Triple

T7665292
Position Surface form Disambiguated ID Type / Status
Subject Adapter E173608 entity
Predicate exampleUseCase P19962 FINISHED
Object Adapting a legacy logging library to a new logging interface 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: Adapting a legacy logging library to a new logging interface | Statement: [Adapter, exampleUseCase, Adapting a legacy logging library to a new logging interface]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exampleUseCase
Context triple: [Adapter, exampleUseCase, Adapting a legacy logging library to a new logging interface]
  • A. toolUseExamples
    Indicates that one entity provides example instances or demonstrations of how a particular tool is or can be used by another entity.
  • B. exampleApplication
    Indicates that something serves as a representative or illustrative instance of how an application is used or functions.
  • C. hasUseCase chosen
    Indicates that one entity is employed, applied, or utilized as a solution or method to address a particular need, problem, or scenario associated with another entity.
  • D. exampleType
    Indicates that one entity serves as a representative or illustrative instance of the type or category defined by another entity.
  • E. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 4 p.m.