Triple

T3363027
Position Surface form Disambiguated ID Type / Status
Subject Grand Duchy of Moscow E70767 entity
Predicate currency P245 FINISHED
Object ruble E6794 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: ruble | Statement: [Grand Duchy of Moscow, currency, ruble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ruble
Context triple: [Grand Duchy of Moscow, currency, ruble]
  • A. Russian ruble
    The Russian ruble is the official monetary unit of the Russian Federation, used for everyday transactions, government finances, and international trade involving Russia.
  • B. Soviet ruble
    The Soviet ruble was the official monetary unit of the USSR, used throughout the Soviet planned economy until the country's dissolution in 1991.
  • C. Russian ruble (Empire) chosen
    The Russian ruble (Empire) was the currency of the Russian Empire, used from the early modern period until the 1917 revolution and the subsequent establishment of Soviet monetary systems.
  • D. Belarusian ruble
    The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
  • E. Ukrainian hryvnia
    The Ukrainian hryvnia is the national currency of Ukraine, introduced in 1996 to replace the karbovanets and stabilize the country’s post-Soviet economy.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26a5a508190948932769de0dbb3 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32549eb9c81908c3a525da9eab0aa completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.