Triple

T698778
Position Surface form Disambiguated ID Type / Status
Subject Napoleonic Italian lira E13951 entity
Predicate modeledOn P7125 FINISHED
Object French franc E12922 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: French franc | Statement: [Napoleonic Italian lira, modeledOn, French franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French franc
Context triple: [Napoleonic Italian lira, modeledOn, French franc]
  • A. French franc (Latin Monetary Union) chosen
    The French franc of the Latin Monetary Union was a 19th–20th century gold and silver-based currency standard that served as the reference unit for several European currencies, including the Italian lira.
  • B. Belgian franc (Latin Monetary Union)
    The Belgian franc (Latin Monetary Union) was Belgium’s national currency aligned with the bimetallic standards and harmonized coinage system of the 19th–20th century Latin Monetary Union.
  • C. Swiss franc
    The Swiss franc is the official currency of Switzerland and Liechtenstein, known for its stability and status as a major global reserve currency.
  • D. Tunisian franc
    The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
  • E. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0dd4afc81909e4e869356006f33 completed March 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666acf1081908325ae2ba74b6bae completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:36 p.m.