Triple

T22407298
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Technology Akure E553909 entity
Predicate hasFaculty P141 FINISHED
Object School of Earth and Mineral Sciences
The School of Earth and Mineral Sciences is an academic faculty at the Federal University of Technology Akure specializing in education and research related to geosciences, mineral resources, and related earth sciences.
E1535397 NE FINISHED

How this triple was built (4 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: School of Earth and Mineral Sciences | Statement: [Federal University of Technology Akure, hasFaculty, School of Earth and Mineral Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Earth and Mineral Sciences
Context triple: [Federal University of Technology Akure, hasFaculty, School of Earth and Mineral Sciences]
  • A. College of Earth and Mineral Sciences
    The College of Earth and Mineral Sciences is a Penn State academic unit specializing in geosciences, energy, materials, and environmental studies, known for research and education on Earth systems and natural resources.
  • B. College of Earth and Environmental Sciences
    The College of Earth and Environmental Sciences is an academic unit of Lanzhou University specializing in education and research on Earth systems, environmental processes, and related scientific disciplines.
  • C. College of Earth Sciences
    The College of Earth Sciences is an academic division of National Central University in Taiwan specializing in education and research on Earth and environmental sciences.
  • D. College of Mines and Earth Sciences
    The College of Mines and Earth Sciences is an academic division specializing in geology, mining engineering, atmospheric sciences, and related earth science disciplines.
  • E. School of Earth Sciences
    The School of Earth Sciences at Wuhan University is an academic faculty specializing in the study and research of geology, geophysics, and related Earth and environmental sciences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Earth and Mineral Sciences
Triple: [Federal University of Technology Akure, hasFaculty, School of Earth and Mineral Sciences]
Generated description
The School of Earth and Mineral Sciences is an academic faculty at the Federal University of Technology Akure specializing in education and research related to geosciences, mineral resources, and related earth sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Earth and Mineral Sciences
Target entity description: The School of Earth and Mineral Sciences is an academic faculty at the Federal University of Technology Akure specializing in education and research related to geosciences, mineral resources, and related earth sciences.
  • A. College of Earth and Mineral Sciences
    The College of Earth and Mineral Sciences is a Penn State academic unit specializing in geosciences, energy, materials, and environmental studies, known for research and education on Earth systems and natural resources.
  • B. College of Earth and Environmental Sciences
    The College of Earth and Environmental Sciences is an academic unit of Lanzhou University specializing in education and research on Earth systems, environmental processes, and related scientific disciplines.
  • C. College of Earth Sciences
    The College of Earth Sciences is an academic division of National Central University in Taiwan specializing in education and research on Earth and environmental sciences.
  • D. College of Mines and Earth Sciences
    The College of Mines and Earth Sciences is an academic division specializing in geology, mining engineering, atmospheric sciences, and related earth science disciplines.
  • E. School of Earth Sciences
    The School of Earth Sciences at Wuhan University is an academic faculty specializing in the study and research of geology, geophysics, and related Earth and environmental sciences.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0af0e2a0208190b0629e6b2ded7248 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af1e319848190bd12804239ba4d89 completed May 18, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0af29431648190a506d5e1a4fc9ce7 completed May 18, 2026, 11:05 a.m.
Created at: April 16, 2026, 8:46 p.m.