Triple

T2163784
Position Surface form Disambiguated ID Type / Status
Subject Banco de la República E46860 entity
Predicate abbreviation P43 FINISHED
Object BR
BR is the commonly used abbreviation for Banco de la República, Colombia’s central bank responsible for monetary policy and currency issuance.
 E239043 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: BR | Statement: [Banco de la República, abbreviation, BR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BR
Context triple: [Banco de la República, abbreviation, BR]
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • C. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • D. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • E. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • 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: BR
Triple: [Banco de la República, abbreviation, BR]
Generated description
BR is the commonly used abbreviation for Banco de la República, Colombia’s central bank responsible for monetary policy and currency issuance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BR
Target entity description: BR is the commonly used abbreviation for Banco de la República, Colombia’s central bank responsible for monetary policy and currency issuance.
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. BR
    BR is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Brazil in international standards and systems.
  • C. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • D. BUR
    BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
  • E. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8d105c819098371c35c88873dc completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58ee18ac81909f02e2c87000365b completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae597198b88190b0253aa121ed35e1 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a02404c819088acf7c592cb2cae completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.