Triple

T17517086
Position Surface form Disambiguated ID Type / Status
Subject IronLanguages E426595 entity
Predicate programmingLanguageImplemented P76248 FINISHED
Object Python 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 | Statement: [IronLanguages, programmingLanguageImplemented, Python]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python
Context triple: [IronLanguages, programmingLanguageImplemented, Python]
  • A. Python chosen
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • B. Python
    Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
  • C. Pythonidae
    Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
  • D. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • E. Pythion
    Pythion was an ancient city of Perrhaebia in northern Thessaly, Greece, likely known for its regional religious and strategic significance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: programmingLanguageImplemented
Context triple: [IronLanguages, programmingLanguageImplemented, Python]
  • A. programmingLanguage
    Indicates that one entity is a programming language used to create, control, or interact with the other entity.
  • B. programLanguage chosen
    Indicates that an entity is implemented, written, or expressed using a particular programming language.
  • C. languageOfImplementation
    Indicates the programming language in which a given software system, component, or algorithm is implemented.
  • D. programmingLanguageCompiled
    Indicates that a programming language is translated into machine code by a compiler before its programs are executed.
  • E. languageOfProgramming
    Indicates that one entity is a programming language used to implement, develop, or script the other entity.
  • F. None of above.

Provenance (3 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452615a8481909974e9855ea7a8e4 completed April 19, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.