Triple

T20368229
Position Surface form Disambiguated ID Type / Status
Subject Simitli E496972 entity
Predicate usesCurrency P188 FINISHED
Object Bulgarian lev NE NERFINISHED

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: Bulgarian lev | Statement: [Simitli, usesCurrency, Bulgarian lev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulgarian lev
Context triple: [Simitli, usesCurrency, Bulgarian lev]
  • A. Bulgarian lev chosen
    The Bulgarian lev is the official national currency of Bulgaria, subdivided into 100 stotinki and pegged to the euro through a currency board arrangement.
  • B. Macedonian denar
    The Macedonian denar is the official fiat currency used in North Macedonia for everyday transactions and monetary policy.
  • C. Moldovan leu
    The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within the country.
  • D. Romanian leu
    The Romanian leu is the official national currency of Romania, subdivided into 100 bani and issued by the National Bank of Romania.
  • E. Serbian dinar
    The Serbian dinar is the official national currency of Serbia, used for everyday transactions and monetary policy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.