Triple

T11933019
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, The Chinese University of Hong Kong E283960 entity
Predicate hasProfessionalProgram P71155 FINISHED
Object Postgraduate Certificate in Laws 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: Postgraduate Certificate in Laws | Statement: [Faculty of Law, The Chinese University of Hong Kong, hasProfessionalProgram, Postgraduate Certificate in Laws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProfessionalProgram
Context triple: [Faculty of Law, The Chinese University of Hong Kong, hasProfessionalProgram, Postgraduate Certificate in Laws]
  • A. offersProfessionalPrograms chosen
    Indicates that an entity provides formal, career-oriented educational or training programs to others.
  • B. hasEducationalProgram
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • C. hasIndustryProgram
    Indicates that an entity offers, participates in, or is associated with a structured program involving collaboration or engagement with industry organizations or sectors.
  • D. hasWorkProgram
    Indicates that an entity offers, participates in, or is associated with a specific work-related program or scheme.
  • E. hasMajorProgram
    Indicates that an educational institution offers a specific field of study as a primary academic program.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69d8bb3af0188190bfb22be5c97b3349 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.