Triple

T9506202
Position Surface form Disambiguated ID Type / Status
Subject Republic of Georgia E229274 entity
Predicate currency P245 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: [Republic of Georgia, currency, Georgian lari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgian lari
Context triple: [Republic of Georgia, currency, 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. Transcaucasian ruble
    The Transcaucasian ruble was the short-lived monetary unit used by the Transcaucasian Democratic Federative Republic in the aftermath of the Russian Empire’s collapse.
  • D. Azerbaijani manat
    The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
  • E. Moldovan leu
    The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a1de2d88190a6a10379d2297510 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.