Triple

T35076583
Position Surface form Disambiguated ID Type / Status
Subject Mi Band fitness trackers E1012323 entity
Predicate pairedWithApp P181758 FINISHED
Object Mi Fit app NE NERFINISHED

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: Mi Fit app | Statement: [Mi Band fitness trackers, pairedWithApp, Mi Fit app]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pairedWithApp
Context triple: [Mi Band fitness trackers, pairedWithApp, Mi Fit app]
  • A. companionApp chosen
    Indicates that one entity functions as a companion application that complements, extends, or supports the use of another entity.
  • B. pairedWithFunctionally
    Indicates that one entity is functionally matched or coupled with another to perform a complementary or corresponding role.
  • C. pairedWithName
    Indicates that one entity is associated or matched with another entity identified by a specific name.
  • D. isCompanionAppFor
    Indicates that one application is designed to complement, extend, or interact with another primary application as its companion.
  • E. associatedWithDuo
    Indicates a relationship in which an entity is linked or connected to a specific duo, typically implying involvement, collaboration, or relevance to that pair.
  • 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_69f76dd32c008190853aef6028f60208 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7865b4684819093f95e659522b75e completed May 3, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69f7841812f081909d878955d114088e completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4:01 p.m.