Triple

T6011968
Position Surface form Disambiguated ID Type / Status
Subject Seini E133855 entity
Predicate currencyUsed P188 FINISHED
Object Romanian leu E48641 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: Romanian leu | Statement: [Seini, currencyUsed, Romanian leu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romanian leu
Context triple: [Seini, currencyUsed, Romanian leu]
  • A. Romanian leu chosen
    The Romanian leu is the official national currency of Romania, subdivided into 100 bani and issued by the National Bank of Romania.
  • B. Moldovan leu
    The Moldovan leu is the official monetary unit of Moldova, used for everyday transactions and financial operations within the country.
  • 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. 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.
  • E. Hungarian pengő
    The Hungarian pengő was the national currency of Hungary from 1927 until its replacement after World War II, notorious for experiencing one of the worst hyperinflation episodes in history.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f5159bc8190a988293bbbb99d24 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a17bc88190b710a1858120a32d completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.