Triple

T18050944
Position Surface form Disambiguated ID Type / Status
Subject argparse E431924 entity
Predicate providesClass P32439 FINISHED
Object ArgumentError
ArgumentError is an exception class in Python’s argparse module used to signal problems with command-line argument definitions or parsing.
 E1303139 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: ArgumentError | Statement: [argparse, providesClass, ArgumentError]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ArgumentError
Context triple: [argparse, providesClass, ArgumentError]
  • A. Error
    Error is the fundamental built-in exception type in JavaScript used to represent runtime errors and serve as the base class for more specialized error types.
  • B. NSInvalidArgumentException
    NSInvalidArgumentException is a Cocoa/Cocoa Touch exception type thrown when a method receives an invalid or inappropriate argument.
  • C. Errors
    Errors is a Scottish post-rock band known for their experimental, electronic-infused sound and releases on the Glasgow-based label Rock Action Records.
  • D. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • E. ARG
    ARG is the National Rail station code assigned to Arnos Grove station in London.
  • 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: ArgumentError
Triple: [argparse, providesClass, ArgumentError]
Generated description
ArgumentError is an exception class in Python’s argparse module used to signal problems with command-line argument definitions or parsing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ArgumentError
Target entity description: ArgumentError is an exception class in Python’s argparse module used to signal problems with command-line argument definitions or parsing.
  • A. Error
    Error is the fundamental built-in exception type in JavaScript used to represent runtime errors and serve as the base class for more specialized error types.
  • B. NSInvalidArgumentException
    NSInvalidArgumentException is a Cocoa/Cocoa Touch exception type thrown when a method receives an invalid or inappropriate argument.
  • C. Errors
    Errors is a Scottish post-rock band known for their experimental, electronic-infused sound and releases on the Glasgow-based label Rock Action Records.
  • D. ARG
    ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
  • E. ARG
    ARG is the National Rail station code assigned to Arnos Grove station in London.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff57ea08190a30a87993f7d3299 completed April 19, 2026, 11:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349bf5fc48190afd460025b1fe505 completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034b7197e48190ae62f25f2fb434b6 completed May 12, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_6a034c08c12081908fee77fbb97b5840 completed May 12, 2026, 3:49 p.m.
Created at: April 10, 2026, 10:25 a.m.