Triple

T8340798
Position Surface form Disambiguated ID Type / Status
Subject College of Engineering (Georgia Institute of Technology) E195904 entity
Predicate hasAcademicUnit P1488 FINISHED
Object School of Biomedical Engineering (Georgia Tech)
The School of Biomedical Engineering at Georgia Tech is an academic unit that integrates engineering principles with biological and medical sciences to advance healthcare technologies and train biomedical engineers.
E728559 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 Biomedical Engineering (Georgia Tech) | Statement: [College of Engineering (Georgia Institute of Technology), hasAcademicUnit, School of Biomedical Engineering (Georgia Tech)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Biomedical Engineering (Georgia Tech)
Context triple: [College of Engineering (Georgia Institute of Technology), hasAcademicUnit, School of Biomedical Engineering (Georgia Tech)]
  • A. School of Biomedical Engineering
    The School of Biomedical Engineering is an academic unit of Shanghai Jiao Tong University dedicated to education and research at the intersection of engineering, medicine, and life sciences.
  • B. Institute of Biomedical Engineering
    The Institute of Biomedical Engineering is a graduate-level research and education center at Boğaziçi University focused on developing and applying engineering principles and technologies to solve problems in medicine and biology.
  • C. Graduate School of Biomedical Engineering
    The Graduate School of Biomedical Engineering is a specialized graduate institution at Tohoku University focused on advanced research and education at the intersection of engineering, medicine, and life sciences.
  • D. Institute of Bioengineering
    The Institute of Bioengineering at EPFL is a research and teaching center that integrates engineering, life sciences, and technology to advance biomedical innovation and understanding of biological systems.
  • E. Department of Biomedical Engineering
    The Department of Biomedical Engineering is an academic unit at McGill University that focuses on applying engineering principles and technologies to advance medical research, healthcare, and human health.
  • 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 Biomedical Engineering (Georgia Tech)
Triple: [College of Engineering (Georgia Institute of Technology), hasAcademicUnit, School of Biomedical Engineering (Georgia Tech)]
Generated description
The School of Biomedical Engineering at Georgia Tech is an academic unit that integrates engineering principles with biological and medical sciences to advance healthcare technologies and train biomedical engineers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Biomedical Engineering (Georgia Tech)
Target entity description: The School of Biomedical Engineering at Georgia Tech is an academic unit that integrates engineering principles with biological and medical sciences to advance healthcare technologies and train biomedical engineers.
  • A. School of Biomedical Engineering
    The School of Biomedical Engineering is an academic unit of Shanghai Jiao Tong University dedicated to education and research at the intersection of engineering, medicine, and life sciences.
  • B. Institute of Biomedical Engineering
    The Institute of Biomedical Engineering is a graduate-level research and education center at Boğaziçi University focused on developing and applying engineering principles and technologies to solve problems in medicine and biology.
  • C. Graduate School of Biomedical Engineering
    The Graduate School of Biomedical Engineering is a specialized graduate institution at Tohoku University focused on advanced research and education at the intersection of engineering, medicine, and life sciences.
  • D. Institute of Bioengineering
    The Institute of Bioengineering at EPFL is a research and teaching center that integrates engineering, life sciences, and technology to advance biomedical innovation and understanding of biological systems.
  • E. Department of Biomedical Engineering
    The Department of Biomedical Engineering is an academic unit at Duke University's Pratt School of Engineering that focuses on applying engineering principles to advance medical and biological research, healthcare technologies, and clinical practice.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcc8596888190867bb0f298b6fac1 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd14de9408190a5522fbdbef4d748 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 5:57 p.m.