Triple

T15218002
Position Surface form Disambiguated ID Type / Status
Subject IDX E363688 entity
Predicate commonlyAccessedWith P111905 FINISHED
Object Python E3372 NE FINISHED

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: [IDX, commonlyAccessedWith, Python]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python
Context triple: [IDX, commonlyAccessedWith, 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. 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.
  • 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: commonlyAccessedWith
Context triple: [IDX, commonlyAccessedWith, Python]
  • A. commonlyLinkedTo chosen
    Indicates that one entity is frequently or typically associated, connected, or co-occurring with another entity.
  • B. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • C. frequentlyVisitedBy
    Indicates that an entity is regularly or often visited by another entity.
  • D. oftenVisitedWith
    Indicates that two entities are frequently visited together, typically during the same visit or trip.
  • E. accessedThrough
    Indicates that one entity is reached, used, or obtained by means of another entity that serves as an intermediary channel, tool, or pathway.
  • F. None of above.

Provenance (4 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69deca8479188190b2e5d3bc708d7d07 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:11 a.m.