Triple

T14832879
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Veterinary Medicine, South Valley University E348752 entity
Predicate hasDepartment P35 FINISHED
Object Department of Microbiology
The Department of Microbiology is an academic unit specializing in the study of microorganisms and infectious diseases within the Faculty of Veterinary Medicine at South Valley University.
E1121686 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: [Faculty of Veterinary Medicine, South Valley University, hasDepartment, Department of Microbiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Context triple: [Faculty of Veterinary Medicine, South Valley University, hasDepartment, Department of Microbiology]
  • A. Department of Microbiology
    The Department of Microbiology at Quaid-i-Azam University is an academic and research unit focused on the study of microorganisms, their roles in health, disease, and the environment, and their applications in biotechnology.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Department of Microbiology
    The Department of Microbiology is an academic and research unit at Savitribai Phule Pune University specializing in the study of microorganisms and their applications in health, industry, and the environment.
  • 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: [Faculty of Veterinary Medicine, South Valley University, hasDepartment, Department of Microbiology]
Generated description
The Department of Microbiology is an academic unit specializing in the study of microorganisms and infectious diseases within the Faculty of Veterinary Medicine at South Valley University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Target entity description: The Department of Microbiology is an academic unit specializing in the study of microorganisms and infectious diseases within the Faculty of Veterinary Medicine at South Valley University.
  • A. Department of Microbiology
    The Department of Microbiology is an academic unit specializing in the study, research, and teaching of microorganisms and infectious diseases within the Faculty of Medicine at Cairo University.
  • B. Department of Microbiology
    The Department of Microbiology is an academic unit focused on the study and research of microorganisms and their roles in health, disease, and the environment.
  • C. Department of Microbiology
    The Department of Microbiology is an academic unit specializing in the study, teaching, and research of microorganisms and infectious diseases within the Faculty of Medicine at the University of Ruhuna.
  • D. Department of Microbiology
    The Department of Microbiology is an academic unit within Nahda University's Faculty of Medicine in Beni Suef that focuses on teaching and researching microorganisms and their roles in human health and disease.
  • E. 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.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a393988190837fdca148f4058c completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3bcd4a588190990ab1f371373bfb completed May 8, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe3c9ee6e48190b5d6532804bfc15b completed May 8, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:52 a.m.