Triple

T1846702
Position Surface form Disambiguated ID Type / Status
Subject Kaspi Municipality E41298 entity
Predicate usesCurrency P188 FINISHED
Object Georgian lari E151993 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: Georgian lari | Statement: [Kaspi Municipality, usesCurrency, Georgian lari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgian lari
Context triple: [Kaspi Municipality, usesCurrency, Georgian lari]
  • A. Georgian lari chosen
    The Georgian lari is the official national currency of Georgia, introduced in 1995 to replace the kuponi and stabilize the country’s post-Soviet economy.
  • B. Armenian dram
    The Armenian dram is the official national currency of Armenia, used for everyday transactions and issued by the Central Bank of Armenia.
  • C. Azerbaijani manat
    The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
  • D. Moldovan leu
    The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within the country.
  • E. Ethiopian birr
    The Ethiopian birr is the official fiat currency of Ethiopia, issued by the National Bank of Ethiopia and used for all major economic transactions in the country.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb052e0a8819091bbc0da0e0a20fb completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c2e0a081909f521e6f73956239 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.