Triple

T11568117
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Marmara University E274307 entity
Predicate hasDepartment P35 FINISHED
Object Department of Bioengineering, Marmara University
The Department of Bioengineering at Marmara University is an academic unit that focuses on applying engineering principles to biological systems, healthcare technologies, and biotechnology research and education.
E933889 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 Bioengineering, Marmara University | Statement: [Faculty of Engineering, Marmara University, hasDepartment, Department of Bioengineering, Marmara University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Bioengineering, Marmara University
Context triple: [Faculty of Engineering, Marmara University, hasDepartment, Department of Bioengineering, Marmara University]
  • A. Bioengineering Department, Istanbul University
    The Bioengineering Department at Istanbul University is an academic unit within the university’s Faculty of Engineering that focuses on applying engineering principles to biological systems, healthcare, and biotechnology.
  • B. Department of Bioengineering
    The Department of Bioengineering at Nagaoka University of Technology is an academic unit focused on applying engineering principles to biological and medical systems through education and research.
  • C. Department of Bioengineering
    The Department of Bioengineering at UC Berkeley is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as biomedical devices, synthetic biology, and computational biology.
  • 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. Institute of Biomedical Engineering
    The Institute of Biomedical Engineering is a graduate-level research and education center at Boğaziçi University focused on developing and applying engineering principles and technologies to solve problems in medicine and biology.
  • 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 Bioengineering, Marmara University
Triple: [Faculty of Engineering, Marmara University, hasDepartment, Department of Bioengineering, Marmara University]
Generated description
The Department of Bioengineering at Marmara University is an academic unit that focuses on applying engineering principles to biological systems, healthcare technologies, and biotechnology research and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Bioengineering, Marmara University
Target entity description: The Department of Bioengineering at Marmara University is an academic unit that focuses on applying engineering principles to biological systems, healthcare technologies, and biotechnology research and education.
  • A. Bioengineering Department, Istanbul University
    The Bioengineering Department at Istanbul University is an academic unit within the university’s Faculty of Engineering that focuses on applying engineering principles to biological systems, healthcare, and biotechnology.
  • B. Department of Bioengineering
    The Department of Bioengineering at Nagaoka University of Technology is an academic unit focused on applying engineering principles to biological and medical systems through education and research.
  • C. Department of Bioengineering
    The Department of Bioengineering at UC Berkeley is an academic unit that integrates engineering, biology, and medicine to advance research and education in areas such as biomedical devices, synthetic biology, and computational biology.
  • 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. Institute of Biomedical Engineering
    The Institute of Biomedical Engineering is a graduate-level research and education center at Boğaziçi University focused on developing and applying engineering principles and technologies to solve problems in medicine and biology.
  • 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.