Triple

T15264574
Position Surface form Disambiguated ID Type / Status
Subject Nimbus E364865 entity
Predicate isDesignedFor P9494 FINISHED
Object Raspberry Pi E277066 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: Raspberry Pi | Statement: [Nimbus, isDesignedFor, Raspberry Pi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raspberry Pi
Context triple: [Nimbus, isDesignedFor, 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.

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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fdc21881909d87062db6fb8fb7 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.