Triple

T4325215
Position Surface form Disambiguated ID Type / Status
Subject Python standard library E96619 entity
Predicate includesModule P49317 FINISHED
Object contextlib
contextlib is a Python standard library module that provides utilities for working with context managers and the with statement, simplifying resource management and cleanup.
E431930 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: contextlib | Statement: [Python standard library, includesModule, contextlib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: contextlib
Context triple: [Python standard library, includesModule, contextlib]
  • A. Stackless Python
    Stackless Python is an enhanced version of the Python interpreter that provides lightweight microthreads and improved concurrency support without relying on the C call stack.
  • B. asgiref
    asgiref is a Python library that provides reference implementations and utilities for working with the ASGI (Asynchronous Server Gateway Interface) specification, commonly used in asynchronous web frameworks like Django and Starlette.
  • C. plpython2u
    plpython2u is an untrusted PostgreSQL procedural language extension that allows writing database functions in Python 2.
  • D. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • E. PEP 695
    PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
  • 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: contextlib
Triple: [Python standard library, includesModule, contextlib]
Generated description
contextlib is a Python standard library module that provides utilities for working with context managers and the with statement, simplifying resource management and cleanup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: contextlib
Target entity description: contextlib is a Python standard library module that provides utilities for working with context managers and the with statement, simplifying resource management and cleanup.
  • A. Stackless Python
    Stackless Python is an enhanced version of the Python interpreter that provides lightweight microthreads and improved concurrency support without relying on the C call stack.
  • B. asgiref
    asgiref is a Python library that provides reference implementations and utilities for working with the ASGI (Asynchronous Server Gateway Interface) specification, commonly used in asynchronous web frameworks like Django and Starlette.
  • C. plpython2u
    plpython2u is an untrusted PostgreSQL procedural language extension that allows writing database functions in Python 2.
  • D. PEP 622
    PEP 622 is a Python Enhancement Proposal that introduced the design for structural pattern matching syntax later adopted in Python 3.10.
  • E. PEP 695
    PEP 695 is a Python Enhancement Proposal that introduces a new, more concise syntax for type parameter declarations to improve the language’s support for generics and static typing.
  • 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.