Triple

T3113529
Position Surface form Disambiguated ID Type / Status
Subject Ugandan shilling E65004 entity
Predicate ISO4217Code P189 FINISHED
Object UGX E65004 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: UGX | Statement: [Ugandan shilling, ISO4217Code, UGX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UGX
Context triple: [Ugandan shilling, ISO4217Code, UGX]
  • A. Ugandan shilling chosen
    The Ugandan shilling is the official monetary unit of Uganda, used for everyday transactions and financial operations throughout the country.
  • B. Tanzanian shilling
    The Tanzanian shilling is the official monetary unit of Tanzania, used for everyday transactions and issued by the Bank of Tanzania.
  • C. East African shilling
    The East African shilling is a proposed common currency intended to be used by member states of the East African Community to promote regional economic integration.
  • D. Burundian franc
    The Burundian franc is the official monetary unit of Burundi, used for all financial transactions and issued by the country's central bank.
  • E. Zimbabwean dollar
    The Zimbabwean dollar was the former national currency of Zimbabwe, notorious for its extreme hyperinflation before being abandoned in favor of foreign currencies.
  • 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_69b2039b11d4819095ee77d84d6e7b8a completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.