Triple

T17517397
Position Surface form Disambiguated ID Type / Status
Subject PlatformIO E426601 entity
Predicate supportsBoard P48616 FINISHED
Object Arduino Mega NE NERFINISHED

How this triple was built (3 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: Arduino Mega | Statement: [PlatformIO, supportsBoard, Arduino Mega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arduino Mega
Context triple: [PlatformIO, supportsBoard, Arduino Mega]
  • A. Arduino Leonardo (ATmega32U4)
    The Arduino Leonardo (ATmega32U4) is a microcontroller development board based on the ATmega32U4 chip that features native USB support, allowing it to emulate keyboard and mouse inputs directly to a computer.
  • B. Arduino platforms
    Arduino platforms are open-source electronics prototyping boards and ecosystems designed to simplify building interactive hardware projects for hobbyists, educators, and professionals.
  • 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. Arduino core for SAMD
    Arduino core for SAMD is a software framework that enables programming and running Arduino sketches on SAMD-series ARM Cortex-M0+ microcontrollers, providing standard Arduino APIs and board support.
  • E. Adafruit Feather M0 boards
    Adafruit Feather M0 boards are compact, Arduino-compatible microcontroller development boards designed by Adafruit for low-power, battery-friendly embedded and IoT projects.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arduino Mega
Target entity description: Arduino Mega is a microcontroller development board based on the ATmega2560, offering a large number of digital and analog I/O pins for complex electronics and embedded projects.
  • A. Arduino Leonardo (ATmega32U4)
    The Arduino Leonardo (ATmega32U4) is a microcontroller development board based on the ATmega32U4 chip that features native USB support, allowing it to emulate keyboard and mouse inputs directly to a computer.
  • B. Arduino platforms
    Arduino platforms are open-source electronics prototyping boards and ecosystems designed to simplify building interactive hardware projects for hobbyists, educators, and professionals.
  • 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. Arduino core for SAMD
    Arduino core for SAMD is a software framework that enables programming and running Arduino sketches on SAMD-series ARM Cortex-M0+ microcontrollers, providing standard Arduino APIs and board support.
  • E. Adafruit Feather M0 boards
    Adafruit Feather M0 boards are compact, Arduino-compatible microcontroller development boards designed by Adafruit for low-power, battery-friendly embedded and IoT projects.
  • F. None of above. chosen

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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452615a8481909974e9855ea7a8e4 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.