Triple

T668524
Position Surface form Disambiguated ID Type / Status
Subject ITL E12919 entity
Predicate replaced P101 FINISHED
Object Parma 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: Parma lira | Statement: [ITL, replaced, Parma lira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parma lira
Context triple: [ITL, replaced, Parma 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. 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.
  • C. Tuscan florin
    The Tuscan florin was a historical gold coin used in Tuscany, influential in medieval European trade and finance.
  • D. Aragonese florin
    The Aragonese florin was a medieval gold coin used in the Crown of Aragon, modeled on the Florentine florin and important in Mediterranean trade.
  • E. Emilian-Romagnol
    Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff921288190a2e5edb201ba69ee completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a4f8f0081909686a76b4fddda60 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:36 p.m.