Triple

T8105436
Position Surface form Disambiguated ID Type / Status
Subject University of Buenos Aires E189213 entity
Predicate abbreviation P43 FINISHED
Object UBA E189213 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: UBA | Statement: [University of Buenos Aires, abbreviation, UBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBA
Context triple: [University of Buenos Aires, abbreviation, UBA]
  • A. UBA chosen
    UBA is a major public research university in Buenos Aires, Argentina, renowned as one of Latin America’s leading and most prestigious higher education institutions.
  • B. UNAF
    UNAF (Union of North African Football Federations) is the regional governing body that organizes and oversees football activities and competitions among North African national associations.
  • C. OAUFC
    OAUFC is an organization associated with Carleton University, likely connected to its academic or student community.
  • D. Basketball Africa League
    The Basketball Africa League is a professional men's basketball league in Africa featuring top club teams from across the continent, organized in partnership with the NBA and FIBA.
  • E. NBA Academy Africa
    NBA Academy Africa is an elite basketball training and development center established by the NBA to identify, train, and educate top young prospects from across the African continent.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f735c8819090d0d822644c0a51 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc941075588190a9b12e2f873ba2a5 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:31 p.m.