Triple

T1492367
Position Surface form Disambiguated ID Type / Status
Subject Russin E29607 entity
Predicate usesCurrency P188 FINISHED
Object Swiss franc E4121 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: Swiss franc | Statement: [Russin, usesCurrency, Swiss franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss franc
Context triple: [Russin, usesCurrency, Swiss franc]
  • A. Swiss franc chosen
    The Swiss franc is the official currency of Switzerland and Liechtenstein, known for its stability and status as a major global reserve currency.
  • 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. Deutsche Mark
    The Deutsche Mark was the former official currency of West Germany and later unified Germany, renowned for its stability and strength until it was replaced by the euro.
  • D. Swissmint
    Swissmint is the official mint of Switzerland responsible for producing the country’s coins and other numismatic products.
  • E. French livre
    The French livre was the pre-franc monetary unit of France, used for centuries until it was replaced during the French Revolution and early French First Republic.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c4f0c88190a97ba4910c1a5d85 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2943545c8190a2246a41d712528b completed March 8, 2026, 7:46 a.m.
Created at: March 1, 2026, 8:12 p.m.