Triple

T18250527
Position Surface form Disambiguated ID Type / Status
Subject College of Nursing (University of Central Florida) E437075 entity
Predicate educatesForProfession P335 FINISHED
Object registered nurse 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: registered nurse | Statement: [College of Nursing (University of Central Florida), educatesForProfession, registered nurse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educatesForProfession
Context triple: [College of Nursing (University of Central Florida), educatesForProfession, registered nurse]
  • A. regulatedProfessionPathway
    Indicates that an entity follows an officially controlled or legally mandated pathway to enter or practice a regulated profession.
  • B. educates chosen
    Indicates that one entity provides instruction, knowledge, or training to another entity.
  • C. professionalPathwayFor
    Indicates that one entity serves as a professional development route, track, or sequence leading toward a particular career or occupational role for another entity.
  • D. educationField
    Indicates the academic or professional discipline in which an entity has been educated or trained.
  • E. educationalField
    Indicates the academic or disciplinary area in which an educational activity, program, or qualification is focused.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8065b08190ae8d37102141f470 completed April 19, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69e44fcdee748190bae6fb76e0cb22f3 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:33 a.m.