Triple

T20454947
Position Surface form Disambiguated ID Type / Status
Subject Shahjalal University of Science and Technology E501749 entity
Predicate hasDepartment P35 FINISHED
Object Department of Statistics 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 Statistics | Statement: [Shahjalal University of Science and Technology, hasDepartment, Department of Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Statistics
Context triple: [Shahjalal University of Science and Technology, hasDepartment, Department of Statistics]
  • A. Department of Statistics
    The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • B. Department of Statistics
    The Department of Statistics at Savitribai Phule Pune University is an academic unit dedicated to education and research in statistical theory, methods, and applications.
  • C. Department of Statistics
    The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • D. Department of Statistics
    The Department of Statistics at the Athens University of Economics and Business is an academic unit specializing in statistical theory, methods, and applications in economics, business, and related fields.
  • E. Department of Statistics
    The Department of Statistics at Hacettepe University is an academic unit within the Faculty of Science that focuses on education and research in statistical theory, methods, and applications.
  • 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 Statistics
Target entity description: The Department of Statistics is an academic unit at Shahjalal University of Science and Technology in Bangladesh that focuses on education and research in statistical theory and its applications.
  • A. Department of Statistics
    The Department of Statistics is an academic unit at Yangon University of Economics that focuses on teaching and research in statistical theory and its applications to economics and related fields.
  • B. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the broader Faculty of Mathematics, Informatics and Statistics.
  • C. Department of Statistics
    The Department of Statistics is an academic unit within the College of Natural and Agricultural Sciences that focuses on education and research in statistical theory, methods, and applications.
  • D. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications, typically offering teaching and research programs in data analysis, probability, and related quantitative fields.
  • E. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within Gazi University's Faculty of Science.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a0dd188190ab6cbb387d9c0c1d completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.