Triple

T30481767
Position Surface form Disambiguated ID Type / Status
Subject Huawei P40 Lite E775606 entity
Predicate quaternaryRearCamera P104378 FINISHED
Object 2 MP depth sensor 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: 2 MP depth sensor | Statement: [Huawei P40 Lite, quaternaryRearCamera, 2 MP depth sensor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: quaternaryRearCamera
Context triple: [Huawei P40 Lite, quaternaryRearCamera, 2 MP depth sensor]
  • A. rearCameraFeature
    Indicates that an entity has a specific characteristic, capability, or attribute related to its rear-facing camera.
  • B. rearCameraType
    Indicates the specific kind or configuration of camera system located on the rear side of an object or device.
  • C. rearCameraUltraWideAperture
    Indicates the aperture size specification of a device’s ultra-wide rear camera lens.
  • D. hasSecondaryCamera chosen
    Indicates that an entity is equipped with or associated with an additional, non-primary camera.
  • E. rearCameraUltraWideResolution
    Indicates the resolution specification of the device’s rear ultra-wide camera.
  • 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_69f68742cc6481908be525603fb6ba97 completed May 2, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69f678d2196c8190b9d0d2fcd47cc539 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 8:12 p.m.