Triple

T13805348
Position Surface form Disambiguated ID Type / Status
Subject BOFMCAM2 E331745 entity
Predicate hasBankCode P111538 FINISHED
Object BOFM
BOFM is the bank code identifying the Bank of Mauritius, the central bank of the Republic of Mauritius.
E1061893 NE FINISHED

How this triple was built (5 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: BOFM | Statement: [BOFMCAM2, hasBankCode, BOFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOFM
Context triple: [BOFMCAM2, hasBankCode, BOFM]
  • A. BFI
    BFI is a University of Chicago research institute that advances economic scholarship and policy through data-driven, market-oriented research.
  • B. BFI
    BFI is the commonly used abbreviation for Banco Financiero Internacional, a financial institution operating in international banking and related services.
  • C. BFI
    BFI is the IATA airport code for King County International Airport, commonly known as Boeing Field, a major general aviation and cargo airport serving the Seattle, Washington area.
  • D. BFC
    BFC is the abbreviation for British Forces Cyprus, the United Kingdom’s military presence and administrative structure on the island of Cyprus.
  • E. BFC
    BFC is the common abbreviation for Brentford Football Club, a professional English football team based in West London.
  • 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: BOFM
Triple: [BOFMCAM2, hasBankCode, BOFM]
Generated description
BOFM is the bank code identifying the Bank of Mauritius, the central bank of the Republic of Mauritius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOFM
Target entity description: BOFM is the bank code identifying the Bank of Mauritius, the central bank of the Republic of Mauritius.
  • A. BFI
    BFI is a University of Chicago research institute that advances economic scholarship and policy through data-driven, market-oriented research.
  • B. BFI
    BFI is the commonly used abbreviation for Banco Financiero Internacional, a financial institution operating in international banking and related services.
  • C. BFI
    BFI is the IATA airport code for King County International Airport, commonly known as Boeing Field, a major general aviation and cargo airport serving the Seattle, Washington area.
  • D. BFC
    BFC is the abbreviation for British Forces Cyprus, the United Kingdom’s military presence and administrative structure on the island of Cyprus.
  • E. BFC
    BFC is the common abbreviation for Brentford Football Club, a professional English football team based in West London.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBankCode
Context triple: [BOFMCAM2, hasBankCode, BOFM]
  • A. hasBank
    Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
  • B. hasBankType
    Indicates that an entity is associated with or classified by a particular type or category of bank.
  • C. hasBanking
    Indicates that one entity provides or is associated with banking services or facilities for another entity.
  • D. connectsBank
    Indicates a relationship where one entity serves to link or provide access between another entity and a bank or banking service.
  • E. hasFinancialInstitution
    Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
  • F. None of above. chosen

Provenance (7 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026d98108190acf366a36d97bf92 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08db39c8190a76637b36b77d643 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b18bbe688190855a26b8f2b4bcc0 completed May 3, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7b260fc6c8190a573cc525388878e completed May 3, 2026, 8:38 p.m.
PD Predicate disambiguation batch_69dbc862e9608190bd8a3d883959b7e4 completed April 12, 2026, 4:29 p.m.
PDg Predicate description generation batch_69dcad0eea9881908f71e1eed9a2446b completed April 13, 2026, 8:45 a.m.
Created at: April 9, 2026, 10:12 p.m.