Triple
T5838712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pylons Project |
E129538
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | WebOb library |
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 library | Statement: [Pylons Project, hasComponent, WebOb library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WebOb library Context triple: [Pylons Project, hasComponent, WebOb library]
-
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_69c0bfce88f88190bbc78ce9c7c3c107 |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:54 p.m.