Triple

T18050915
Position Surface form Disambiguated ID Type / Status
Subject statistics E431923 entity
Predicate introducedIn P513 FINISHED
Object Python 3.4 NE NERFINISHED

How this triple was built (3 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 3.4 | Statement: [statistics, introducedIn, Python 3.4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python 3.4
Context triple: [statistics, introducedIn, Python 3.4]
  • A. Python 3.6
    Python 3.6 is a version of the Python programming language that introduced features like f-strings and underscores in numeric literals, and remains widely used despite being officially end-of-life.
  • B. Python 3.x
    Python 3.x is the major, actively developed series of the Python programming language that introduced significant improvements and changes over Python 2, including cleaner syntax, better Unicode support, and a more consistent standard library.
  • C. Python 3.7
    Python 3.7 is a version of the Python programming language that introduced features like data classes, postponed evaluation of type annotations, and various performance and standard library improvements.
  • D. Python 3.8
    Python 3.8 is a major release of the Python programming language that introduced several new language features, performance improvements, and standard library enhancements.
  • E. Python 3.9
    Python 3.9 is a stable release of the Python programming language that introduced features like dictionary union operators, type hinting improvements, and new string methods before being succeeded by Python 3.10.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Python 3.4
Target entity description: Python 3.4 is a version of the Python programming language released in 2014 that introduced several new standard library modules and features, including improved asynchronous support and enhanced security tools.
  • A. Python 3.6
    Python 3.6 is a version of the Python programming language that introduced features like f-strings and underscores in numeric literals, and remains widely used despite being officially end-of-life.
  • B. Python 3.x
    Python 3.x is the major, actively developed series of the Python programming language that introduced significant improvements and changes over Python 2, including cleaner syntax, better Unicode support, and a more consistent standard library.
  • C. Python 3.7
    Python 3.7 is a version of the Python programming language that introduced features like data classes, postponed evaluation of type annotations, and various performance and standard library improvements.
  • D. Python 3.8
    Python 3.8 is a major release of the Python programming language that introduced several new language features, performance improvements, and standard library enhancements.
  • E. Python 3.9
    Python 3.9 is a stable release of the Python programming language that introduced features like dictionary union operators, type hinting improvements, and new string methods before being succeeded by Python 3.10.
  • F. None of above. chosen

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_69e4bff57ea08190a30a87993f7d3299 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.