Triple

T12480337
Position Surface form Disambiguated ID Type / Status
Subject EMUI E298286 entity
Predicate usedOnDeviceBrand P101205 FINISHED
Object Huawei smartphones 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: Huawei smartphones | Statement: [EMUI, usedOnDeviceBrand, Huawei smartphones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedOnDeviceBrand
Context triple: [EMUI, usedOnDeviceBrand, Huawei smartphones]
  • A. usedOnBrand chosen
    Indicates that something (such as a product, material, or element) is applied to, associated with, or utilized in connection with a particular brand.
  • B. usesDevice
    Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
  • C. usedInDeviceFamily
    Indicates that something (such as a component, technology, or feature) is employed or incorporated within a particular family of related devices.
  • D. usedInDeviceModel
    Indicates that something (such as a component, material, or technology) is utilized within or incorporated into a particular device model.
  • E. usedBrandOf
    Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e626dbc8190ac7dcdb542ba9b0c completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d3f701c81909dd0e00251ac8553 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:56 p.m.