Triple

T24349697
Position Surface form Disambiguated ID Type / Status
Subject VP’s COE E613749 entity
Predicate hasPostgraduateProgramsIn P21853 FINISHED
Object engineering disciplines 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: engineering disciplines | Statement: [VP’s COE, hasPostgraduateProgramsIn, engineering disciplines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostgraduateProgramsIn
Context triple: [VP’s COE, hasPostgraduateProgramsIn, engineering disciplines]
  • A. hasDoctoralPrograms
    Indicates that an institution offers one or more doctoral-level academic degree programs.
  • B. postgraduatePrograms chosen
    Indicates that an institution offers or is associated with academic programs pursued after completion of an undergraduate degree.
  • C. hasUndergraduatePrograms
    Indicates that an educational institution offers one or more undergraduate-level academic programs.
  • D. hasDoctoralProgram
    Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
  • E. hasAcademicProgramsWith
    Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
  • 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_69e2d7ddd29481909e7f539a6072bd71 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29344061081908ffcb85787f334a2 completed April 29, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69f287bb1b2c81909c2e7fcc392ad143 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 1:58 a.m.