Triple

T19846125
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Nuclear Sciences and Physical Engineering E476863 entity
Predicate hasDepartment P35 FINISHED
Object Department of Materials 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: Department of Materials | Statement: [Faculty of Nuclear Sciences and Physical Engineering, hasDepartment, Department of Materials]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Materials
Context triple: [Faculty of Nuclear Sciences and Physical Engineering, hasDepartment, Department of Materials]
  • A. Department of Materials Science
    The Department of Materials Science is an academic unit specializing in the study, development, and engineering of materials and their properties within Volgograd State Technical University.
  • B. Department of Materials Engineering
    The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering of advanced materials.
  • C. Department of Materials Engineering
    The Department of Materials Engineering is an academic and research unit at the Indian Institute of Science specializing in the study and development of materials and their applications in science and engineering.
  • D. Department of Materials Science and Engineering
    The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
  • E. Department of Materials Science and Technology
    The Department of Materials Science and Technology is an academic unit at Nagaoka University of Technology focused on education and research in the properties, design, and applications of advanced materials.
  • 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: Department of Materials
Target entity description: The Department of Materials is an academic unit specializing in materials science and engineering within the Faculty of Nuclear Sciences and Physical Engineering.
  • A. Department of Materials Science
    The Department of Materials Science is an academic unit specializing in the study, development, and engineering of materials and their properties within Volgograd State Technical University.
  • B. Department of Materials Engineering
    The Department of Materials Engineering is an academic and research unit at the Indian Institute of Science specializing in the study and development of materials and their applications in science and engineering.
  • C. Department of Materials Engineering
    The Department of Materials Engineering is an academic unit at the University of Tokyo focused on research and education in the science, design, and engineering of advanced materials.
  • D. Department of Materials Science and Engineering
    The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
  • E. Department of Materials Science and Technology
    The Department of Materials Science and Technology is an academic unit at Nagaoka University of Technology focused on education and research in the properties, design, and applications of advanced materials.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65809da2c8190bb579ef42513b74d completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.