Triple

T17517508
Position Surface form Disambiguated ID Type / Status
Subject Raspberry Pi Pico E426603 entity
Predicate hasProcessor P12004 FINISHED
Object RP2040 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: RP2040 | Statement: [Raspberry Pi Pico, hasProcessor, RP2040]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RP2040
Context triple: [Raspberry Pi Pico, hasProcessor, RP2040]
  • A. RP2040 microcontroller chosen
    The RP2040 microcontroller is Raspberry Pi’s custom dual-core ARM Cortex-M0+ chip designed for low-cost, high-performance embedded and hobbyist applications.
  • B. 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.
  • C. PW2040
    The PW2040 is a high-bypass turbofan jet engine variant in Pratt & Whitney’s PW2000 series, commonly used to power military and cargo aircraft such as the C-17 Globemaster III.
  • D. CircuitPython
    CircuitPython is an open-source, beginner-friendly variant of Python designed by Adafruit for programming microcontrollers and embedded hardware.
  • 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 (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.