Triple

T31915584
Position Surface form Disambiguated ID Type / Status
Subject College of Business, Economics, and Computing E814817 entity
Predicate offersProfessionalPreparationIn P71155 FINISHED
Object business careers 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: business careers | Statement: [College of Business, Economics, and Computing, offersProfessionalPreparationIn, business careers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersProfessionalPreparationIn
Context triple: [College of Business, Economics, and Computing, offersProfessionalPreparationIn, business careers]
  • A. offersCertificationPreparationFor
    Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
  • B. offersProfessionalPrograms chosen
    Indicates that an entity provides formal, career-oriented educational or training programs to others.
  • C. offersEducationIn
    Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
  • D. offersEducationTo
    Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
  • E. providesTrainingFor
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • 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_69f348f109d88190b5005372c53d2fcd completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: May 1, 2026, 12:02 a.m.