Triple

T19891842
Position Surface form Disambiguated ID Type / Status
Subject Texas Heart Institute E478048 entity
Predicate hasDivision P35 FINISHED
Object Department of Cardiology NE NERFINISHED

How this triple was built (3 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: Department of Cardiology | Statement: [Texas Heart Institute, hasDivision, Department of Cardiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Cardiology
Context triple: [Texas Heart Institute, hasDivision, Department of Cardiology]
  • A. Department of Cardiology
    The Department of Cardiology is a specialized medical and academic unit at Cairo University's Faculty of Medicine focused on the diagnosis, treatment, and research of cardiovascular diseases.
  • B. Department of Cardiology
    The Department of Cardiology is a specialized clinical and research unit at the University Medical Center Göttingen focused on diagnosing, treating, and studying cardiovascular diseases.
  • C. Department of Cardiology
    The Department of Cardiology at University Hospital Zurich is a leading clinical and research center specializing in the diagnosis, treatment, and prevention of cardiovascular diseases.
  • D. Department of Cardiology
    The Department of Cardiology at AIIMS Delhi is a leading Indian center for advanced cardiac care, research, and training in cardiovascular diseases.
  • E. Department of Cardiology
    The Department of Cardiology is a specialized clinical and academic unit within Hacettepe University’s Faculty of Medicine focused on the diagnosis, treatment, and research of cardiovascular diseases.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Cardiology
Target entity description: The Department of Cardiology is a specialized clinical and research division within the Texas Heart Institute focused on diagnosing, treating, and preventing cardiovascular diseases.
  • A. Department of Cardiology
    The Department of Cardiology is a specialized medical unit focused on diagnosing, treating, and researching diseases of the heart and cardiovascular system.
  • B. Department of Cardiology
    The Department of Cardiology is a specialized clinical and academic unit within Hacettepe University’s Faculty of Medicine focused on the diagnosis, treatment, and research of cardiovascular diseases.
  • C. Department of Cardiology
    The Department of Cardiology is a medical specialty division focused on diagnosing, treating, and researching heart and cardiovascular diseases within the Joan C. Edwards School of Medicine.
  • D. Department of Cardiology
    The Department of Cardiology is a specialized medical unit at Ghent University Hospital focused on diagnosing, treating, and researching heart and cardiovascular diseases.
  • E. Department of Cardiology
    The Department of Cardiology is a specialized clinical and research unit at the University Medical Center Göttingen focused on diagnosing, treating, and studying cardiovascular diseases.
  • F. None of above. chosen

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ed7988190bc6b610d1f4fa194 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.