Triple

T14395485
Position Surface form Disambiguated ID Type / Status
Subject Grails framework E356937 entity
Predicate supportsArchitecture P5090 FINISHED
Object MVC E182232 NE 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: MVC | Statement: [Grails framework, supportsArchitecture, MVC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVC
Context triple: [Grails framework, supportsArchitecture, MVC]
  • A. MVC
    MVC refers to the Missouri Valley Conference, one of the oldest NCAA Division I athletic conferences in the United States.
  • B. MVC
    MVC is a community college in Moreno Valley, California, that is part of the Riverside Community College District.
  • C. Model-View-Controller chosen
    Model-View-Controller (MVC) is a software architectural pattern that separates an application into three interconnected components—model, view, and controller—to improve modularity, testability, and maintainability.
  • D. Model-View-Presenter
    Model-View-Presenter is a software architectural pattern that separates an application into model, view, and presenter components to improve testability and maintainability, particularly in user interface code.
  • E. MVVM
    MVVM (Model–View–ViewModel) is a software architectural pattern that separates an application's user interface from its business logic and data models to improve testability, maintainability, and modularity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.