Triple

T12339181
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, The Chinese University of Hong Kong E294172 entity
Predicate offersResearchPostgraduatePrograms P21853 FINISHED
Object yes 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: yes | Statement: [Faculty of Engineering, The Chinese University of Hong Kong, offersResearchPostgraduatePrograms, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersResearchPostgraduatePrograms
Context triple: [Faculty of Engineering, The Chinese University of Hong Kong, offersResearchPostgraduatePrograms, yes]
  • A. postgraduatePrograms chosen
    Indicates that an institution offers or is associated with academic programs pursued after completion of an undergraduate degree.
  • B. hasDoctoralPrograms
    Indicates that an institution offers one or more doctoral-level academic degree programs.
  • C. hasDoctoralProgram
    Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
  • D. offersStudyAbroad
    Indicates that an institution or program provides opportunities for participants to study in a foreign country.
  • E. researchProgram
    Indicates that an entity is engaged in, associated with, or part of a structured research initiative or 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f678698819091462b44ff3435f6 completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.