Triple

T1263923
Position Surface form Disambiguated ID Type / Status
Subject Euro E12559 entity
Predicate replacedCurrency P2867 FINISHED
Object Italian lira E2393 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: Italian lira | Statement: [Euro, replacedCurrency, Italian lira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italian lira
Context triple: [Euro, replacedCurrency, Italian lira]
  • A. Italian lira chosen
    The Italian lira was Italy’s pre-euro national currency, used for centuries until it was replaced by the euro in 2002.
  • B. Venetian lira (old)
    The Venetian lira (old) was the historical currency of the Republic of Venice, used for centuries in trade and finance until the fall of the republic and subsequent monetary reforms.
  • C. Napoleonic Italian lira
    The Napoleonic Italian lira was the currency introduced in parts of Italy under Napoleon’s rule in the early 19th century, modeled on the French franc and later replaced by the unified Kingdom of Italy’s lira.
  • D. Modenese lira
    The Modenese lira was the historical currency used in the Duchy of Modena in northern Italy before its integration into the modern Italian monetary system.
  • E. Tuscan florin
    The Tuscan florin was a historical gold coin used in Tuscany, influential in medieval European trade and finance.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc8d6908190a5b2cf1051cc6d5e completed March 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9984c21c8190a1cec6c9d2df217a completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.