Triple

T4325199
Position Surface form Disambiguated ID Type / Status
Subject Python standard library E96619 entity
Predicate includesModule P49317 FINISHED
Object argparse
argparse is a Python module for parsing command-line arguments and options, enabling easy creation of user-friendly CLI interfaces.
 E431924 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: argparse | Statement: [Python standard library, includesModule, argparse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: argparse
Context triple: [Python standard library, includesModule, argparse]
  • A. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • B. optio
    An optio was a junior officer in the Roman army who served as the deputy and second-in-command to a centurion within a legionary unit.
  • C. CLI
    CLI is a standardized runtime and execution environment developed by Microsoft and standardized by ECMA and ISO for running and managing code written in multiple high-level languages, most notably used by the .NET framework.
  • D. setuptools
    setuptools is a widely used Python library for packaging, distributing, and installing Python projects and their dependencies.
  • E. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • 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: argparse
Triple: [Python standard library, includesModule, argparse]
Generated description
argparse is a Python module for parsing command-line arguments and options, enabling easy creation of user-friendly CLI interfaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: argparse
Target entity description: argparse is a Python module for parsing command-line arguments and options, enabling easy creation of user-friendly CLI interfaces.
  • A. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • B. optio
    An optio was a junior officer in the Roman army who served as the deputy and second-in-command to a centurion within a legionary unit.
  • C. CLI
    CLI is a standardized runtime and execution environment developed by Microsoft and standardized by ECMA and ISO for running and managing code written in multiple high-level languages, most notably used by the .NET framework.
  • D. setuptools
    setuptools is a widely used Python library for packaging, distributing, and installing Python projects and their dependencies.
  • E. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3563eab24819088add9180af2ce3c completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d10a20248190b3214509cb637ff4 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4f08ac4819097e71276be11403d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.