Triple

T18791075
Position Surface form Disambiguated ID Type / Status
Subject Lomuto partition scheme E459514 entity
Predicate typicallyTaughtAs P13197 FINISHED
Object introductory example of partitioning 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: introductory example of partitioning | Statement: [Lomuto partition scheme, typicallyTaughtAs, introductory example of partitioning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicallyTaughtAs
Context triple: [Lomuto partition scheme, typicallyTaughtAs, introductory example of partitioning]
  • A. isTaughtAs chosen
    Indicates that something is presented or delivered as instructional content, typically within an educational or training context.
  • B. taughtAs
    Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
  • C. commonlyTaughtWith
    Indicates that two subjects or concepts are frequently taught together within the same course, lesson, or curriculum context.
  • D. areTaughtIn
    Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
  • E. typicalCourse
    Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978665388190aaefed0ec30a1ff3 completed April 20, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e48d16dd34819096e096d0c0e4c15c completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:53 a.m.