Triple

T3789567
Position Surface form Disambiguated ID Type / Status
Subject Pixel 8a E89611 entity
Predicate hasBatteryCapacity P8443 FINISHED
Object about 4500 mAh 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: about 4500 mAh | Statement: [Pixel 8a, hasBatteryCapacity, about 4500 mAh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBatteryCapacity
Context triple: [Pixel 8a, hasBatteryCapacity, about 4500 mAh]
  • A. batteryCapacity chosen
    Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
  • 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. batteryType
    Indicates the specific kind or category of battery associated with or used by an entity.
  • D. batteryLife
    Indicates how long a device can operate on a single charge or set of batteries before needing to be recharged or replaced.
  • E. hasPowerSource
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69aee743c8d08190a9f9c97b836bd703 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:15 p.m.