Triple

T19352058
Position Surface form Disambiguated ID Type / Status
Subject RTL433 E484045 entity
Predicate typicalHardware P103353 FINISHED
Object Raspberry Pi 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: Raspberry Pi | Statement: [RTL433, typicalHardware, Raspberry Pi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raspberry Pi
Context triple: [RTL433, typicalHardware, Raspberry Pi]
  • A. Raspberry Pi chosen
    Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
  • B. BeagleBone Black
    BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
  • C. Broadcom BCM2763
    The Broadcom BCM2763 is a mobile multimedia processor and graphics chip designed to accelerate high-definition video and advanced graphics in smartphones and portable devices.
  • 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. Pandaboard
    Pandaboard is a low-power, ARM-based single-board computer designed for development and experimentation with operating systems and embedded applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalHardware
Context triple: [RTL433, typicalHardware, Raspberry Pi]
  • A. hardwareUsed
    Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
  • B. hardwareUsedBy
    Indicates that a piece of hardware is utilized or operated by a particular entity (such as a person, system, or organization).
  • C. typicalCPU
    Indicates that an entity uses or is associated with a standard or commonly used CPU for its type or category.
  • D. hasHardwareCompatibilityWith
    Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
  • E. hasHardware chosen
    Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
  • F. None of above.

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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69e4dd13a8cc81909cd02668564c9f29 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 1:34 p.m.