Triple

T11455208
Position Surface form Disambiguated ID Type / Status
Subject Kohat University of Science and Technology E271507 entity
Predicate hasDepartment P35 FINISHED
Object Department of Microbiology
The Department of Microbiology is an academic unit at Kohat University of Science and Technology dedicated to teaching and research in microbial biology and its applications in health, industry, and the environment.
E925623 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: [Kohat University of Science and Technology, hasDepartment, Department of Microbiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Microbiology
Context triple: [Kohat University of Science and Technology, 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 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 specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Medical College Jabalpur.
  • E. 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.
  • 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: [Kohat University of Science and Technology, hasDepartment, Department of Microbiology]
Generated description
The Department of Microbiology is an academic unit at Kohat University of Science and Technology dedicated to teaching and research in microbial biology and its applications in health, industry, 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 at Kohat University of Science and Technology dedicated to teaching and research in microbial biology and its applications in health, industry, and the environment.
  • 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 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 and research unit at Savitribai Phule Pune University specializing in the study of microorganisms and their applications in health, industry, and the environment.
  • 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 is an academic unit of Scottish Church College that focuses on teaching and research in microbiology and related biological sciences.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3e197c881909db2e4e59c61c3c3 completed April 20, 2026, 7:21 a.m.
NEDg Description generation batch_69e5d5cc251081908b85f264940a6545 completed April 20, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69e5d924963c8190bfc55ffeb529a499 completed April 20, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:35 p.m.