Triple

T19815415
Position Surface form Disambiguated ID Type / Status
Subject All India Institute of Medical Sciences, New Delhi E476045 entity
Predicate hasDepartment P35 FINISHED
Object Department of Microbiology
The Department of Microbiology at AIIMS New Delhi is a leading academic and research center in India focused on medical microbiology, infectious diseases, diagnostics, and training of healthcare professionals.
E1396854 NE FINISHED

How this triple was built (4 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 Microbiology | Statement: [All India Institute of Medical Sciences, New Delhi, hasDepartment, Department of Microbiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Context triple: [All India Institute of Medical Sciences, New Delhi, hasDepartment, Department of Microbiology]
  • A. Department of Microbiology
    The Department of Microbiology at Tohoku University's Faculty of Medicine is an academic unit focused on research and education in microorganisms, infectious diseases, and related biomedical sciences.
  • B. Department of Microbiology
    The Department of Microbiology at Osaka University’s Graduate School of Medicine is an academic and research unit focused on the study of microorganisms and their roles in human health and disease.
  • C. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
  • D. Department of Microbiology
    The Department of Microbiology is an academic unit at the Federal University of Lafia dedicated to teaching and research on microorganisms and their applications in health, industry, and the environment.
  • E. Department of Microbiology
    The Department of Microbiology is an academic unit specializing in the study and research of microorganisms and their applications within the Faculty of Biological Sciences at the University of Nigeria, Nsukka.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Microbiology
Triple: [All India Institute of Medical Sciences, New Delhi, hasDepartment, Department of Microbiology]
Generated description
The Department of Microbiology at AIIMS New Delhi is a leading academic and research center in India focused on medical microbiology, infectious diseases, diagnostics, and training of healthcare professionals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Target entity description: The Department of Microbiology at AIIMS New Delhi is a leading academic and research center in India focused on medical microbiology, infectious diseases, diagnostics, and training of healthcare professionals.
  • A. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
  • B. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Medical College Jabalpur.
  • C. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Darbhanga Medical College and Hospital.
  • D. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit within Government Medical College Mahbubnagar that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
  • E. Department of Microbiology
    The Department of Microbiology is an academic and clinical unit at Baba Raghav Das Medical College that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
  • F. None of above. chosen

Provenance (5 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f861248190a633dd8d227d9697 completed April 20, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07cccc33fc8190958cc5d5cb2feb79 completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07ce282658819096ff374b1605146f completed May 16, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07cf0327408190be73a41d2663836a completed May 16, 2026, 1:57 a.m.
Created at: April 10, 2026, 1:50 p.m.