Triple

T2341271
Position Surface form Disambiguated ID Type / Status
Subject McKelvey School of Engineering E45030 entity
Predicate hasDepartment P35 FINISHED
Object Department of Electrical & Systems Engineering
The Department of Electrical & Systems Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on education and research in electrical engineering, systems engineering, and related fields.
E259219 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: Department of Electrical & Systems Engineering | Statement: [McKelvey School of Engineering, hasDepartment, Department of Electrical & Systems Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Electrical & Systems Engineering
Context triple: [McKelvey School of Engineering, hasDepartment, Department of Electrical & Systems Engineering]
  • A. Department of Electrical and Electronic Engineering
    The Department of Electrical and Electronic Engineering at Kyoto University is an academic unit specializing in education and research on electrical, electronic, and information technologies.
  • B. Department of Electrical Engineering
    The Department of Electrical Engineering is an academic unit of Jadavpur University specializing in education and research in electrical and related engineering fields.
  • C. Department of Electrical Engineering
    The Department of Electrical Engineering at Sharif University of Technology is a leading Iranian academic center for education and research in electrical and computer engineering disciplines.
  • D. Electrical and Electronics Engineering Department
    The Electrical and Electronics Engineering Department is a leading academic unit at Boğaziçi University known for its strong engineering curriculum, research output, and highly competitive student body.
  • E. Department of Electrical Engineering and Information Systems
    The Department of Electrical Engineering and Information Systems at the University of Tokyo is an academic department focused on education and research in advanced electrical engineering, electronics, and information and communication technologies.
  • 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: Department of Electrical & Systems Engineering
Triple: [McKelvey School of Engineering, hasDepartment, Department of Electrical & Systems Engineering]
Generated description
The Department of Electrical & Systems Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on education and research in electrical engineering, systems engineering, and related fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Electrical & Systems Engineering
Target entity description: The Department of Electrical & Systems Engineering is an academic department within Washington University in St. Louis’s McKelvey School of Engineering that focuses on education and research in electrical engineering, systems engineering, and related fields.
  • A. Department of Electrical and Electronic Engineering
    The Department of Electrical and Electronic Engineering at Kyoto University is an academic unit specializing in education and research on electrical, electronic, and information technologies.
  • B. Department of Electrical Engineering
    The Department of Electrical Engineering is an academic unit of Jadavpur University specializing in education and research in electrical and related engineering fields.
  • C. Department of Electrical Engineering
    The Department of Electrical Engineering at Sharif University of Technology is a leading Iranian academic center for education and research in electrical and computer engineering disciplines.
  • D. Electrical and Electronics Engineering Department
    The Electrical and Electronics Engineering Department is a leading academic unit at Boğaziçi University known for its strong engineering curriculum, research output, and highly competitive student body.
  • E. Department of Electrical Engineering and Information Systems
    The Department of Electrical Engineering and Information Systems at the University of Tokyo is an academic department focused on education and research in advanced electrical engineering, electronics, and information and communication technologies.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6abf1688190b7c404de0979149a completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961fd8748190a82ca4c4b840d9f6 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae980425b0819092477f5cf9816d65 completed March 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae9bef58f881908161d143369ba11a completed March 9, 2026, 10:07 a.m.
Created at: March 4, 2026, 7:52 p.m.