mini, programmingLanguage, 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. ESP32 microcontrollers
    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.
  • E. 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.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb024287c8190b68aa070e556a381 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b4b4f08190a0e5ad50de5c0ba8 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.