Triple

T22650597
Position Surface form Disambiguated ID Type / Status
Subject React Router v5 E559080 entity
Predicate hasComponent P35 FINISHED
Object MemoryRouter 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: MemoryRouter | Statement: [React Router v5, hasComponent, MemoryRouter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MemoryRouter
Context triple: [React Router v5, hasComponent, MemoryRouter]
  • A. React Router chosen
    React Router is a popular routing library for React applications that enables declarative, client-side navigation and URL management in single-page apps.
  • B. Cofiroute
    Cofiroute is a French toll road concession company that finances, builds, and operates motorway and tunnel infrastructure.
  • C. Angular Router
    Angular Router is the official routing library for Angular applications, providing navigation, URL management, and lazy loading of modules for single-page apps.
  • D. Vue Router
    Vue Router is the official routing library for Vue.js applications, enabling client-side navigation, nested routes, and dynamic route matching.
  • E. Ember Router
    Ember Router is the central routing system in Ember.js that maps URLs to application states and coordinates which templates, controllers, and components are displayed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703b40b88190aec5cf2fa28bfcbf completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.