Triple

T11070090
Position Surface form Disambiguated ID Type / Status
Subject Mansoura University Faculty of Science E261721 entity
Predicate hasDepartment P35 FINISHED
Object Department of Microbiology
The Department of Microbiology is an academic unit specializing in the study and research of microorganisms, including bacteria, viruses, fungi, and parasites, and their roles in health, disease, and the environment.
E355908 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: [Mansoura University Faculty of Science, hasDepartment, Department of Microbiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Context triple: [Mansoura University Faculty of Science, hasDepartment, Department of Microbiology]
  • 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 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.
  • 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 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 specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Darbhanga Medical College and Hospital.
  • 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: [Mansoura University Faculty of Science, hasDepartment, Department of Microbiology]
Generated description
The Department of Microbiology is an academic unit specializing in the study and research of microorganisms, including bacteria, viruses, fungi, and parasites, and their roles in health, disease, and the environment.
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 and research of microorganisms, including bacteria, viruses, fungi, and parasites, and their roles in health, disease, and the environment.
  • A. Department of Microbiology chosen
    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.
  • 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 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 specializing in the study, research, and teaching of microorganisms and infectious diseases within the Faculty of Medicine at Cairo University.
  • E. 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.
  • F. None of above.

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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79922e48c81909adb161e66f47474 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8b2d6e881909eeddf1e6427ad5c completed April 18, 2026, 6:08 p.m.
NEDg Description generation batch_69e3cae07b648190b4c0d2514712d6bd completed April 18, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69e3cf1f508c81909b4ca8131b7fc9ee completed April 18, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:26 p.m.