Triple

T2058967
Position Surface form Disambiguated ID Type / Status
Subject School of Physical and Occupational Therapy E45741 entity
Predicate regulatesTrainingFor P29324 FINISHED
Object entry-to-practice physical therapy 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: entry-to-practice physical therapy | Statement: [School of Physical and Occupational Therapy, regulatesTrainingFor, entry-to-practice physical therapy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatesTrainingFor
Context triple: [School of Physical and Occupational Therapy, regulatesTrainingFor, entry-to-practice physical therapy]
  • A. requiresTraining
    Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
  • B. typicalTraining
    Indicates that an entity commonly undergoes or is associated with a standard or usual form of training in relation to another entity or context.
  • C. trainingUse
    Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
  • D. regulatesProgram chosen
    Indicates that one entity exercises control or governance over the operation, rules, or functioning of a program.
  • E. trainingMethod
    Indicates the specific approach, technique, or procedure used to train an entity (such as a person, model, or system).
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9af42988190a4e977154dd10312 completed March 7, 2026, 5:37 a.m.
PD Predicate disambiguation batch_69abb7ad5a7c8190b92575d6053b3fb7 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.