Triple

T18051448
Position Surface form Disambiguated ID Type / Status
Subject Python official documentation E431933 entity
Predicate covers P1393 FINISHED
Object Python re module 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 re module | Statement: [Python official documentation, covers, Python re module]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python re module
Context triple: [Python official documentation, covers, Python re module]
  • A. Python regius
    Python regius, commonly known as the ball python or royal python, is a small, nonvenomous African python species popular in the pet trade for its docile temperament and manageable size.
  • B. Rexec
    Rexec is a remote execution protocol and service used on Unix-like systems to run commands on a remote host and return their output to the local machine.
  • C. Pythonidae
    Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
  • D. Python standard library chosen
    The Python standard library is the extensive collection of built-in modules and packages that provide core functionality and common tools for Python programs, from file I/O and networking to data structures and system interfaces.
  • E. Regular Expression Search Algorithm
    Regular Expression Search Algorithm is a pattern-matching method for efficiently finding text strings that match specified regular expressions, originally developed and formalized by computer scientist Ken Thompson.
  • 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.