Triple

T712768
Position Surface form Disambiguated ID Type / Status
Subject Mobvoi E14245 entity
Predicate hasFeatureInProducts P182 FINISHED
Object fitness tracking 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: fitness tracking | Statement: [Mobvoi, hasFeatureInProducts, fitness tracking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFeatureInProducts
Context triple: [Mobvoi, hasFeatureInProducts, fitness tracking]
  • A. hasProduct
    Indicates that an entity possesses, offers, or is associated with a particular product.
  • B. supportsProduct
    Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
  • C. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • D. featuresSupporter
    Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69a4a4f221b081909fbaa689fb20eb3e completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:36 p.m.