Triple

T12838427
Position Surface form Disambiguated ID Type / Status
Subject College of Engineering (University of Canterbury) E306980 entity
Predicate hasDepartment P35 FINISHED
Object Mechanical Engineering department
The Mechanical Engineering department at the University of Canterbury’s College of Engineering focuses on the design, analysis, and manufacture of mechanical systems, offering research and teaching in areas such as dynamics, materials, thermofluids, and mechatronics.
E1004132 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: Mechanical Engineering department | Statement: [College of Engineering (University of Canterbury), hasDepartment, Mechanical Engineering department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mechanical Engineering department
Context triple: [College of Engineering (University of Canterbury), hasDepartment, Mechanical Engineering department]
  • A. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic division specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within Vidya Pratishthan’s College of Engineering.
  • B. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanical systems, design, and manufacturing within Helwan University's Faculty of Engineering.
  • C. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within the Faculty of Engineering at Mansoura University.
  • D. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within Assam Engineering College.
  • E. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within Samrat Ashok Technological Institute.
  • 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: Mechanical Engineering department
Triple: [College of Engineering (University of Canterbury), hasDepartment, Mechanical Engineering department]
Generated description
The Mechanical Engineering department at the University of Canterbury’s College of Engineering focuses on the design, analysis, and manufacture of mechanical systems, offering research and teaching in areas such as dynamics, materials, thermofluids, and mechatronics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mechanical Engineering department
Target entity description: The Mechanical Engineering department at the University of Canterbury’s College of Engineering focuses on the design, analysis, and manufacture of mechanical systems, offering research and teaching in areas such as dynamics, materials, thermofluids, and mechatronics.
  • A. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within Samrat Ashok Technological Institute.
  • B. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic division specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within Vidya Pratishthan’s College of Engineering.
  • C. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within the Faculty of Engineering at Mansoura University.
  • D. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanics, thermodynamics, materials, and manufacturing processes within Assam Engineering College.
  • E. Mechanical Engineering Department
    The Mechanical Engineering Department is an academic unit specializing in the study and application of mechanical systems, design, and manufacturing within Helwan University's Faculty of 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:35 p.m.