Triple

T22375022
Position Surface form Disambiguated ID Type / Status
Subject koa-logger E553130 entity
Predicate compatibleWith P203 FINISHED
Object Node.js HTTP server 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: Node.js HTTP server | Statement: [koa-logger, compatibleWith, Node.js HTTP server]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Node.js HTTP server
Context triple: [koa-logger, compatibleWith, Node.js HTTP server]
  • A. Node.js
    Node.js is an open-source, cross-platform runtime environment that allows developers to execute JavaScript code on the server side.
  • B. Express.js
    Express.js is a minimalist and flexible Node.js web application framework used to build APIs and server-side applications.
  • C. HTTP Server Request Handlers chosen
    HTTP Server Request Handlers are components in web applications responsible for receiving HTTP requests, processing them (often via middleware), and generating appropriate HTTP responses.
  • D. Socket.io
    Socket.io is a JavaScript library that enables real-time, bidirectional, event-based communication between web clients and servers over WebSockets and fallback transports.
  • E. Cowboy web server
    Cowboy web server is a small, fast, and modern HTTP server written in Erlang, commonly used in the Elixir ecosystem for building scalable web applications.
  • 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.