Triple

T250609
Position Surface form Disambiguated ID Type / Status
Subject Thai baht E5137 entity
Predicate frequentlyTradedAgainst P8579 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: [Thai baht, frequentlyTradedAgainst, euro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: euro
Context triple: [Thai baht, frequentlyTradedAgainst, euro]
  • A. EUR
    EUR is the commonly used abbreviation for the Bureau of European and Eurasian Affairs within the U.S. Department of State, which oversees American foreign policy and diplomatic relations in Europe and Eurasia.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c592cc8190bc642fcd248a1f1b completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37373426881909ce8766ad9c5778c completed Feb. 28, 2026, 11 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.