Triple

T175739
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Economic Analysis E3570 entity
Predicate abbreviation P43 FINISHED
Object BEA E3570 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: BEA | Statement: [Bureau of Economic Analysis, abbreviation, BEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEA
Context triple: [Bureau of Economic Analysis, abbreviation, BEA]
  • A. BEA chosen
    BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
  • B. BEA Systems
    BEA Systems was a software company best known for its enterprise middleware and application server products that played a major role in early Java-based web and enterprise computing.
  • C. BEA Program
    The BEA Program is a U.S. Treasury initiative that provides financial incentives to banks to increase lending, investment, and financial services in economically distressed communities.
  • D. Beacon
    Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
  • E. PeopleSoft
    PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e497788190aeb61d981efb4d1d completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2f0b4f1708190b766e1d9b43038ed completed Feb. 28, 2026, 1:42 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.