Triple

T18015711
Position Surface form Disambiguated ID Type / Status
Subject WSGIRestrictProcess E430993 entity
Predicate relatedTo P37 FINISHED
Object WSGIProcessGroup 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: WSGIProcessGroup | Statement: [WSGIRestrictProcess, relatedTo, WSGIProcessGroup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSGIProcessGroup
Context triple: [WSGIRestrictProcess, relatedTo, WSGIProcessGroup]
  • A. Gunicorn (with ASGI workers)
    Gunicorn (with ASGI workers) is a Python WSGI/ASGI HTTP server that can run asynchronous web frameworks like FastAPI in a robust, production-ready environment.
  • B. WSGI
    WSGI (Web Server Gateway Interface) is a Python standard that defines a common interface between web servers and Python web applications or frameworks.
  • C. uWSGI
    uWSGI is a high-performance application server commonly used to run Python web applications in production, often sitting between web frameworks and web servers like Nginx.
  • D. mod_wsgi chosen
    mod_wsgi is an Apache HTTP Server module that hosts Python-based web applications using the WSGI interface, commonly used to deploy frameworks like Flask and Django in production.
  • E. Waitress WSGI server
    Waitress WSGI server is a production-quality, pure-Python WSGI server designed for serving Python web applications simply and reliably.
  • 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_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.