Triple

T10024327
Position Surface form Disambiguated ID Type / Status
Subject WBC Program E200687 entity
Predicate administeredBy P86 FINISHED
Object SBA E7603 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: SBA | Statement: [WBC Program, administeredBy, SBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBA
Context triple: [WBC Program, administeredBy, SBA]
  • A. SBA
    The Sovereign Base Areas are two British Overseas Territories on the island of Cyprus that serve as strategic military bases for the United Kingdom.
  • B. SBA
    SBA is the three-letter IATA airport code for Santa Barbara Municipal Airport, serving the Santa Barbara, California area.
  • C. U.S. Small Business Administration chosen
    The U.S. Small Business Administration is a U.S. government agency that supports and promotes small businesses through loans, counseling, contracts, and innovation-focused programs.
  • D. SABE
    SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
  • E. SBA Mentor-Protégé Program
    The SBA Mentor-Protégé Program is a U.S. Small Business Administration initiative that pairs small businesses with more experienced companies to provide guidance, resources, and contracting opportunities that help them grow and compete for federal contracts.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7d9c9c81909a0a0917deed0973 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26abb0ab08190b5bcf101c5680f3c completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.