Triple

T8745060
Position Surface form Disambiguated ID Type / Status
Subject Bethesda-Chevy Chase High School E207804 entity
Predicate abbreviation P43 FINISHED
Object BCC
BCC is a well-regarded public high school located in Bethesda, Maryland, known for its strong academics and diverse student body.
 E755034 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: BCC | Statement: [Bethesda-Chevy Chase High School, abbreviation, BCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BCC
Context triple: [Bethesda-Chevy Chase High School, abbreviation, BCC]
  • A. BCC
    BCC is a public community college in the Bronx, New York City, offering associate degree and certificate programs as part of the City University of New York (CUNY) system.
  • B. BCB
    BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
  • C. BCB
    BCB is the Bangladesh Cricket Board, the national governing body responsible for overseeing and developing cricket in Bangladesh.
  • D. BCB
    BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
  • E. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • 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: BCC
Triple: [Bethesda-Chevy Chase High School, abbreviation, BCC]
Generated description
BCC is a well-regarded public high school located in Bethesda, Maryland, known for its strong academics and diverse student body.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BCC
Target entity description: BCC is a well-regarded public high school located in Bethesda, Maryland, known for its strong academics and diverse student body.
  • A. BCC
    BCC is a public community college in the Bronx, New York City, offering associate degree and certificate programs as part of the City University of New York (CUNY) system.
  • B. BCB
    BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
  • C. BCB
    BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
  • D. BCB
    BCB is the Bangladesh Cricket Board, the national governing body responsible for overseeing and developing cricket in Bangladesh.
  • E. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d745e0081909cab216593d5c01b completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43090d388190b6256623805a6348 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf448b65a88190944689160e734866 completed April 3, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:38 p.m.