Triple

T5895094
Position Surface form Disambiguated ID Type / Status
Subject Koa E131081 entity
Predicate ecosystem P964 FINISHED
Object koa-logger
koa-logger is a middleware package for the Koa web framework that provides concise, customizable HTTP request logging for Node.js applications.
 E553130 NE FINISHED

How this triple was built (4 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-logger | Statement: [Koa, ecosystem, koa-logger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: koa-logger
Context triple: [Koa, ecosystem, koa-logger]
  • A. FeathersJS
    FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
  • B. Express.js
    Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
  • C. Sails.js
    Sails.js is a Node.js MVC framework designed for building data-driven, real-time web applications with a structure similar to frameworks like Ruby on Rails.
  • D. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • E. Werkzeug WSGI utility library
    Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: koa-logger
Triple: [Koa, ecosystem, koa-logger]
Generated description
koa-logger is a middleware package for the Koa web framework that provides concise, customizable HTTP request logging for Node.js applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: koa-logger
Target entity description: koa-logger is a middleware package for the Koa web framework that provides concise, customizable HTTP request logging for Node.js applications.
  • A. FeathersJS
    FeathersJS is a lightweight, real-time microservices framework for Node.js that simplifies building REST and WebSocket APIs.
  • B. Express.js
    Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
  • C. Sails.js
    Sails.js is a Node.js MVC framework designed for building data-driven, real-time web applications with a structure similar to frameworks like Ruby on Rails.
  • D. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • E. Werkzeug WSGI utility library
    Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
  • F. None of above. chosen

Provenance (5 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b1558fa48190a6ecde69c1477863 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2442bf881908aeaecb46463e32d completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b2bc8b9c8190ab642d317056b1de completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.