Triple

T20885612
Position Surface form Disambiguated ID Type / Status
Subject Bronx Community College E514271 entity
Predicate abbreviation P43 FINISHED
Object BCC NE NERFINISHED

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: BCC | Statement: [Bronx Community College, abbreviation, BCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCC
Context triple: [Bronx Community College, abbreviation, BCC]
  • A. BCC
    BCC is the National Rail station code assigned to Beccles railway station in Suffolk, England.
  • B. BCC chosen
    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.
  • C. BCC
    BCC is a well-regarded public high school located in Bethesda, Maryland, known for its strong academics and diverse student body.
  • D. BCC
    BCC is the acronym for the Central Bank of the Congo, the institution responsible for issuing currency and overseeing monetary policy in the Democratic Republic of the Congo.
  • E. BCC
    BCC (BPF Compiler Collection) is a toolkit and set of libraries for writing, compiling, and running eBPF programs from user space, commonly used for performance analysis, observability, and tracing on Linux systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67c9d1c81908031eb77c124f119 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.