Triple

T1241855
Position Surface form Disambiguated ID Type / Status
Subject Sciences Po E26673 entity
Predicate memberOf P10 FINISHED
Object CIVICA – The European University of Social Sciences
CIVICA – The European University of Social Sciences is a transnational alliance of leading European higher education institutions dedicated to excellence in social sciences education, research, and civic engagement.
E142338 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: CIVICA – The European University of Social Sciences | Statement: [Sciences Po, memberOf, CIVICA – The European University of Social Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIVICA – The European University of Social Sciences
Context triple: [Sciences Po, memberOf, CIVICA – The European University of Social Sciences]
  • A. CIVIS European University Alliance
    CIVIS European University Alliance is a transnational consortium of European universities collaborating to promote integrated education, research, and civic engagement across member institutions.
  • B. UNICA – Network of Universities from the Capitals of Europe
    UNICA – Network of Universities from the Capitals of Europe is an international association that brings together universities located in European capital cities to foster academic cooperation, mobility, and shared higher education initiatives.
  • C. 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.
  • D. Academia Europaea
    Academia Europaea is a pan-European, non-governmental academy that brings together leading scholars from across the sciences, humanities, and letters to promote learning, education, and research excellence in Europe.
  • E. 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.
  • 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: CIVICA – The European University of Social Sciences
Triple: [Sciences Po, memberOf, CIVICA – The European University of Social Sciences]
Generated description
CIVICA – The European University of Social Sciences is a transnational alliance of leading European higher education institutions dedicated to excellence in social sciences education, research, and civic engagement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CIVICA – The European University of Social Sciences
Target entity description: CIVICA – The European University of Social Sciences is a transnational alliance of leading European higher education institutions dedicated to excellence in social sciences education, research, and civic engagement.
  • A. CIVIS European University Alliance
    CIVIS European University Alliance is a transnational consortium of European universities collaborating to promote integrated education, research, and civic engagement across member institutions.
  • B. UNICA – Network of Universities from the Capitals of Europe
    UNICA – Network of Universities from the Capitals of Europe is an international association that brings together universities located in European capital cities to foster academic cooperation, mobility, and shared higher education initiatives.
  • C. 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.
  • D. Academia Europaea
    Academia Europaea is a pan-European, non-governmental academy that brings together leading scholars from across the sciences, humanities, and letters to promote learning, education, and research excellence in Europe.
  • E. 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.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f79afe08190802dd615f01e303d completed March 7, 2026, 8:50 p.m.
NEDg Description generation batch_69ac90277d2481908d358bf3f8fdbdca completed March 7, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69ac9080f4748190a2313bede48d3404 completed March 7, 2026, 8:54 p.m.
Created at: March 1, 2026, 7:47 p.m.