Triple

T20143289
Position Surface form Disambiguated ID Type / Status
Subject University of Mataram E491228 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Teacher Training and Education 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 Teacher Training and Education | Statement: [University of Mataram, hasFaculty, Faculty of Teacher Training and Education]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Teacher Training and Education
Context triple: [University of Mataram, hasFaculty, Faculty of Teacher Training and Education]
  • A. Faculty of Education
    The Faculty of Education at Tohoku University is an academic division dedicated to research and training in education, pedagogy, and teacher preparation within the university.
  • B. Faculty of Education
    The Faculty of Education at the University of Haifa is an academic division dedicated to research and teaching in education, teacher training, and related pedagogical fields.
  • C. Faculty of Education
    The Faculty of Education at Damascus University is an academic unit specializing in teacher training, educational sciences, and research in pedagogy and learning.
  • D. Faculty of Education
    The Faculty of Education is an academic division of the University of Erfurt specializing in teacher training, educational sciences, and research on teaching and learning.
  • E. Faculty of Education
    The Faculty of Education at Banaras Hindu University is an academic division dedicated to teacher education, educational research, and the development of pedagogy and educational policy.
  • 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 Teacher Training and Education
Target entity description: The Faculty of Teacher Training and Education is an academic division of the University of Mataram dedicated to preparing and training future educators and education professionals.
  • A. Faculty of Teacher Training and Education
    The Faculty of Teacher Training and Education is a school within the Autonomous University of Madrid dedicated to preparing future educators and advancing research in pedagogy and educational sciences.
  • B. Faculty of Teacher Training and Education
    The Faculty of Teacher Training and Education is an academic unit of Sriwijaya University dedicated to preparing future educators and advancing research in pedagogy and educational sciences.
  • C. Faculty of Teacher Training and Education
    The Faculty of Teacher Training and Education is an academic unit of Universitas Riau dedicated to preparing future educators and advancing research in pedagogy and educational sciences.
  • D. Faculty of Education
    The Faculty of Education at Kyoto University is an academic division specializing in research and teaching on education, pedagogy, and related social sciences.
  • E. Faculty of Education
    The Faculty of Education at the University of Regina is an academic unit dedicated to preparing teachers and educational professionals through undergraduate and graduate programs, research, and community engagement in the field of education.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.