Triple

T6670155
Position Surface form Disambiguated ID Type / Status
Subject Bank of the Republic of Haiti E151705 entity
Predicate abbreviation P43 FINISHED
Object BRH
BRH is the central bank of Haiti, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
 E610270 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: BRH | Statement: [Bank of the Republic of Haiti, abbreviation, BRH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BRH
Context triple: [Bank of the Republic of Haiti, abbreviation, BRH]
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • C. BH
    BH is a German vehicle registration code formerly used for the district of Ortenaukreis in the state of Baden-Württemberg.
  • D. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • E. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • 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: BRH
Triple: [Bank of the Republic of Haiti, abbreviation, BRH]
Generated description
BRH is the central bank of Haiti, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BRH
Target entity description: BRH is the central bank of Haiti, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • A. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • B. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • C. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • D. BH
    BH is a German vehicle registration code formerly used for the district of Ortenaukreis in the state of Baden-Württemberg.
  • E. BHR
    BHR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Kingdom of Bahrain.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c9163c8190ad959172a8458619 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef12fcfc819086b37dc9b9929663 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a498cc8190a0494082b91b012d completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f136ac648190b94a7cda43139fd0 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:02 p.m.