Triple

T5838697
Position Surface form Disambiguated ID Type / Status
Subject Pylons Project E129538 entity
Predicate maintains P1580 FINISHED
Object WebOb E552005 NE FINISHED

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: WebOb | Statement: [Pylons Project, maintains, WebOb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WebOb
Context triple: [Pylons Project, maintains, WebOb]
  • A. WebOb chosen
    WebOb is a Python library that provides a WSGI-based abstraction layer for HTTP request and response handling in web applications.
  • B. Werkzeug WSGI utility library
    Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
  • C. web.py
    web.py is a minimalist Python web framework created by Aaron Swartz, designed to make building web applications simple and lightweight.
  • D. wsgiref
    wsgiref is a Python standard library package that provides reference implementations and utilities for working with WSGI-compatible web applications and servers.
  • E. WSGI
    WSGI (Web Server Gateway Interface) is a Python standard that defines a common interface between web servers and Python web applications or frameworks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0f371008190b11cd4da8a55dbb9 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:54 p.m.