Triple

T3113568
Position Surface form Disambiguated ID Type / Status
Subject Ugandan shilling E65004 entity
Predicate monetaryPolicyManagedBy P12850 FINISHED
Object Bank of Uganda E203301 NE FINISHED

How this triple was built (2 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: Bank of Uganda | Statement: [Ugandan shilling, monetaryPolicyManagedBy, Bank of Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of Uganda
Context triple: [Ugandan shilling, monetaryPolicyManagedBy, Bank of Uganda]
  • A. Bank of Uganda chosen
    Bank of Uganda is the central bank of Uganda, responsible for issuing the national currency and formulating the country’s monetary policy.
  • B. Uganda Revenue Authority
    The Uganda Revenue Authority is the government body responsible for tax collection and customs administration in Uganda.
  • C. Central Bank of Kenya
    The Central Bank of Kenya is the country’s primary monetary authority, responsible for issuing currency, formulating and implementing monetary policy, and regulating the banking sector.
  • D. Bank of Botswana
    The Bank of Botswana is the central bank of Botswana, responsible for formulating monetary policy, issuing the national currency, and overseeing the country’s financial system.
  • E. Equator Bank
    Equator Bank was a financial institution where future Liberian president and economist Ellen Johnson Sirleaf held a professional position during her banking career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43c79448190aa72f707319e8c5e completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c9ecd481909198bb0a6c0c31e8 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.