Triple

T22375005
Position Surface form Disambiguated ID Type / Status
Subject koa-logger E553130 entity
Predicate intendedFor P98 FINISHED
Object Koa 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: Koa web framework | Statement: [koa-logger, intendedFor, Koa web framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koa web framework
Context triple: [koa-logger, intendedFor, Koa web framework]
  • A. Koa web framework chosen
    Koa is a minimalist, modern Node.js web framework designed by TJ Holowaychuk to provide a smaller, more expressive, and robust foundation for web applications and APIs using async functions.
  • B. Koa.js community
    The Koa.js community is a group of developers and contributors who collaboratively maintain and evolve the Koa web framework for Node.js.
  • C. Koa (via adapters)
    Koa (via adapters) is a lightweight, modern Node.js web framework that can be integrated with FeathersJS through adapters to provide a flexible HTTP server layer for building APIs and web applications.
  • D. RedwoodJS
    RedwoodJS is a full-stack JavaScript/TypeScript web framework built on React, GraphQL, and Prisma, designed to streamline the development of modern, scalable applications.
  • E. FeathersJS
    FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15807cb748190abd9adc08ca1ad4f completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:45 p.m.