Triple

T30481881
Position Surface form Disambiguated ID Type / Status
Subject Canon EOS R5 E775608 entity
Predicate supportsUSBCharging P170788 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: [Canon EOS R5, supportsUSBCharging, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsUSBCharging
Context triple: [Canon EOS R5, supportsUSBCharging, true]
  • A. hasUSBCharging chosen
    Indicates that one entity provides or supports USB-based power charging capability for another entity or device.
  • B. supportsChargingMethod
    Indicates that one entity is compatible with and can operate using a specified charging method.
  • C. supportsWirelessCharging
    Indicates that one entity provides the capability for another entity to be charged without a physical wired connection, typically via inductive or similar wireless power transfer methods.
  • D. supportsChargingStandard
    Indicates that one entity is compatible with and able to operate using a specified charging standard defined by another entity.
  • E. supportsChargingModel
    Indicates that one entity is compatible with, or able to operate under, a specified charging or billing model.
  • 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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e2fac0819089b522db3260028c completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 8:12 p.m.