Triple

T21983640
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Rio Grande do Norte E542901 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Engineering 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 Engineering | Statement: [Federal University of Rio Grande do Norte, hasFaculty, Faculty of Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering
Context triple: [Federal University of Rio Grande do Norte, hasFaculty, Faculty of Engineering]
  • A. Faculty of Engineering
    The Faculty of Engineering at Nagaoka University of Technology is an academic division specializing in advanced engineering education and research across multiple technical disciplines.
  • B. Faculty of Engineering
    The Faculty of Engineering at Boğaziçi University is a leading academic division offering rigorous engineering education and research across multiple disciplines in Istanbul, Turkey.
  • C. Faculty of Engineering
    The Faculty of Engineering at Helwan University is an academic division that offers undergraduate and postgraduate engineering programs and conducts research across various engineering disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Kashmir is an academic division that offers undergraduate and postgraduate programs in various engineering disciplines and supports related research and innovation activities.
  • E. Faculty of Engineering
    The Faculty of Engineering at Ahmadu Bello University is a major academic division that offers engineering education and research programs across multiple engineering disciplines 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 Engineering
Target entity description: The Faculty of Engineering is an academic unit of the Federal University of Rio Grande do Norte in Brazil that offers engineering education, research, and professional training across multiple engineering disciplines.
  • A. Faculty of Engineering
    The Faculty of Engineering is the academic unit of the Federal University of Rio Grande do Sul dedicated to engineering education and research across multiple engineering disciplines.
  • B. Faculty of Engineering
    The Faculty of Engineering at the Federal University of Paraná is an academic unit that offers engineering education and conducts research across various engineering disciplines within one of Brazil’s leading public universities.
  • C. Faculty of Engineering
    The Faculty of Engineering is an academic division of Enugu State University of Science and Technology that offers engineering education, training, and research across various engineering disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering is an academic division of the Federal University of Technology Owerri that offers engineering education, research, and training across various engineering disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering is an academic unit of the National University of Asunción that offers undergraduate and graduate programs in various engineering disciplines and conducts related research and professional training.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12708055c8190b626ce244e368296 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.