Triple

T17517536
Position Surface form Disambiguated ID Type / Status
Subject Raspberry Pi Pico E426603 entity
Predicate hasOnboardRegulator P36407 FINISHED
Object true LITERAL 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: true | Statement: [Raspberry Pi Pico, hasOnboardRegulator, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOnboardRegulator
Context triple: [Raspberry Pi Pico, hasOnboardRegulator, true]
  • A. hasOnboardSwitch
    Indicates that one entity is equipped with a built-in switch located on or within it.
  • B. hasOnboardFeature chosen
    Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
  • C. hasOnboardButton
    Indicates that one entity is equipped with or includes a button installed on or within it.
  • D. hasRegulatedBy
    Indicates that one entity is subject to control, governance, or rules imposed by another entity.
  • E. hasBroadcastRegulator
    Indicates that one entity serves as the broadcast regulatory authority or body responsible for overseeing or controlling the broadcasting activities of another entity.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452615a8481909974e9855ea7a8e4 completed April 19, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.