Triple

T14870335
Position Surface form Disambiguated ID Type / Status
Subject Bank of Mozambique E349725 entity
Predicate abbreviation P43 FINISHED
Object BM
BM is the commonly used abbreviation for the Bank of Mozambique, the central bank responsible for monetary policy and financial regulation in Mozambique.
 E1124454 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: BM | Statement: [Bank of Mozambique, abbreviation, BM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BM
Context triple: [Bank of Mozambique, abbreviation, BM]
  • A. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • B. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • C. BM
    BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
  • D. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • E. BM
    BM is the vehicle registration code assigned to the city of Sumy in Ukraine.
  • 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: BM
Triple: [Bank of Mozambique, abbreviation, BM]
Generated description
BM is the commonly used abbreviation for the Bank of Mozambique, the central bank responsible for monetary policy and financial regulation in Mozambique.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BM
Target entity description: BM is the commonly used abbreviation for the Bank of Mozambique, the central bank responsible for monetary policy and financial regulation in Mozambique.
  • A. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • B. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • C. BM
    BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
  • D. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • E. BM
    BM is the vehicle registration code assigned to the city of Sumy in Ukraine.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded57967748190a7c05ebb74aacb7c completed April 15, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe675dd7288190901df5f7806f9b3f completed May 8, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_69fe67f2fab881908b8be1aa344ee5b5 completed May 8, 2026, 10:47 p.m.
Created at: April 10, 2026, 1:55 a.m.