Triple

T26255156
Position Surface form Disambiguated ID Type / Status
Subject Stern–Brocot tree E656695 entity
Predicate algorithmicUse P160166 FINISHED
Object implementing binary search on rationals 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: implementing binary search on rationals | Statement: [Stern–Brocot tree, algorithmicUse, implementing binary search on rationals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: algorithmicUse
Context triple: [Stern–Brocot tree, algorithmicUse, implementing binary search on rationals]
  • A. algorithmicUse chosen
    Indicates the use or application of an algorithmic process by one entity in relation to another entity or resource.
  • B. dataUse
    Indicates how data is intended to be accessed, processed, or applied within a particular context or activity.
  • C. algorithmicProperty
    Indicates that a subject possesses a specific characteristic, behavior, or quality defined in terms of an algorithm or computational procedure.
  • D. allegedUse
    Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
  • E. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • 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_69ee5b4d25ac819086acb51184602576 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60dcd2e688190b54e36b0ff0d9187 completed May 2, 2026, 2:44 p.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 9:08 p.m.