Triple

T18006081
Position Surface form Disambiguated ID Type / Status
Subject University of Porto E430749 entity
Predicate hasPart P35 FINISHED
Object Porto Business School 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: Porto Business School | Statement: [University of Porto, hasPart, Porto Business School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Business School
Context triple: [University of Porto, hasPart, Porto Business School]
  • A. Coimbra School of Accounting and Business
    Coimbra School of Accounting and Business is a higher education institution in Portugal specializing in accounting, management, and business-related studies.
  • B. University of Porto
    The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
  • C. Faculty of Economics of the University of Porto
    The Faculty of Economics of the University of Porto is a leading Portuguese higher education institution specializing in economics, management, and related social sciences, known for its research output and professional training.
  • D. NOVA University Lisbon
    NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
  • E. Faculty of Economics of the University of Coimbra
    The Faculty of Economics of the University of Coimbra is a higher education and research institution in Portugal specializing in economics, management, and related social sciences.
  • 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: Porto Business School
Target entity description: Porto Business School is the graduate business school of the University of Porto, offering MBA and executive education programs focused on management and leadership.
  • A. Coimbra School of Accounting and Business
    Coimbra School of Accounting and Business is a higher education institution in Portugal specializing in accounting, management, and business-related studies.
  • B. University of Porto chosen
    The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
  • C. Faculty of Economics of the University of Porto
    The Faculty of Economics of the University of Porto is a leading Portuguese higher education institution specializing in economics, management, and related social sciences, known for its research output and professional training.
  • D. NOVA University Lisbon
    NOVA University Lisbon is a leading Portuguese public research university known for its innovative teaching, strong international orientation, and multidisciplinary programs across fields such as science, technology, social sciences, and humanities.
  • E. Faculty of Economics of the University of Coimbra
    The Faculty of Economics of the University of Coimbra is a higher education and research institution in Portugal specializing in economics, management, and related social sciences.
  • F. None of above.

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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51ba1888190a339d726e92f376b completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.