Triple

T9978529
Position Surface form Disambiguated ID Type / Status
Subject Howard R. Hughes College of Engineering E196390 entity
Predicate hasDepartment P35 FINISHED
Object Department of Mechanical Engineering
The Department of Mechanical Engineering is an academic unit within the Howard R. Hughes College of Engineering that focuses on the study, research, and application of mechanics, materials, thermofluids, and design in engineering systems.
E834062 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 Mechanical Engineering | Statement: [Howard R. Hughes College of Engineering, hasDepartment, Department of Mechanical Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering
Context triple: [Howard R. Hughes College of Engineering, hasDepartment, Department of Mechanical Engineering]
  • A. Department of Mechanical Engineering
    The Department of Mechanical Engineering at McGill University is an academic unit that offers education and conducts research in areas such as mechanics, materials, thermofluids, and design within the Faculty of Engineering.
  • B. Department of Mechanical Engineering
    The Department of Mechanical Engineering at UC Berkeley is a leading academic and research unit focused on advancing mechanical sciences and engineering through innovative education and cutting-edge research.
  • C. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit within the A. James Clark School of Engineering that focuses on education and research in the design, analysis, and manufacturing of mechanical systems and technologies.
  • D. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit at the College of Engineering Pune that focuses on education and research in mechanical systems, design, manufacturing, and related engineering fields.
  • E. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit within Columbia University's Fu Foundation School of Engineering and Applied Science that focuses on the study and research of mechanics, materials, thermofluids, and related engineering systems.
  • 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 Mechanical Engineering
Triple: [Howard R. Hughes College of Engineering, hasDepartment, Department of Mechanical Engineering]
Generated description
The Department of Mechanical Engineering is an academic unit within the Howard R. Hughes College of Engineering that focuses on the study, research, and application of mechanics, materials, thermofluids, and design in engineering systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Mechanical Engineering
Target entity description: The Department of Mechanical Engineering is an academic unit within the Howard R. Hughes College of Engineering that focuses on the study, research, and application of mechanics, materials, thermofluids, and design in engineering systems.
  • A. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit within the Marlan and Rosemary Bourns College of Engineering that focuses on education and research in areas such as mechanics, thermofluids, materials, and mechanical system design.
  • B. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit within Columbia University's Fu Foundation School of Engineering and Applied Science that focuses on the study and research of mechanics, materials, thermofluids, and related engineering systems.
  • C. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit focused on teaching and research in areas such as mechanics, thermodynamics, materials, and machine design within the School of Sciences and Engineering.
  • D. Department of Mechanical Engineering
    The Department of Mechanical Engineering at McGill University is an academic unit that offers education and conducts research in areas such as mechanics, materials, thermofluids, and design within the Faculty of Engineering.
  • E. Department of Mechanical Engineering
    The Department of Mechanical Engineering is an academic unit at Harcourt Butler Technical University that focuses on education and research in mechanical systems, design, manufacturing, and related engineering fields.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84ef8ac8190abbe78b7611c5309 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257d3fc308190b82b3731139d15cb completed April 5, 2026, 12:38 p.m.
NEDg Description generation batch_69d258b6d9c0819096dbd3e85dc6adfc completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.