Triple

T18051362
Position Surface form Disambiguated ID Type / Status
Subject wsgiref E431932 entity
Predicate introducedIn P513 FINISHED
Object Python 2.5 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: Python 2.5 | Statement: [wsgiref, introducedIn, Python 2.5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python 2.5
Context triple: [wsgiref, introducedIn, Python 2.5]
  • A. Python 2.5 chosen
    Python 2.5 is an older major release of the Python programming language that introduced several significant features and standard library enhancements, helping pave the way toward the more modern Python 3 series.
  • B. Python 2.0
    Python 2.0 is a major early release of the Python programming language that introduced significant new features and improvements, helping to shape Python’s modern development ecosystem.
  • C. Python 2.3
    Python 2.3 is an early 2000s release of the Python programming language that introduced numerous core library enhancements and language improvements, helping to mature Python’s standard tooling and features.
  • D. Python 2.1
    Python 2.1 is an early 2001 release of the Python programming language that introduced several core features and standard library enhancements that shaped modern Python development.
  • E. Python 3.2
    Python 3.2 is a version of the Python programming language that introduced several standard library enhancements and language improvements over the 3.1 release.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0fe4f1881908fa8485cb3ccfa44 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:25 a.m.