Triple

T37980955
Position Surface form Disambiguated ID Type / Status
Subject Department of Paediatrics, The Chinese University of Hong Kong E947546 entity
Predicate usesMedicalSpecialtyClassification P466 FINISHED
Object paediatrics 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: paediatrics | Statement: [Department of Paediatrics, The Chinese University of Hong Kong, usesMedicalSpecialtyClassification, paediatrics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMedicalSpecialtyClassification
Context triple: [Department of Paediatrics, The Chinese University of Hong Kong, usesMedicalSpecialtyClassification, paediatrics]
  • A. supportsMedicalSpecialty
    Indicates that one entity provides resources, infrastructure, or services that enable or facilitate the practice or development of a particular medical specialty.
  • B. isConsideredSpecialtyOf
    Indicates that one field, practice, or area of expertise is regarded as a specialized branch or subset of another broader field.
  • C. hasSpecialty chosen
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • D. medical specialty
    Indicates the specific branch of medicine in which a medical professional is trained and primarily practices.
  • E. usedMedicalPersonnel
    Indicates that an entity employed or made use of medical personnel in performing an action or providing a service.
  • 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_69f76ef8a1d08190a741bbbc5970e3b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd02680d948190a3463fb119ba8556 completed May 7, 2026, 9:21 p.m.
PD Predicate disambiguation batch_69fcf89c69b4819082bbc564bd15137d completed May 7, 2026, 8:39 p.m.
Created at: May 3, 2026, 4:20 p.m.