Triple

T18015760
Position Surface form Disambiguated ID Type / Status
Subject Bottle E430994 entity
Predicate supports P516 FINISHED
Object gevent NE NERFINISHED

How this triple was built (3 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: gevent | Statement: [Bottle, supports, gevent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gevent
Context triple: [Bottle, supports, gevent]
  • A. Werkzeug
    Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
  • B. asgiref
    asgiref is a Python library that provides reference implementations and utilities for working with the ASGI (Asynchronous Server Gateway Interface) specification, commonly used in asynchronous web frameworks like Django and Starlette.
  • C. Twisted Python framework
    Twisted Python framework is an event-driven networking engine for Python that simplifies writing scalable, asynchronous networked applications and servers.
  • D. Werkzeug WSGI utility library
    Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
  • E. Uvicorn
    Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: gevent
Target entity description: gevent is a Python networking library that provides a high-level synchronous API on top of libev or libuv using lightweight greenlets for concurrent I/O.
  • A. Werkzeug
    Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
  • B. asgiref
    asgiref is a Python library that provides reference implementations and utilities for working with the ASGI (Asynchronous Server Gateway Interface) specification, commonly used in asynchronous web frameworks like Django and Starlette.
  • C. Twisted Python framework
    Twisted Python framework is an event-driven networking engine for Python that simplifies writing scalable, asynchronous networked applications and servers.
  • D. Werkzeug WSGI utility library
    Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
  • E. Uvicorn
    Uvicorn is a high-performance, ASGI-compatible web server implementation for Python, commonly used to run modern async frameworks and applications.
  • F. None of above. chosen

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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.