Triple
T22330240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyramid (web framework) |
E552003
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object | repoze.bfg |
—
|
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: repoze.bfg | Statement: [Pyramid (web framework), previousName, repoze.bfg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: repoze.bfg Context triple: [Pyramid (web framework), previousName, repoze.bfg]
-
A.
repoze.bfg
chosen
repoze.bfg is the former name of Pyramid, a lightweight Python web framework focused on flexibility and scalability.
-
B.
WebOb
WebOb is a Python library that provides a WSGI-based abstraction layer for HTTP request and response handling in web applications.
-
C.
TurboGears
TurboGears is a Python-based web application framework designed to simplify the rapid development of scalable, database-driven web applications.
-
D.
Werkzeug WSGI utility library
Werkzeug WSGI utility library is a comprehensive Python toolkit that provides utilities for building WSGI-compliant web applications and frameworks.
-
E.
Pylons web framework
Pylons is a lightweight, Python-based web framework focused on flexibility and reusability, combining components from multiple libraries to build web applications.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577a9c348190b8662142afa832be |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.