Triple

T137878
Position Surface form Disambiguated ID Type / Status
Subject College of Engineering (Carnegie Mellon University) E2787 entity
Predicate hasDepartment P35 FINISHED
Object Department of Engineering and Public Policy (Carnegie Mellon University)
The Department of Engineering and Public Policy at Carnegie Mellon University is an interdisciplinary academic unit that integrates engineering, social science, and policy analysis to address complex societal and technological challenges.
E16991 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 Engineering and Public Policy (Carnegie Mellon University) | Statement: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Engineering and Public Policy (Carnegie Mellon University)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Engineering and Public Policy (Carnegie Mellon University)
Context triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Engineering and Public Policy (Carnegie Mellon University)]
  • A. Department of Civil and Environmental Engineering (Carnegie Mellon University)
    The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
  • B. Heinz College of Information Systems and Public Policy
    Heinz College of Information Systems and Public Policy is a graduate school at Carnegie Mellon University known for its interdisciplinary programs in information systems, public policy, and management.
  • C. 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.
  • D. 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.
  • 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 Engineering and Public Policy (Carnegie Mellon University)
Triple: [College of Engineering (Carnegie Mellon University), hasDepartment, Department of Engineering and Public Policy (Carnegie Mellon University)]
Generated description
The Department of Engineering and Public Policy at Carnegie Mellon University is an interdisciplinary academic unit that integrates engineering, social science, and policy analysis to address complex societal and technological challenges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Engineering and Public Policy (Carnegie Mellon University)
Target entity description: The Department of Engineering and Public Policy at Carnegie Mellon University is an interdisciplinary academic unit that integrates engineering, social science, and policy analysis to address complex societal and technological challenges.
  • A. Department of Civil and Environmental Engineering (Carnegie Mellon University)
    The Department of Civil and Environmental Engineering at Carnegie Mellon University is an academic unit focused on education and research in sustainable infrastructure, environmental systems, and resilient built environments.
  • B. Heinz College of Information Systems and Public Policy
    Heinz College of Information Systems and Public Policy is a graduate school at Carnegie Mellon University known for its interdisciplinary programs in information systems, public policy, and management.
  • C. 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.
  • D. 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.
  • 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_69a2bf67902c8190b4e88c70d25439e8 completed Feb. 28, 2026, 10:11 a.m.
NEDg Description generation batch_69a2bfd78fa48190b7af7a5113c1bbf6 completed Feb. 28, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69a2c0ac71bc8190a80b2090d96c1e37 completed Feb. 28, 2026, 10:17 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.