Triple

T15638688
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science, University of Karachi E376009 entity
Predicate hasDepartment P35 FINISHED
Object Department of Pharmacology, University of Karachi
The Department of Pharmacology at the University of Karachi is an academic unit within the university’s Faculty of Science that focuses on teaching and research related to the actions, uses, and effects of drugs and chemicals on biological systems.
E1168462 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 Pharmacology, University of Karachi | Statement: [Faculty of Science, University of Karachi, hasDepartment, Department of Pharmacology, University of Karachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Pharmacology, University of Karachi
Context triple: [Faculty of Science, University of Karachi, hasDepartment, Department of Pharmacology, University of Karachi]
  • A. Department of Pharmacology and Pharmacy
    The Department of Pharmacology and Pharmacy is an academic unit within the Li Ka Shing Faculty of Medicine at the University of Hong Kong that focuses on education and research in drug action, therapeutics, and pharmaceutical sciences.
  • B. Department of Pharmacology
    The Department of Pharmacology is an academic and research unit within Medical College Jabalpur that focuses on the study of drugs, their mechanisms of action, therapeutic uses, and adverse effects in medicine.
  • C. Department of Pharmacology
    The Department of Pharmacology is an academic unit within the Faculty of Medicine at the University of Ruhuna that focuses on teaching and research related to drugs and their effects on biological systems.
  • D. Department of Pharmacology
    The Department of Pharmacology is an academic unit specializing in the study of drug actions, therapeutic uses, and toxicology within the Faculty of Veterinary Medicine at South Valley University.
  • E. Department of Pharmacology
    The Department of Pharmacology is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and researching the actions, uses, and effects of drugs on biological systems.
  • 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 Pharmacology, University of Karachi
Triple: [Faculty of Science, University of Karachi, hasDepartment, Department of Pharmacology, University of Karachi]
Generated description
The Department of Pharmacology at the University of Karachi is an academic unit within the university’s Faculty of Science that focuses on teaching and research related to the actions, uses, and effects of drugs and chemicals on biological systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Pharmacology, University of Karachi
Target entity description: The Department of Pharmacology at the University of Karachi is an academic unit within the university’s Faculty of Science that focuses on teaching and research related to the actions, uses, and effects of drugs and chemicals on biological systems.
  • A. Department of Pharmacology and Pharmacy
    The Department of Pharmacology and Pharmacy is an academic unit within the Li Ka Shing Faculty of Medicine at the University of Hong Kong that focuses on education and research in drug action, therapeutics, and pharmaceutical sciences.
  • B. Department of Pharmacology
    The Department of Pharmacology is an academic and research unit within Medical College Jabalpur that focuses on the study of drugs, their mechanisms of action, therapeutic uses, and adverse effects in medicine.
  • C. Department of Pharmacology
    The Department of Pharmacology is an academic unit within the Faculty of Medicine at the University of Ruhuna that focuses on teaching and research related to drugs and their effects on biological systems.
  • D. Department of Pharmacology
    The Department of Pharmacology is an academic unit specializing in the study of drug actions, therapeutic uses, and toxicology within the Faculty of Veterinary Medicine at South Valley University.
  • E. Department of Pharmacology
    The Department of Pharmacology is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and researching the actions, uses, and effects of drugs on biological systems.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eba51f08190ac5d9de7fc89405a completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4b693c81908fd324a5e92fc23c completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff612f54a48190a392a3712db4c907 completed May 9, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff61fbcad481908af89369458b23ca completed May 9, 2026, 4:34 p.m.
Created at: April 10, 2026, 4:14 a.m.