Triple

T18006073
Position Surface form Disambiguated ID Type / Status
Subject University of Porto E430749 entity
Predicate hasPart P35 FINISHED
Object Faculty of Economics of the University of Porto 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 Economics of the University of Porto | Statement: [University of Porto, hasPart, Faculty of Economics of the University of Porto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Economics of the University of Porto
Context triple: [University of Porto, hasPart, Faculty of Economics of the University of Porto]
  • A. 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.
  • B. Faculdade de Economia da Universidade Nova de Lisboa
    Faculdade de Economia da Universidade Nova de Lisboa is the former Portuguese name of what is now NOVA School of Business and Economics, a leading business and economics school of Universidade Nova de Lisboa.
  • C. 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.
  • D. 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.
  • E. ISCTE – University Institute of Lisbon
    ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
  • 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 Economics of the University of Porto
Target entity description: 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.
  • A. 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.
  • B. Faculdade de Economia da Universidade Nova de Lisboa
    Faculdade de Economia da Universidade Nova de Lisboa is the former Portuguese name of what is now NOVA School of Business and Economics, a leading business and economics school of Universidade Nova de Lisboa.
  • C. 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.
  • D. 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.
  • E. ISCTE – University Institute of Lisbon
    ISCTE – University Institute of Lisbon is a Portuguese public university-level institution in Lisbon known for its strong programs in social sciences, management, technology, and architecture.
  • 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_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.