Triple

T22407314
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Technology Akure E553909 entity
Predicate hasDepartment P35 FINISHED
Object Department of Meteorology 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 Meteorology | Statement: [Federal University of Technology Akure, hasDepartment, Department of Meteorology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Meteorology
Context triple: [Federal University of Technology Akure, hasDepartment, Department of Meteorology]
  • A. Department of Meteorology
    The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.
  • B. Department of Meteorology and Geophysics
    The Department of Meteorology and Geophysics is an academic unit specializing in the study and research of atmospheric processes, weather and climate, and the physical properties of the Earth.
  • C. Department of Atmospheric Sciences
    The Department of Atmospheric Sciences is an academic unit focused on research and education in weather, climate, and atmospheric processes.
  • D. Department of Atmospheric and Space Sciences
    The Department of Atmospheric and Space Sciences is an academic and research unit at Savitribai Phule Pune University specializing in the study of Earth's atmosphere, weather, climate, and space-related phenomena.
  • E. Tropical Analysis and Forecast Branch
    The Tropical Analysis and Forecast Branch is a specialized division of the National Hurricane Center that provides marine weather analyses, forecasts, and warnings for tropical and subtropical waters.
  • 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 Meteorology
Target entity description: The Department of Meteorology is an academic unit at the Federal University of Technology Akure specializing in the study and research of weather, climate, and atmospheric sciences.
  • A. Department of Meteorology
    The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.
  • B. Department of Meteorology and Geophysics
    The Department of Meteorology and Geophysics is an academic unit specializing in the study and research of atmospheric processes, weather and climate, and the physical properties of the Earth.
  • C. Department of Atmospheric Sciences
    The Department of Atmospheric Sciences is an academic unit focused on research and education in weather, climate, and atmospheric processes.
  • D. Department of Atmospheric and Space Sciences
    The Department of Atmospheric and Space Sciences is an academic and research unit at Savitribai Phule Pune University specializing in the study of Earth's atmosphere, weather, climate, and space-related phenomena.
  • E. Tropical Analysis and Forecast Branch
    The Tropical Analysis and Forecast Branch is a specialized division of the National Hurricane Center that provides marine weather analyses, forecasts, and warnings for tropical and subtropical waters.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158ba1c6481908e4b9b3635ed3a49 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.