Triple

T2081734
Position Surface form Disambiguated ID Type / Status
Subject Bank Negara Malaysia E45258 entity
Predicate shortName P43 FINISHED
Object BNM
BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
 E231019 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: BNM | Statement: [Bank Negara Malaysia, shortName, BNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BNM
Context triple: [Bank Negara Malaysia, shortName, BNM]
  • A. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • B. BRI
    BRI is a global infrastructure and economic development strategy launched by China to enhance trade and connectivity across Asia, Europe, Africa, and beyond.
  • C. Orlandi Valuta
    Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
  • D. NBRB
    NBRB is the central bank of Belarus, responsible for the country’s monetary policy, currency issuance, and financial system regulation.
  • E. Magyar Nemzeti Bank
    Magyar Nemzeti Bank is the central bank of Hungary, responsible for monetary policy, financial stability, and issuing the national currency.
  • 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: BNM
Triple: [Bank Negara Malaysia, shortName, BNM]
Generated description
BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BNM
Target entity description: BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • A. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • B. BRI
    BRI is a global infrastructure and economic development strategy launched by China to enhance trade and connectivity across Asia, Europe, Africa, and beyond.
  • C. Orlandi Valuta
    Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
  • D. NBRB
    NBRB is the central bank of Belarus, responsible for the country’s monetary policy, currency issuance, and financial system regulation.
  • E. Magyar Nemzeti Bank
    Magyar Nemzeti Bank is the central bank of Hungary, responsible for monetary policy, financial stability, and issuing the national currency.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba35c2588190933dba882f52dd17 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b37548819090da80c034a0295e completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2819ec2481908652e9165d1a6636 completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.