Triple

T17568364
Position Surface form Disambiguated ID Type / Status
Subject actix-router E427874 entity
Predicate ecosystem P964 FINISHED
Object Actix Web 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: Actix Web | Statement: [actix-router, ecosystem, Actix Web]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Actix Web
Context triple: [actix-router, ecosystem, Actix Web]
  • A. actix-web chosen
    actix-web is a powerful, asynchronous web framework for the Rust programming language, known for its high performance and strong type safety.
  • B. actix-http
    actix-http is a low-level HTTP library in the Actix ecosystem that provides the core HTTP protocol handling and primitives used by the Actix Web framework.
  • C. actix-router
    actix-router is the routing component of the Actix ecosystem, responsible for matching HTTP requests to the appropriate handlers in Rust web applications.
  • D. Uvicorn
    Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
  • E. Akka HTTP
    Akka HTTP is a toolkit for building asynchronous, high-performance HTTP-based services and clients on the JVM, leveraging Akka’s actor and streaming capabilities.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.