Triple

T11420832
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth City State University E270613 entity
Predicate hasAcademicDivision P50 FINISHED
Object School of Science, Aviation, Health and Technology
The School of Science, Aviation, Health and Technology is an academic division of Elizabeth City State University that offers programs in scientific disciplines, aviation-related fields, health professions, and applied technologies.
E924486 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 Science, Aviation, Health and Technology | Statement: [Elizabeth City State University, hasAcademicDivision, School of Science, Aviation, Health and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Science, Aviation, Health and Technology
Context triple: [Elizabeth City State University, hasAcademicDivision, School of Science, Aviation, Health and Technology]
  • A. School of Science, Technology and Health
    The School of Science, Technology and Health is an academic division of York St John University that delivers teaching and research across scientific, technological and health-related disciplines.
  • B. College of Health, Science, and Technology
    The College of Health, Science, and Technology is an academic division of the University of Central Missouri that offers programs and research opportunities in health-related fields, natural sciences, and technological disciplines.
  • C. College of Health, Science, and Technology
    The College of Health, Science, and Technology is an academic division of Fayetteville State University that offers programs and research opportunities in health-related fields, natural sciences, and technological disciplines.
  • D. College of Science, Technology, Mathematics and Health Sciences
    The College of Science, Technology, Mathematics and Health Sciences is an academic division of Eastern Oregon University that offers programs and research opportunities in STEM and health-related fields.
  • E. School of Science and Technology
    The School of Science and Technology is an academic division of United States International University Africa that offers programs and research in scientific and technological disciplines.
  • 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 Science, Aviation, Health and Technology
Triple: [Elizabeth City State University, hasAcademicDivision, School of Science, Aviation, Health and Technology]
Generated description
The School of Science, Aviation, Health and Technology is an academic division of Elizabeth City State University that offers programs in scientific disciplines, aviation-related fields, health professions, and applied technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Science, Aviation, Health and Technology
Target entity description: The School of Science, Aviation, Health and Technology is an academic division of Elizabeth City State University that offers programs in scientific disciplines, aviation-related fields, health professions, and applied technologies.
  • A. School of Science, Technology and Health
    The School of Science, Technology and Health is an academic division of York St John University that delivers teaching and research across scientific, technological and health-related disciplines.
  • B. College of Health, Science, and Technology
    The College of Health, Science, and Technology is an academic division of the University of Central Missouri that offers programs and research opportunities in health-related fields, natural sciences, and technological disciplines.
  • C. College of Health, Science, and Technology
    The College of Health, Science, and Technology is an academic division of Fayetteville State University that offers programs and research opportunities in health-related fields, natural sciences, and technological disciplines.
  • D. College of Science, Technology, Mathematics and Health Sciences
    The College of Science, Technology, Mathematics and Health Sciences is an academic division of Eastern Oregon University that offers programs and research opportunities in STEM and health-related fields.
  • E. School of Science and Technology
    The School of Science and Technology is an academic division of United States International University Africa that offers programs and research in scientific and technological disciplines.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b88f80d88190b91b63d0b7457c25 completed April 20, 2026, 5:24 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.