Triple

T299642
Position Surface form Disambiguated ID Type / Status
Subject USB Power Delivery E6169 entity
Predicate supportsBatteryCharging P5993 FINISHED
Object laptops 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: laptops | Statement: [USB Power Delivery, supportsBatteryCharging, laptops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsBatteryCharging
Context triple: [USB Power Delivery, supportsBatteryCharging, laptops]
  • A. hasPowerSource
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • B. hasBackupBattery
    Indicates that an entity is equipped with an additional battery intended to provide power when the primary power source is unavailable or fails.
  • C. supportsPowerDelivery chosen
    Indicates that one entity is capable of providing electrical power to another entity through a compatible interface or connection.
  • D. hasElectricCharge
    Indicates that an entity possesses a nonzero electric charge as a physical property.
  • E. fastChargingCapability
    Indicates that an entity has the ability to charge at a higher-than-standard power rate, significantly reducing the time needed to reach a usable or full charge.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
PD Predicate disambiguation batch_69a2e9398df08190af40063a2de7a1d0 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.