Triple

T5838686
Position Surface form Disambiguated ID Type / Status
Subject Pylons Project E129538 entity
Predicate develops P73 FINISHED
Object WebOb
WebOb is a Python library that provides a WSGI-based abstraction layer for HTTP request and response handling in web applications.
E552005 NE FINISHED

How this triple was built (4 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, develops, WebOb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WebOb
Context triple: [Pylons Project, develops, WebOb]
  • 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. web.py
    web.py is a minimalist Python web framework created by Aaron Swartz, designed to make building web applications simple and lightweight.
  • C. wsgiref
    wsgiref is a Python standard library package that provides reference implementations and utilities for working with WSGI-compatible web applications and servers.
  • D. WSGI
    WSGI (Web Server Gateway Interface) is a Python standard that defines a common interface between web servers and Python web applications or frameworks.
  • E. repoze.bfg
    repoze.bfg is the former name of Pyramid, a lightweight Python web framework focused on flexibility and scalability.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WebOb
Triple: [Pylons Project, develops, WebOb]
Generated description
WebOb is a Python library that provides a WSGI-based abstraction layer for HTTP request and response handling in web applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WebOb
Target entity description: WebOb is a Python library that provides a WSGI-based abstraction layer for HTTP request and response handling in web applications.
  • 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. web.py
    web.py is a minimalist Python web framework created by Aaron Swartz, designed to make building web applications simple and lightweight.
  • C. wsgiref
    wsgiref is a Python standard library package that provides reference implementations and utilities for working with WSGI-compatible web applications and servers.
  • D. WSGI
    WSGI (Web Server Gateway Interface) is a Python standard that defines a common interface between web servers and Python web applications or frameworks.
  • E. repoze.bfg
    repoze.bfg is the former name of Pyramid, a lightweight Python web framework focused on flexibility and scalability.
  • F. None of above. chosen

Provenance (5 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_69c0a19a6554819086cdae499f4d2247 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a5ce005c8190a7da8d337caa089c completed March 23, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0a62cadf481909007a2a16cd36dbf completed March 23, 2026, 2:32 a.m.
Created at: March 22, 2026, 3:54 p.m.