Triple

T20087872
Position Surface form Disambiguated ID Type / Status
Subject University of Rijeka E496183 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Law, University of Rijeka — 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, University of Rijeka | Statement: [University of Rijeka, hasFaculty, Faculty of Law, University of Rijeka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Law, University of Rijeka
Context triple: [University of Rijeka, hasFaculty, Faculty of Law, University of Rijeka]
  • A. Faculty of Law, University of Zagreb
    The Faculty of Law, University of Zagreb is one of Croatia’s oldest and most prominent legal education and research institutions, offering comprehensive programs in law and related social sciences.
  • B. Faculty of Law, University of Novi Sad
    The Faculty of Law, University of Novi Sad is a higher education and research institution in Serbia specializing in legal studies and training future legal professionals.
  • C. Faculty of Law, University of Belgrade
    The Faculty of Law, University of Belgrade is one of Serbia’s oldest and most prestigious legal education and research institutions, renowned for training generations of jurists, judges, and legal scholars in the region.
  • D. Faculty of Law, University of Niš
    The Faculty of Law, University of Niš is a higher education institution in Niš, Serbia, specializing in legal studies and research as part of the University of Niš.
  • E. University of Rijeka
    The University of Rijeka is a major Croatian public university and research institution located in the coastal city of Rijeka.
  • 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, University of Rijeka
Target entity description: The Faculty of Law, University of Rijeka is a higher education and research institution in Croatia specializing in legal studies and training future legal professionals.
  • A. Faculty of Law, University of Zagreb
    The Faculty of Law, University of Zagreb is one of Croatia’s oldest and most prominent legal education and research institutions, offering comprehensive programs in law and related social sciences.
  • B. Faculty of Law, University of Novi Sad
    The Faculty of Law, University of Novi Sad is a higher education and research institution in Serbia specializing in legal studies and training future legal professionals.
  • C. Faculty of Law, University of Belgrade
    The Faculty of Law, University of Belgrade is one of Serbia’s oldest and most prestigious legal education and research institutions, renowned for training generations of jurists, judges, and legal scholars in the region.
  • D. Faculty of Law, University of Niš
    The Faculty of Law, University of Niš is a higher education institution in Niš, Serbia, specializing in legal studies and research as part of the University of Niš.
  • E. University of Rijeka
    The University of Rijeka is a major Croatian public university and research institution located in the coastal city of Rijeka.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655c7de081909a400c736e92495d completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:16 p.m.