Triple

T4278265
Position Surface form Disambiguated ID Type / Status
Subject Pipenv E97091 entity
Predicate usesFileFormat P8463 FINISHED
Object Pipfile.lock
Pipfile.lock is a lockfile generated by Pipenv that records exact versions and hashes of Python package dependencies to ensure reproducible environments.
 E428635 NE FINISHED

How this triple was built (4 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: Pipfile.lock | Statement: [Pipenv, usesFileFormat, Pipfile.lock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pipfile.lock
Context triple: [Pipenv, usesFileFormat, Pipfile.lock]
  • A. Pipfile
    Pipfile is a configuration file used by Python’s Pipenv tool to declare a project’s package dependencies and related environment settings.
  • 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. PEP 621 (project metadata in pyproject.toml, partially)
    PEP 621 is a Python packaging standard that defines a standardized way to declare project metadata in the `pyproject.toml` file.
  • D. PEP 517
    PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
  • E. PEP 503
    PEP 503 is a Python Enhancement Proposal that defines the simple repository API used by package installers like pip to discover and download Python packages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pipfile.lock
Triple: [Pipenv, usesFileFormat, Pipfile.lock]
Generated description
Pipfile.lock is a lockfile generated by Pipenv that records exact versions and hashes of Python package dependencies to ensure reproducible environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pipfile.lock
Target entity description: Pipfile.lock is a lockfile generated by Pipenv that records exact versions and hashes of Python package dependencies to ensure reproducible environments.
  • A. Pipfile
    Pipfile is a configuration file used by Python’s Pipenv tool to declare a project’s package dependencies and related environment settings.
  • 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. PEP 621 (project metadata in pyproject.toml, partially)
    PEP 621 is a Python packaging standard that defines a standardized way to declare project metadata in the `pyproject.toml` file.
  • D. PEP 517
    PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
  • E. PEP 503
    PEP 503 is a Python Enhancement Proposal that defines the simple repository API used by package installers like pip to discover and download Python packages.
  • F. None of above. chosen

Provenance (5 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350201ac88190b9d8980da5f0d03d completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7237b608190ab5aca56027344c4 completed March 14, 2026, 8:37 p.m.
NEDg Description generation batch_69b5c7bd187c8190b79894c864ea5b19 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c88035dc8190beacf43974a29c78 completed March 14, 2026, 8:43 p.m.
Created at: March 12, 2026, 11:07 p.m.