Triple

T17013261
Position Surface form Disambiguated ID Type / Status
Subject Department of Aerospace Engineering, University of Sheffield E412753 entity
Predicate partOf P40 FINISHED
Object Faculty of Engineering, University of Sheffield E1247000 NE FINISHED

How this triple was built (2 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, University of Sheffield | Statement: [Department of Aerospace Engineering, University of Sheffield, partOf, Faculty of Engineering, University of Sheffield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering, University of Sheffield
Context triple: [Department of Aerospace Engineering, University of Sheffield, partOf, Faculty of Engineering, University of Sheffield]
  • A. Faculty of Engineering, University of Sheffield chosen
    The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments and research centers, recognized for its contributions to engineering education and innovation.
  • B. School of Architecture, University of Sheffield
    The School of Architecture at the University of Sheffield is a leading UK architecture school known for its strong emphasis on socially engaged design, sustainability, and innovative architectural education and research.
  • C. Department of Mechanical Engineering, University of Sheffield
    The Department of Mechanical Engineering at the University of Sheffield is a leading UK academic department specializing in research and education across core and advanced areas of mechanical engineering.
  • D. Department of Electronic and Electrical Engineering, University of Sheffield
    The Department of Electronic and Electrical Engineering at the University of Sheffield is an academic department specializing in teaching and research across areas such as electronics, electrical power, communications, and control systems within the university’s Faculty of Engineering.
  • E. Faculty of Science, University of Sheffield
    The Faculty of Science at the University of Sheffield is an academic division encompassing multiple science departments and research institutes focused on advancing scientific education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47dab688190bf486bcf0b40ed4f completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a017934b4e08190b54865802ead49fb completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:33 a.m.