Triple

T10155785
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Humanities and Social Sciences, Queen Mary University of London E232772 entity
Predicate hasSubUnit P35 FINISHED
Object School of Politics and International Relations, Queen Mary University of London
The School of Politics and International Relations at Queen Mary University of London is an academic department specializing in the study and research of politics, international relations, and related social sciences.
E843967 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 Politics and International Relations, Queen Mary University of London | Statement: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Politics and International Relations, Queen Mary University of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Politics and International Relations, Queen Mary University of London
Context triple: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Politics and International Relations, Queen Mary University of London]
  • A. School of Politics and International Relations
    The School of Politics and International Relations is an academic unit specializing in political science and international relations education and research at Quaid-i-Azam University in Pakistan.
  • B. UCL Department of Political Science
    The UCL Department of Political Science is a leading UK academic department specializing in political science, public policy, and international relations, known for its research-intensive programs and policy engagement.
  • C. Department of Politics and International Studies, University of Cambridge
    The Department of Politics and International Studies at the University of Cambridge is a leading academic centre for the study and research of politics, international relations, and related social sciences.
  • D. UCL IOE
    UCL IOE is the education-focused faculty of University College London, renowned for its research and teaching in education and social science.
  • E. Department of Politics and International Studies
    The Department of Politics and International Studies at the University of Warwick is an academic department specializing in the study and research of politics, international relations, and global affairs.
  • 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 Politics and International Relations, Queen Mary University of London
Triple: [Faculty of Humanities and Social Sciences, Queen Mary University of London, hasSubUnit, School of Politics and International Relations, Queen Mary University of London]
Generated description
The School of Politics and International Relations at Queen Mary University of London is an academic department specializing in the study and research of politics, international relations, and related social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Politics and International Relations, Queen Mary University of London
Target entity description: The School of Politics and International Relations at Queen Mary University of London is an academic department specializing in the study and research of politics, international relations, and related social sciences.
  • A. School of Politics and International Relations
    The School of Politics and International Relations is an academic unit specializing in political science and international relations education and research at Quaid-i-Azam University in Pakistan.
  • B. UCL Department of Political Science
    The UCL Department of Political Science is a leading UK academic department specializing in political science, public policy, and international relations, known for its research-intensive programs and policy engagement.
  • C. Department of Politics and International Studies, University of Cambridge
    The Department of Politics and International Studies at the University of Cambridge is a leading academic centre for the study and research of politics, international relations, and related social sciences.
  • D. UCL IOE
    UCL IOE is the education-focused faculty of University College London, renowned for its research and teaching in education and social science.
  • E. Department of Politics and International Studies
    The Department of Politics and International Studies at the University of Warwick is an academic department specializing in the study and research of politics, international relations, and global affairs.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3a5e7c819098b2f9ccbde7cf94 completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e65b9d4c8190b1f520ed08256372 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e82a49e08190918e85d8b8b2e5c6 completed April 5, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8a37b388190a0d79d61573cf06d completed April 5, 2026, 10:56 p.m.
Created at: March 30, 2026, 9:09 p.m.