Triple

T556177
Position Surface form Disambiguated ID Type / Status
Subject University of Leipzig E11945 entity
Predicate affiliation P10 FINISHED
Object Arqus European University Alliance
Arqus European University Alliance is a transnational network of European universities collaborating to enhance higher education, research, and societal engagement across member institutions.
E69819 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: Arqus European University Alliance | Statement: [University of Leipzig, affiliation, Arqus European University Alliance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arqus European University Alliance
Context triple: [University of Leipzig, affiliation, Arqus European University Alliance]
  • A. European University Association
    The European University Association is a major representative organization for universities and national rectors’ conferences across Europe, working to influence higher education and research policy and support institutional development.
  • B. Berlin University Alliance
    The Berlin University Alliance is a strategic research and academic consortium uniting several leading Berlin universities and institutions to promote excellence, collaboration, and innovation in higher education and science.
  • C. Guild of European Research-Intensive Universities
    The Guild of European Research-Intensive Universities is a network of leading European universities dedicated to advancing high-quality research, innovation, and influence on European higher education policy.
  • D. European Academy of Sciences and Arts
    The European Academy of Sciences and Arts is a transnational, interdisciplinary learned society that brings together leading scholars, scientists, artists, and public figures from across Europe to promote scientific and cultural exchange and address societal challenges.
  • E. Sorbonne Alliance
    Sorbonne Alliance is a strategic partnership of leading French higher education and research institutions centered around Sorbonne University to foster academic collaboration and international visibility.
  • 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: Arqus European University Alliance
Triple: [University of Leipzig, affiliation, Arqus European University Alliance]
Generated description
Arqus European University Alliance is a transnational network of European universities collaborating to enhance higher education, research, and societal engagement across member institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arqus European University Alliance
Target entity description: Arqus European University Alliance is a transnational network of European universities collaborating to enhance higher education, research, and societal engagement across member institutions.
  • A. European University Association
    The European University Association is a major representative organization for universities and national rectors’ conferences across Europe, working to influence higher education and research policy and support institutional development.
  • B. Berlin University Alliance
    The Berlin University Alliance is a strategic research and academic consortium uniting several leading Berlin universities and institutions to promote excellence, collaboration, and innovation in higher education and science.
  • C. Guild of European Research-Intensive Universities
    The Guild of European Research-Intensive Universities is a network of leading European universities dedicated to advancing high-quality research, innovation, and influence on European higher education policy.
  • D. European Academy of Sciences and Arts
    The European Academy of Sciences and Arts is a transnational, interdisciplinary learned society that brings together leading scholars, scientists, artists, and public figures from across Europe to promote scientific and cultural exchange and address societal challenges.
  • E. Sorbonne Alliance
    Sorbonne Alliance is a strategic partnership of leading French higher education and research institutions centered around Sorbonne University to foster academic collaboration and international visibility.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991ef9b0819092ec0407270373f4 completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e644f41c819099743a6c4f2815e4 completed March 2, 2026, 1:22 a.m.
NEDg Description generation batch_69a4e6cfdbf48190814dfb9d2bd8dbf5 completed March 2, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_69a4e79f2a8881909210998edba8a2a8 completed March 2, 2026, 1:27 a.m.
Created at: March 1, 2026, 7:32 p.m.