Triple

T23368279
Position Surface form Disambiguated ID Type / Status
Subject University of Yaoundé II E593384 entity
Predicate hasDepartment P35 FINISHED
Object Department of Public Law — 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: Department of Public Law | Statement: [University of Yaoundé II, hasDepartment, Department of Public Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Department of Public Law
Context triple: [University of Yaoundé II, hasDepartment, Department of Public Law]
  • A. Department of Public Law
    The Department of Public Law is an academic unit at the University of Cape Town’s Faculty of Law that focuses on areas such as constitutional, administrative, and criminal law within the public legal sphere.
  • B. Department of Public Law
    The Department of Public Law is an academic unit at the Aristotle University of Thessaloniki’s Faculty of Law that focuses on teaching and research in areas such as constitutional, administrative, and international public law.
  • C. Department of Public Law
    The Department of Public Law is an academic unit within the University of Lagos’ Faculty of Law that focuses on areas such as constitutional, administrative, and criminal law, and related aspects of governance and public regulation.
  • D. Department of Law
    The Department of Law at Osaka University is an academic unit specializing in legal education and research within the university’s Faculty of Law.
  • E. Department of Law
    The Department of Law at the University of Insubria is an academic unit dedicated to legal education and research within the university’s law and social sciences disciplines.
  • 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: Department of Public Law
Target entity description: The Department of Public Law is an academic unit at the University of Yaoundé II specializing in the study and teaching of legal rules governing the state, public institutions, and their relationship with individuals.
  • A. Department of Public Law
    The Department of Public Law is an academic unit at the University of Cape Town’s Faculty of Law that focuses on areas such as constitutional, administrative, and criminal law within the public legal sphere.
  • B. Department of Public Law
    The Department of Public Law is an academic unit at the Aristotle University of Thessaloniki’s Faculty of Law that focuses on teaching and research in areas such as constitutional, administrative, and international public law.
  • C. Department of Public Law
    The Department of Public Law is an academic unit within the University of Lagos’ Faculty of Law that focuses on areas such as constitutional, administrative, and criminal law, and related aspects of governance and public regulation.
  • D. Department of Law
    The Department of Law is an academic unit at the University of Swaziland’s Faculty of Social Science that offers legal education and training.
  • E. Department of Law
    The Department of Law at the University of Insubria is an academic unit dedicated to legal education and research within the university’s law and social sciences disciplines.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.