Triple

T8972412
Position Surface form Disambiguated ID Type / Status
Subject Trinity College Institute of Neuroscience E214298 entity
Predicate academicAffiliation P467 FINISHED
Object School of Engineering, Trinity College Dublin
The School of Engineering at Trinity College Dublin is a leading academic unit of the university that provides education and research across multiple engineering disciplines, contributing to Ireland’s technological innovation and industry collaboration.
E770280 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: School of Engineering, Trinity College Dublin | Statement: [Trinity College Institute of Neuroscience, academicAffiliation, School of Engineering, Trinity College Dublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Engineering, Trinity College Dublin
Context triple: [Trinity College Institute of Neuroscience, academicAffiliation, School of Engineering, Trinity College Dublin]
  • A. Technological University Dublin
    Technological University Dublin is a major Irish technological university formed from the merger of several institutes of technology, offering a wide range of career-focused programs and applied research across multiple campuses in Dublin.
  • B. University College Dublin
    University College Dublin is a major public research university in Ireland, renowned for its wide range of academic programs and significant contributions to scholarship and innovation.
  • C. Faculty of Engineering and Physical Sciences at Queen’s University Belfast
    The Faculty of Engineering and Physical Sciences at Queen’s University Belfast is an academic division that encompasses disciplines such as engineering, computing, and the physical sciences, supporting research and teaching across these technical fields.
  • D. Department of Engineering, University of Cambridge
    The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
  • E. School of Engineering, University of Edinburgh
    The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
  • 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: School of Engineering, Trinity College Dublin
Triple: [Trinity College Institute of Neuroscience, academicAffiliation, School of Engineering, Trinity College Dublin]
Generated description
The School of Engineering at Trinity College Dublin is a leading academic unit of the university that provides education and research across multiple engineering disciplines, contributing to Ireland’s technological innovation and industry collaboration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Engineering, Trinity College Dublin
Target entity description: The School of Engineering at Trinity College Dublin is a leading academic unit of the university that provides education and research across multiple engineering disciplines, contributing to Ireland’s technological innovation and industry collaboration.
  • A. Technological University Dublin
    Technological University Dublin is a major Irish technological university formed from the merger of several institutes of technology, offering a wide range of career-focused programs and applied research across multiple campuses in Dublin.
  • B. University College Dublin
    University College Dublin is a major public research university in Ireland, renowned for its wide range of academic programs and significant contributions to scholarship and innovation.
  • C. Faculty of Engineering and Physical Sciences at Queen’s University Belfast
    The Faculty of Engineering and Physical Sciences at Queen’s University Belfast is an academic division that encompasses disciplines such as engineering, computing, and the physical sciences, supporting research and teaching across these technical fields.
  • D. Department of Engineering, University of Cambridge
    The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
  • E. School of Engineering, University of Edinburgh
    The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6780d45081909f2bc5295c8550f9 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9632afc8190a4dc14d33e8757ee completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb178d488190ab8ea897f964c10a completed April 3, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69cfcc1bb3248190ac94ed37be2dcde4 completed April 3, 2026, 2:18 p.m.
Created at: March 30, 2026, 7:02 p.m.