Triple

T1772538
Position Surface form Disambiguated ID Type / Status
Subject Republic of Artsakh E38905 entity
Predicate currencyUsed P188 FINISHED
Object Armenian dram E69430 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: Armenian dram | Statement: [Republic of Artsakh, currencyUsed, Armenian dram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armenian dram
Context triple: [Republic of Artsakh, currencyUsed, Armenian dram]
  • A. Armenian dram chosen
    The Armenian dram is the official national currency of Armenia, used for everyday transactions and issued by the Central Bank of Armenia.
  • B. Azerbaijani manat
    The Azerbaijani manat is the official fiat currency of Azerbaijan, used for everyday transactions and issued by the Central Bank of Azerbaijan.
  • C. Georgian lari
    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.
  • D. Turkish lira
    The Turkish lira is the official currency of Turkey, used for everyday transactions, banking, and pricing throughout the country.
  • E. Belarusian ruble
    The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64913ca481909bdc09f6f57b38dc completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada995dab48190b7efcf1007fc9d5f completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.