Triple

T118355
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Mark E2391 entity
Predicate replacedBy P101 FINISHED
Object euro E12559 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: euro | Statement: [Deutsche Mark, replacedBy, euro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: euro
Context triple: [Deutsche Mark, replacedBy, euro]
  • A. 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.
  • B. Euro chosen
    The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
  • 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. Eurozone
    The Eurozone is the group of European Union countries that have adopted the euro as their common official currency and share a unified monetary policy.
  • E. Italian lira
    The Italian lira was Italy’s pre-euro national currency, used for centuries until it was replaced by the euro in 2002.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a257145e0c81908a00c6c4a17b53f0 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d73164e48190b993fe55aaba30be completed Feb. 28, 2026, 11:53 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.