Triple

T22619654
Position Surface form Disambiguated ID Type / Status
Subject UM E558239 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science and 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 Science and Engineering | Statement: [UM, hasFaculty, Faculty of Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Engineering
Context triple: [UM, hasFaculty, Faculty of Science and Engineering]
  • A. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a major academic division of Sorbonne University that focuses on education and research in the natural sciences, mathematics, and engineering disciplines.
  • B. Faculty of Science and Engineering
    The Faculty of Science and Engineering at the University of Groningen is a major academic division offering education and research across a broad range of natural sciences, engineering, and technology disciplines.
  • C. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a major academic division of Queen Mary University of London that delivers teaching and research across a broad range of scientific and engineering disciplines.
  • D. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of Doshisha University that offers education and research programs across various scientific and engineering disciplines.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of Université Quisqueya dedicated to education and research in scientific and engineering disciplines.
  • 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 Science and Engineering
Target entity description: The Faculty of Science and Engineering is an academic division of UM that offers education and conducts research across the natural sciences, engineering, and related technological disciplines.
  • A. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a division of Åbo Akademi University that focuses on education and research in natural sciences, technology, and related engineering disciplines.
  • B. Faculty of Science and Engineering
    The Faculty of Science and Engineering is the academic division of the University of Limerick responsible for education and research in scientific and engineering disciplines.
  • C. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of the University of Hull that delivers teaching and research across scientific and engineering disciplines.
  • D. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of Manchester Metropolitan University that delivers teaching and research across a range of scientific and engineering disciplines.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering is Soka University's division dedicated to education and research in scientific and technological disciplines.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.