Triple

T36872428
Position Surface form Disambiguated ID Type / Status
Subject Pyright E911256 entity
Predicate canCheck P26465 FINISHED
Object stub files (.pyi) LITERAL FINISHED

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: stub files (.pyi) | Statement: [Pyright, canCheck, stub files (.pyi)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canCheck
Context triple: [Pyright, canCheck, stub files (.pyi)]
  • A. canPass
    Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
  • B. canConfirm chosen
    Indicates that one entity has the ability or authority to verify the truth, validity, or occurrence of something related to another entity or event.
  • C. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • D. canElect
    Indicates that one entity has the authority or ability to choose another entity for a position, role, or office through an election process.
  • E. canMake
    Indicates that one entity has the ability or capacity to create, produce, or assemble another 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:13 p.m.