Triple

T17598570
Position Surface form Disambiguated ID Type / Status
Subject Pipfile.lock E428635 entity
Predicate usedWith P4791 FINISHED
Object Pipenv 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: Pipenv | Statement: [Pipfile.lock, usedWith, Pipenv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pipenv
Context triple: [Pipfile.lock, usedWith, Pipenv]
  • A. Pipenv chosen
    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.
  • B. Pipfile
    Pipfile is a configuration file used by Python’s Pipenv tool to declare a project’s package dependencies and related environment settings.
  • C. Pipfile.lock
    Pipfile.lock is a lockfile generated by Pipenv that records exact versions and hashes of Python package dependencies to ensure reproducible environments.
  • D. 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.
  • 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 (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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c474e5481909d2736241b592dab completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.