Triple

T10275786
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Economic Sciences, University of Warsaw E240961 entity
Predicate affiliation P10 FINISHED
Object European Research Universities network (via University of Warsaw) E4365 NE FINISHED

How this triple was built (2 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: European Research Universities network (via University of Warsaw) | Statement: [Faculty of Economic Sciences, University of Warsaw, affiliation, European Research Universities network (via University of Warsaw)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Research Universities network (via University of Warsaw)
Context triple: [Faculty of Economic Sciences, University of Warsaw, affiliation, European Research Universities network (via University of Warsaw)]
  • A. European university networks
    European university networks are collaborative alliances that connect higher education institutions across Europe to promote academic cooperation, research partnerships, mobility, and shared educational initiatives.
  • B. Guild of European Research-Intensive Universities chosen
    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.
  • C. Silesian Universities Network
    Silesian Universities Network is a regional consortium that brings together higher education institutions in the Silesia region to foster academic collaboration, research partnerships, and shared development initiatives.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d28b6cd4819084a7a5c1893b5ad8 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82188588190998e06cad1e15e68 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:37 a.m.