Triple

T18006069
Position Surface form Disambiguated ID Type / Status
Subject University of Porto E430749 entity
Predicate hasPart P35 FINISHED
Object Faculty of Sciences 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 Sciences of the University of Porto | Statement: [University of Porto, hasPart, Faculty of Sciences of the University of Porto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Sciences of the University of Porto
Context triple: [University of Porto, hasPart, Faculty of Sciences of the University of Porto]
  • A. Faculty of Sciences and Technology of the University of Coimbra
    The Faculty of Sciences and Technology of the University of Coimbra is a major academic unit specializing in scientific and engineering education and research within Portugal’s historic University of Coimbra.
  • 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. Academia das Ciências de Lisboa
    Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
  • D. University of Minho
    The University of Minho is a Portuguese public university known for its strong emphasis on research, innovation, and international collaboration across a wide range of academic disciplines.
  • E. University of Beira Interior
    The University of Beira Interior is a Portuguese public university located in the city of Covilhã, known for its strong programs in engineering, health sciences, and 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: Faculty of Sciences of the University of Porto
Target entity description: The Faculty of Sciences of the University of Porto is a major Portuguese higher education and research institution specializing in natural and exact sciences.
  • A. Faculty of Sciences and Technology of the University of Coimbra
    The Faculty of Sciences and Technology of the University of Coimbra is a major academic unit specializing in scientific and engineering education and research within Portugal’s historic University of Coimbra.
  • 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. Academia das Ciências de Lisboa
    Academia das Ciências de Lisboa is Portugal’s national academy of sciences, a scholarly institution that plays a central role in promoting scientific research and overseeing linguistic and cultural standards.
  • D. University of Minho
    The University of Minho is a Portuguese public university known for its strong emphasis on research, innovation, and international collaboration across a wide range of academic disciplines.
  • E. University of Beira Interior
    The University of Beira Interior is a Portuguese public university located in the city of Covilhã, known for its strong programs in engineering, health sciences, and social sciences.
  • 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.