Triple

T12354168
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian currency board E294565 entity
Predicate backsCurrency P245 FINISHED
Object Bulgarian lev E60822 NE FINISHED

How this triple was built (3 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: [Bulgarian currency board, backsCurrency, Bulgarian lev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulgarian lev
Context triple: [Bulgarian currency board, backsCurrency, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: backsCurrency
Context triple: [Bulgarian currency board, backsCurrency, Bulgarian lev]
  • A. previousCurrency
    Indicates that one currency served as the predecessor or was replaced by another currency in a monetary system or sequence.
  • B. formerCurrency
    Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
  • C. involvesCurrency
    Indicates that the relationship or action includes or pertains to the use, exchange, or specification of a particular currency.
  • D. currency chosen
    Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
  • E. usesCurrency
    Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
  • F. None of above.

Provenance (4 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b90779881909893d1e6877ce567 completed May 2, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.