Triple

T29901868
Position Surface form Disambiguated ID Type / Status
Subject Department of Medicine, Mahatma Gandhi Institute of Medical Sciences E759427 entity
Predicate typicalSubspecialties P466 FINISHED
Object cardiology 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: cardiology | Statement: [Department of Medicine, Mahatma Gandhi Institute of Medical Sciences, typicalSubspecialties, cardiology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalSubspecialties
Context triple: [Department of Medicine, Mahatma Gandhi Institute of Medical Sciences, typicalSubspecialties, cardiology]
  • A. isConsideredSpecialtyOf
    Indicates that one field, practice, or area of expertise is regarded as a specialized branch or subset of another broader field.
  • B. medical specialty
    Indicates the specific branch of medicine in which a medical professional is trained and primarily practices.
  • C. subjectSpecialization
    Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
  • D. offersSpecialtyCare
    Indicates that an entity provides specialized or advanced care services beyond general or primary care.
  • E. hasSpecialty chosen
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • 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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a0311c202408190be88a85337aacf11 completed May 12, 2026, 11:40 a.m.
PD Predicate disambiguation batch_6a0310b0c9c88190ab218d47d4f432ed completed May 12, 2026, 11:36 a.m.
Created at: April 29, 2026, 6:07 p.m.