Triple

T22507020
Position Surface form Disambiguated ID Type / Status
Subject University of Babylon E556414 entity
Predicate hasFaculty P141 FINISHED
Object College of Veterinary Medicine NE NERFINISHED

How this triple was built (3 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: College of Veterinary Medicine | Statement: [University of Babylon, hasFaculty, College of Veterinary Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Veterinary Medicine
Context triple: [University of Babylon, hasFaculty, College of Veterinary Medicine]
  • A. College of Veterinary Medicine
    The College of Veterinary Medicine at the University of Florida is the state's only veterinary college, providing professional veterinary education, clinical services, and research in animal health.
  • B. College of Veterinary Medicine
    The College of Veterinary Medicine is Iowa State University's veterinary school, providing professional education, research, and clinical services in animal health and veterinary science.
  • C. College of Veterinary Medicine
    The College of Veterinary Medicine is Auburn University's veterinary school, providing professional education, clinical training, and research in animal health and biomedical sciences.
  • D. College of Veterinary Medicine
    The College of Veterinary Medicine at the University of Minnesota is a professional school dedicated to educating veterinarians, advancing animal and human health through research, and providing clinical services.
  • E. College of Veterinary Medicine
    The College of Veterinary Medicine is an academic faculty specializing in veterinary education, research, and training of veterinarians within the Federal University of Agriculture, Abeokuta.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Veterinary Medicine
Target entity description: The College of Veterinary Medicine is an academic faculty of the University of Babylon that specializes in veterinary education, research, and training of future veterinarians.
  • A. College of Veterinary Medicine
    The College of Veterinary Medicine at the University of Baghdad is an academic institution dedicated to educating veterinarians and advancing research in animal health and veterinary sciences in Iraq.
  • B. College of Veterinary Medicine
    The College of Veterinary Medicine is a faculty of the University of Mosul specializing in veterinary education, research, and training of animal health professionals.
  • C. College of Veterinary Medicine
    The College of Veterinary Medicine is an academic faculty specializing in veterinary education, research, and training of veterinarians within the Federal University of Agriculture, Abeokuta.
  • D. College of Veterinary Medicine
    The College of Veterinary Medicine is an academic faculty specializing in veterinary science and animal health education and research.
  • E. College of Veterinary Medicine
    The College of Veterinary Medicine is Mississippi State University's professional school dedicated to educating veterinarians and advancing animal health through clinical practice and research.
  • F. None of above. chosen

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5cddf88190821d9c9fdee84160 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.