Triple
T17598614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipfile.lock |
E428635
|
entity |
| Predicate | readBy |
P18381
|
FINISHED |
| Object | Pipenv resolver |
—
|
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 resolver | Statement: [Pipfile.lock, readBy, Pipenv resolver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pipenv resolver Context triple: [Pipfile.lock, readBy, Pipenv resolver]
-
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.lock
Pipfile.lock is a lockfile generated by Pipenv that records exact versions and hashes of Python package dependencies to ensure reproducible environments.
-
C.
Pipfile
Pipfile is a configuration file used by Python’s Pipenv tool to declare a project’s package dependencies and related environment settings.
-
D.
PEP 517
PEP 517 is a Python packaging standard that defines a build-system independent interface for building Python project distributions.
-
E.
PEP 508
PEP 508 is a Python Enhancement Proposal that defines the standard syntax for specifying package dependencies and environment markers in Python packaging.
- 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.