Triple

T1828043
Position Surface form Disambiguated ID Type / Status
Subject Government of Uganda E40696 entity
Predicate hasAgency P3933 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: [Government of Uganda, hasAgency, Bank of Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of Uganda
Context triple: [Government of Uganda, hasAgency, 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. 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.
  • D. Ugandan shilling
    The Ugandan shilling is the official monetary unit of Uganda, used for everyday transactions and financial operations throughout the country.
  • E. Central Bank of Sudan
    The Central Bank of Sudan is the country’s primary monetary authority, responsible for issuing currency, regulating the banking sector, and implementing Sudan’s monetary policy.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb01191208190a7eaf3036638ec40 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.