Triple

T11568118
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Marmara University E274307 entity
Predicate hasDepartment P35 FINISHED
Object Department of Food Engineering, Marmara University
The Department of Food Engineering at Marmara University is an academic unit that educates students and conducts research in the processing, safety, and quality control of food products within the university’s engineering faculty.
E933890 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 Food Engineering, Marmara University | Statement: [Faculty of Engineering, Marmara University, hasDepartment, Department of Food Engineering, Marmara University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Food Engineering, Marmara University
Context triple: [Faculty of Engineering, Marmara University, hasDepartment, Department of Food Engineering, Marmara University]
  • A. Industrial Engineering Department, Istanbul University
    The Industrial Engineering Department at Istanbul University is an academic unit that focuses on optimizing complex systems and processes through the application of engineering, management, and analytical methods.
  • B. Chemical Engineering Department, Istanbul University
    The Chemical Engineering Department at Istanbul University is an academic unit within the university’s Faculty of Engineering that focuses on education and research in chemical engineering and related fields.
  • C. School of Food Engineering and Biotechnology
    The School of Food Engineering and Biotechnology is an academic unit of the Mongolian University of Science and Technology specializing in education and research on food science, processing technologies, and biotechnological applications.
  • D. Mechanical Engineering Department, Istanbul University
    The Mechanical Engineering Department at Istanbul University is an academic unit that offers education and conducts research in mechanical engineering within the university’s Faculty of Engineering.
  • E. Faculty of Food Science and Technology
    The Faculty of Food Science and Technology is an academic division of Universiti Putra Malaysia specializing in education and research related to food science, technology, and related disciplines.
  • 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 Food Engineering, Marmara University
Triple: [Faculty of Engineering, Marmara University, hasDepartment, Department of Food Engineering, Marmara University]
Generated description
The Department of Food Engineering at Marmara University is an academic unit that educates students and conducts research in the processing, safety, and quality control of food products within the university’s engineering faculty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Food Engineering, Marmara University
Target entity description: The Department of Food Engineering at Marmara University is an academic unit that educates students and conducts research in the processing, safety, and quality control of food products within the university’s engineering faculty.
  • A. Industrial Engineering Department, Istanbul University
    The Industrial Engineering Department at Istanbul University is an academic unit that focuses on optimizing complex systems and processes through the application of engineering, management, and analytical methods.
  • B. Chemical Engineering Department, Istanbul University
    The Chemical Engineering Department at Istanbul University is an academic unit within the university’s Faculty of Engineering that focuses on education and research in chemical engineering and related fields.
  • C. School of Food Engineering and Biotechnology
    The School of Food Engineering and Biotechnology is an academic unit of the Mongolian University of Science and Technology specializing in education and research on food science, processing technologies, and biotechnological applications.
  • D. Mechanical Engineering Department, Istanbul University
    The Mechanical Engineering Department at Istanbul University is an academic unit that offers education and conducts research in mechanical engineering within the university’s Faculty of Engineering.
  • E. Faculty of Food Science and Technology
    The Faculty of Food Science and Technology is an academic division of Universiti Putra Malaysia specializing in education and research related to food science, technology, and related disciplines.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
NEDg Description generation batch_69e6ef9631e48190aef47bba9ad611e8 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f94ac2d0819098a3024eaab908b5 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.