Triple

T22619674
Position Surface form Disambiguated ID Type / Status
Subject UM E558239 entity
Predicate hasResearchInstitute P186 FINISHED
Object Maastricht Centre for European Law NE NERFINISHED

How this triple was built (3 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: Maastricht Centre for European Law | Statement: [UM, hasResearchInstitute, Maastricht Centre for European Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maastricht Centre for European Law
Context triple: [UM, hasResearchInstitute, Maastricht Centre for European Law]
  • A. Centre for European Legal Studies
    The Centre for European Legal Studies is a research institute at the University of Cambridge’s Faculty of Law dedicated to the study and analysis of European law and legal integration.
  • B. Maastricht University
    Maastricht University is a public research university in the Dutch city of Maastricht, known for its international orientation and problem-based learning approach.
  • C. College of Europe
    The College of Europe is a prestigious postgraduate institute of European studies known for training future leaders and officials of European institutions.
  • D. Centre for Comparative and Transnational Law
    The Centre for Comparative and Transnational Law is a research hub at The Chinese University of Hong Kong’s Faculty of Law that focuses on cross-border, comparative, and international legal studies.
  • E. European University Institute
    The European University Institute is an international postgraduate and post-doctoral teaching and research institution in Florence, Italy, specializing in social sciences and humanities with a strong focus on European studies and policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maastricht Centre for European Law
Target entity description: The Maastricht Centre for European Law is a research institute at Maastricht University specializing in the study and development of European Union law and integration.
  • A. Centre for European Legal Studies
    The Centre for European Legal Studies is a research institute at the University of Cambridge’s Faculty of Law dedicated to the study and analysis of European law and legal integration.
  • B. Maastricht University
    Maastricht University is a public research university in the Dutch city of Maastricht, known for its international orientation and problem-based learning approach.
  • C. College of Europe
    The College of Europe is a prestigious postgraduate institute of European studies known for training future leaders and officials of European institutions.
  • D. Centre for Comparative and Transnational Law
    The Centre for Comparative and Transnational Law is a research hub at The Chinese University of Hong Kong’s Faculty of Law that focuses on cross-border, comparative, and international legal studies.
  • E. European University Institute
    The European University Institute is an international postgraduate and post-doctoral teaching and research institution in Florence, Italy, specializing in social sciences and humanities with a strong focus on European studies and policy.
  • F. None of above. chosen

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.