Triple
T17522097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | installer (PyPA project) |
E426698
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | virtualenv |
—
|
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: virtualenv | Statement: [installer (PyPA project), relatedTo, virtualenv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: virtualenv Context triple: [installer (PyPA project), relatedTo, virtualenv]
-
A.
virtualenv
chosen
virtualenv is a widely used Python tool that creates isolated environments to manage project-specific dependencies and avoid conflicts between packages.
-
B.
Pipenv
Pipenv is a Python packaging and dependency management tool that combines virtual environment handling with a Pipfile-based workflow to simplify and standardize project setup.
-
C.
Conda
Conda is an open-source package and environment management system widely used in the Python and data science ecosystem to install, manage, and isolate software dependencies across platforms.
-
D.
Conda
Conda is a municipality located in Cuanza Sul Province in west-central Angola.
-
E.
pip
pip is the standard command-line package manager for Python, used to install and manage software packages from the Python Package Index (PyPI) and other repositories.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.