Triple

T11357526
Position Surface form Disambiguated ID Type / Status
Subject Leova District E268996 entity
Predicate usesCurrency P188 FINISHED
Object Moldovan leu E134771 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: Moldovan leu | Statement: [Leova District, usesCurrency, Moldovan leu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moldovan leu
Context triple: [Leova District, usesCurrency, Moldovan leu]
  • A. Moldovan leu chosen
    The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within the country.
  • B. Romanian leu
    The Romanian leu is the official national currency of Romania, subdivided into 100 bani and issued by the National Bank of Romania.
  • C. 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.
  • D. 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.
  • E. Bulgarian lev
    The Bulgarian lev is the official national currency of Bulgaria, subdivided into 100 stotinki and pegged to the euro through a currency board arrangement.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.