Triple

T67464
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Engraving and Printing E1344 entity
Predicate abbreviation P43 FINISHED
Object BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
 E4775 NE FINISHED

How this triple was built (4 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: BEP | Statement: [Bureau of Engraving and Printing, abbreviation, BEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BEP
Context triple: [Bureau of Engraving and Printing, abbreviation, BEP]
  • A. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • B. EOP
    EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
  • C. BEA
    BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
  • D. The Bean
    The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
  • E. BSE Global
    BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BEP
Triple: [Bureau of Engraving and Printing, abbreviation, BEP]
Generated description
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BEP
Target entity description: BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • A. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • B. EOP
    EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
  • C. BEA
    BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
  • D. The Bean
    The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
  • E. BSE Global
    BSE Global is the sports and entertainment company that owns and operates the Brooklyn Nets and related properties.
  • F. None of above. chosen

Provenance (5 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f01a2108190a494e7bfcced8290 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2554da8848190a445b503d98769aa completed Feb. 28, 2026, 2:39 a.m.
NEDg Description generation batch_69a255b409a081908871ed7fee07be29 completed Feb. 28, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69a256e8f7ec81909450c07bf7bafa0a completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.