Triple

T4785414
Position Surface form Disambiguated ID Type / Status
Subject NOVA School of Business and Economics E106463 entity
Predicate alternativeName P39 FINISHED
Object NOVA SBE E284849 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: NOVA SBE | Statement: [NOVA School of Business and Economics, alternativeName, NOVA SBE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOVA SBE
Context triple: [NOVA School of Business and Economics, alternativeName, NOVA SBE]
  • A. SBE chosen
    SBE is an acronym commonly used to refer to a School of Business and Economics, an academic unit focused on business, management, and economic studies.
  • B. SABE
    SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
  • C. NOVA
    NOVA is a public research university in Lisbon, Portugal, known for its multidisciplinary programs and international outlook.
  • D. NOVA
    NOVA is the commonly used abbreviation for Northern Virginia Community College, a large public community college serving the Northern Virginia region.
  • E. NEOB
    NEOB is a U.S. federal government office building in Washington, D.C., that houses various agencies and staff of the Executive Office of the President.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65b0ea408190b348d917883381de completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43dbdec88190817845e7930a18f6 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.