Triple

T32990112
Position Surface form Disambiguated ID Type / Status
Subject Department of Exercise Science E844060 entity
Predicate typicalCareerPaths P113631 FINISHED
Object exercise physiologist 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: exercise physiologist | Statement: [Department of Exercise Science, typicalCareerPaths, exercise physiologist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCareerPaths
Context triple: [Department of Exercise Science, typicalCareerPaths, exercise physiologist]
  • A. careerPath
    Indicates the progression or sequence of roles, positions, or occupations that an individual follows over time in their professional life.
  • B. professionalPathwayFor chosen
    Indicates that one entity serves as a professional development route, track, or sequence leading toward a particular career or occupational role for another entity.
  • C. describesCareerOf
    Indicates that one entity provides a description or characterization of the professional career of another entity.
  • D. managedCareerOf
    Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
  • E. publicCareer
    Indicates that an entity has held or pursued a role or occupation in the public sphere, such as government, politics, or other publicly visible service.
  • 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_69f3494d99988190b502c68926af2c4d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f338b881908e5593e45d764f4d completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:22 a.m.