Triple

T22507002
Position Surface form Disambiguated ID Type / Status
Subject University of Babylon E556414 entity
Predicate hasFaculty P141 FINISHED
Object College of Dentistry — 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 Dentistry | Statement: [University of Babylon, hasFaculty, College of Dentistry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: College of Dentistry
Context triple: [University of Babylon, hasFaculty, College of Dentistry]
  • A. College of Dentistry
    The College of Dentistry at Yonsei University is a leading South Korean dental school known for its comprehensive dental education, clinical training, and research in oral health sciences.
  • B. College of Dentistry
    The College of Dentistry at Seoul National University is a leading dental education and research institution in South Korea, training dentists and advancing oral health sciences.
  • C. College of Dentistry
    The College of Dentistry is the dental education and training institution within Kuwait University that prepares students for professional practice in dentistry and oral health care.
  • D. College of Dentistry
    The College of Dentistry is a specialized academic institution within Al-Mustansiriya University that provides education, training, and research in dental medicine and oral health sciences.
  • E. College of Dentistry
    The College of Dentistry is a specialized academic unit of Chosun University dedicated to educating dental professionals and advancing research in oral health and dental science.
  • 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 Dentistry
Target entity description: The College of Dentistry at the University of Babylon is a higher education institution specializing in dental education, clinical training, and oral health research in Iraq.
  • A. College of Dentistry
    The College of Dentistry at the University of Mosul is a higher education institution in Iraq dedicated to training dental professionals and advancing oral health research and clinical practice.
  • B. College of Dentistry
    The College of Dentistry is a specialized academic institution within Al-Mustansiriya University that provides education, training, and research in dental medicine and oral health sciences.
  • C. College of Dentistry
    The College of Dentistry is the dental education and training institution within Kuwait University that prepares students for professional practice in dentistry and oral health care.
  • D. College of Dentistry
    The College of Dentistry is a specialized academic unit of Chosun University dedicated to educating dental professionals and advancing research in oral health and dental science.
  • E. College of Dentistry
    The College of Dentistry at Seoul National University is a leading dental education and research institution in South Korea, training dentists and advancing oral health sciences.
  • 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.