Triple

T18051726
Position Surface form Disambiguated ID Type / Status
Subject Werkzeug E431938 entity
Predicate distributes P1951 FINISHED
Object PyPI package "Werkzeug" 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: PyPI package "Werkzeug" | Statement: [Werkzeug, distributes, PyPI package "Werkzeug"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PyPI package "Werkzeug"
Context triple: [Werkzeug, distributes, PyPI package "Werkzeug"]
  • A. Werkzeug WSGI utility library
    Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
  • B. Werkzeug chosen
    Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
  • C. Python Package Index
    The Python Package Index (PyPI) is the central online repository where developers publish and download open-source Python software packages.
  • D. Python Packaging Authority
    The Python Packaging Authority is a working group that oversees and develops key tools, standards, and infrastructure for packaging and distributing Python software.
  • E. Python packaging ecosystem
    The Python packaging ecosystem is the collection of tools, standards, and services that enable building, distributing, and installing Python software packages, including components like package formats, repositories, and upload utilities.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0fe4f1881908fa8485cb3ccfa44 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:25 a.m.