Triple

T3305192
Position Surface form Disambiguated ID Type / Status
Subject Armenian dram E69430 entity
Predicate localName P657 FINISHED
Object Հայկական դրամ 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: Հայկական դրամ | Statement: [Armenian dram, localName, Հայկական դրամ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Հայկական դրամ
Context triple: [Armenian dram, localName, Հայկական դրամ]
  • 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. Transnistrian ruble
    The Transnistrian ruble is the de facto currency used in the breakaway region of Transnistria, which is internationally recognized as part of Moldova.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e6e55881909417d54e0d8f0a26 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.