Triple
T17557410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python packaging ecosystem |
E427621
|
entity |
| Predicate | includesTool |
P1393
|
FINISHED |
| Object | pipx |
—
|
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: pipx | Statement: [Python packaging ecosystem, includesTool, pipx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: pipx Context triple: [Python packaging ecosystem, includesTool, pipx]
-
A.
pipx
chosen
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.
-
B.
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.
-
C.
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.
-
D.
Flatpak
Flatpak is a cross-distribution Linux framework for building, distributing, and running sandboxed desktop applications.
-
E.
pnpm
pnpm is a fast, disk space-efficient JavaScript package manager that uses a unique symlink-based node_modules structure to manage dependencies.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.