Triple
T5838692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pylons Project |
E129538
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object | PasteDeploy |
E552004
|
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: PasteDeploy | Statement: [Pylons Project, develops, PasteDeploy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PasteDeploy Context triple: [Pylons Project, develops, PasteDeploy]
-
A.
PasteDeploy
chosen
PasteDeploy is a Python library that provides a standard way to configure and load WSGI applications and middleware via declarative configuration files.
-
B.
Cloud Deploy
Cloud Deploy is Google Cloud’s managed continuous delivery service for automating and managing application releases to various deployment targets such as Kubernetes clusters.
-
C.
Werkzeug
Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
-
D.
Toesca
Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
-
E.
pipx
pipx is a Python tool that installs and runs Python applications in isolated environments, making it easy to manage and execute command-line utilities without polluting system-wide packages.
- 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.