Triple

T11933022
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, The Chinese University of Hong Kong E283960 entity
Predicate offersExchangePrograms P70065 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 Law, The Chinese University of Hong Kong, offersExchangePrograms, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersExchangePrograms
Context triple: [Faculty of Law, The Chinese University of Hong Kong, offersExchangePrograms, yes]
  • A. offersInternationalPrograms
    Indicates that an institution or organization provides programs or courses available to participants from other countries or across national borders.
  • B. hasSemesterAbroadPrograms
    Indicates that an educational institution offers programs allowing students to study abroad for one or more academic semesters.
  • C. offersFellowshipPrograms
    Indicates that an entity provides or makes available fellowship programs to individuals or other entities.
  • D. offersStudyAbroad chosen
    Indicates that an institution or program provides opportunities for participants to study in a foreign country.
  • E. offersTransferPrograms
    Indicates that one entity provides formal transfer pathways or articulation programs enabling students to move their studies or credits to another institution.
  • 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.