Triple

T17579425
Position Surface form Disambiguated ID Type / Status
Subject University of Messina E428159 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of 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: Faculty of Law | Statement: [University of Messina, hasFaculty, Faculty of Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Law
Context triple: [University of Messina, hasFaculty, Faculty of Law]
  • A. Faculty of Law
    The Faculty of Law at McGill University is a leading Canadian law school renowned for its bilingual and transsystemic legal education and strong international reputation.
  • B. Faculty of Law
    The Faculty of Law at the University of Lagos is a leading Nigerian legal education and research institution known for training lawyers, scholars, and legal professionals.
  • C. Faculty of Law
    The Faculty of Law at Banaras Hindu University is a prominent legal education and research institution in India, offering undergraduate, postgraduate, and doctoral programs in law.
  • D. Faculty of Law
    The Faculty of Law at the University of Montenegro is a higher education institution that provides legal education and training for future lawyers, judges, and other legal professionals in Montenegro.
  • E. Faculty of Law
    The Faculty of Law at Usmanu Danfodiyo University is an academic division dedicated to legal education, research, and the training of future lawyers and legal scholars in Nigeria.
  • 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: Faculty of Law
Target entity description: The Faculty of Law at the University of Messina is an academic division specializing in legal education and research, offering law degrees and related programs within the university.
  • A. Faculty of Law
    The Faculty of Law at the University of Milan is an academic division specializing in legal education and research, offering law degrees and related programs.
  • B. Faculty of Law
    The Faculty of Law at the University of Catania is an academic division dedicated to legal education and research, offering degree programs and scholarly activities in various fields of law.
  • C. Faculty of Law
    The Faculty of Law at the University of Murcia is an academic division specializing in legal education and research, offering law degrees and related programs.
  • D. Faculty of Law
    The Faculty of Law at the University of Pisa is an academic division specializing in legal education and research within one of Italy’s oldest and most prestigious universities.
  • E. Faculty of Law
    The Faculty of Law at the University of Florence is an academic division specializing in legal education and research, offering law degrees and related programs.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cc493c8190965680cf786aa531 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.