Triple

T8613207
Position Surface form Disambiguated ID Type / Status
Subject Bard College Berlin E203965 entity
Predicate shortName P43 FINISHED
Object BCB
BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
 E745419 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: BCB | Statement: [Bard College Berlin, shortName, BCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BCB
Context triple: [Bard College Berlin, shortName, BCB]
  • A. 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.
  • B. BCB
    BCB is the Bangladesh Cricket Board, the national governing body responsible for overseeing and developing cricket in Bangladesh.
  • C. CBB
    CBB is the Brazilian Basketball Confederation, the national governing body responsible for organizing and overseeing basketball activities and competitions in Brazil.
  • D. CBB
    CBB is the Central Bank of Bahrain, the primary authority responsible for regulating and supervising the kingdom’s financial sector and monetary policy.
  • E. CBb
    CBb is the Dutch Trade and Industry Appeals Tribunal, a specialized administrative court in the Netherlands that handles disputes in economic and regulatory matters.
  • 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: BCB
Triple: [Bard College Berlin, shortName, BCB]
Generated description
BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BCB
Target entity description: BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
  • A. 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.
  • B. BCB
    BCB is the Bangladesh Cricket Board, the national governing body responsible for overseeing and developing cricket in Bangladesh.
  • C. CBB
    CBB is the Brazilian Basketball Confederation, the national governing body responsible for organizing and overseeing basketball activities and competitions in Brazil.
  • D. CBB
    CBB is the Central Bank of Bahrain, the primary authority responsible for regulating and supervising the kingdom’s financial sector and monetary policy.
  • E. CBb
    CBb is the Dutch Trade and Industry Appeals Tribunal, a specialized administrative court in the Netherlands that handles disputes in economic and regulatory matters.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4700b9e08190b03f05f4757cfc47 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.