Triple

T8178412
Position Surface form Disambiguated ID Type / Status
Subject inDrive E190997 entity
Predicate appFunctionality P40816 FINISHED
Object real-time ride requests 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: real-time ride requests | Statement: [inDrive, appFunctionality, real-time ride requests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appFunctionality
Context triple: [inDrive, appFunctionality, real-time ride requests]
  • A. providesFunctionalityOf chosen
    Indicates that one entity supplies, implements, or makes available the capabilities or functions that are normally associated with another entity.
  • B. applicationRequirement
    Indicates that one entity specifies a condition or prerequisite that must be met for the use, approval, or execution of another entity or process.
  • C. featuresService
    Indicates that one entity provides, includes, or offers a particular service as a notable characteristic or component.
  • D. featuresAction
    Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
  • E. programUse
    Indicates that one entity uses, employs, or makes use of a particular program or software application.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abb66bc81908d758c7af2e23ac6 completed March 31, 2026, 4:16 a.m.
PD Predicate disambiguation batch_69cb36a7952481908f34e3e82f375a84 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:40 p.m.