Triple

T30300438
Position Surface form Disambiguated ID Type / Status
Subject UIApplicationDelegate E770637 entity
Predicate typicalImplementationClass P74636 FINISHED
Object AppDelegate 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: AppDelegate | Statement: [UIApplicationDelegate, typicalImplementationClass, AppDelegate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalImplementationClass
Context triple: [UIApplicationDelegate, typicalImplementationClass, AppDelegate]
  • A. defaultImplementationFor
    Indicates that one entity serves as the standard or fallback implementation used when no more specific implementation is provided for another entity.
  • B. typicalBaseClass
    Indicates that one class is the usual or standard superclass (base class) from which another class is typically derived.
  • C. exampleImplementation chosen
    Indicates that one entity serves as a concrete, illustrative implementation or instance of another, more general concept, design, or specification.
  • D. typicalFunctionClass
    Indicates that something belongs to the usual or characteristic functional category associated with it.
  • E. mainImplementer
    Indicates that an entity is the primary party responsible for carrying out, developing, or executing a specified action, project, or implementation.
  • 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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 7:48 p.m.