Triple

T137872
Position Surface form Disambiguated ID Type / Status
Subject College of Engineering (Carnegie Mellon University) E2787 entity
Predicate hasDepartment P35 FINISHED
Object Department of Electrical and Computer Engineering (Carnegie Mellon University)
The Department of Electrical and Computer Engineering at Carnegie Mellon University is a leading academic and research department specializing in cutting-edge areas such as electronics, computer systems, communications, and signal processing.
E16646 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 and Computer Engineering (Carnegie Mellon University) | Statement: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Electrical and Computer Engineering (Carnegie Mellon University)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Electrical and Computer Engineering (Carnegie Mellon University)
Context triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Electrical and Computer Engineering (Carnegie Mellon University)]
  • A. CMU College of Engineering
    CMU College of Engineering is the engineering school of Carnegie Mellon University, renowned for its cutting-edge research and education in areas such as robotics, computer engineering, and materials science.
  • B. Computer Science Department, Carnegie Mellon University
    The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
  • C. MIT Department of Electrical Engineering
    The MIT Department of Electrical Engineering is a leading academic department at the Massachusetts Institute of Technology renowned for pioneering research and education in electrical engineering and related fields.
  • D. Department of Biomedical Engineering (Carnegie Mellon University)
    The Department of Biomedical Engineering at Carnegie Mellon University is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as medical devices, tissue engineering, and computational biology.
  • E. Department of Mechanical Engineering (Carnegie Mellon University)
    The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
  • 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 and Computer Engineering (Carnegie Mellon University)
Triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Electrical and Computer Engineering (Carnegie Mellon University)]
Generated description
The Department of Electrical and Computer Engineering at Carnegie Mellon University is a leading academic and research department specializing in cutting-edge areas such as electronics, computer systems, communications, and signal processing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Electrical and Computer Engineering (Carnegie Mellon University)
Target entity description: The Department of Electrical and Computer Engineering at Carnegie Mellon University is a leading academic and research department specializing in cutting-edge areas such as electronics, computer systems, communications, and signal processing.
  • A. CMU College of Engineering
    CMU College of Engineering is the engineering school of Carnegie Mellon University, renowned for its cutting-edge research and education in areas such as robotics, computer engineering, and materials science.
  • B. Computer Science Department, Carnegie Mellon University
    The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
  • C. MIT Department of Electrical Engineering
    The MIT Department of Electrical Engineering is a leading academic department at the Massachusetts Institute of Technology renowned for pioneering research and education in electrical engineering and related fields.
  • D. Department of Biomedical Engineering (Carnegie Mellon University)
    The Department of Biomedical Engineering at Carnegie Mellon University is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as medical devices, tissue engineering, and computational biology.
  • E. Department of Mechanical Engineering (Carnegie Mellon University)
    The Department of Mechanical Engineering at Carnegie Mellon University is a leading academic and research unit known for its strengths in robotics, energy systems, advanced manufacturing, and computational engineering.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a6cab88190944c8f74d8d1605c completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b85fe4d481909e39b745857b62e7 completed Feb. 28, 2026, 9:41 a.m.
NEDg Description generation batch_69a2b8fccfe081909f9b3d4c5f900a1c completed Feb. 28, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69a2b983d1d081909a850747695b8e0c completed Feb. 28, 2026, 9:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.