Triple

T17675707
Position Surface form Disambiguated ID Type / Status
Subject Hanami::Router E440637 entity
Predicate partOf P40 FINISHED
Object Hanami web framework 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: Hanami web framework | Statement: [Hanami::Router, partOf, Hanami web framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanami web framework
Context triple: [Hanami::Router, partOf, Hanami web framework]
  • A. Hanami chosen
    Hanami is a lightweight, modular Ruby web framework focused on simplicity, performance, and clear architecture for building web applications.
  • B. Hanami::View
    Hanami::View is the presentation layer component of the Hanami Ruby web framework, responsible for rendering templates and encapsulating view logic.
  • C. The Rack
    The Rack is a 1956 courtroom drama film about the psychological and moral aftermath of a Korean War veteran’s imprisonment and alleged collaboration with the enemy.
  • D. Ruby on Rails
    Ruby on Rails is a popular open-source web application framework that emphasizes convention over configuration and rapid development for building database-backed applications.
  • E. Hanami::Controller
    Hanami::Controller is a component of the Hanami Ruby web framework responsible for handling HTTP requests, executing application logic, and coordinating responses between the router and views.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6cca54819094ea0bed1517724e completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.