Triple

T15767967
Position Surface form Disambiguated ID Type / Status
Subject France and Germany E382273 entity
Predicate currencyUsedByBoth P188 FINISHED
Object euro E416311 NE FINISHED

How this triple was built (3 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: [France and Germany, currencyUsedByBoth, euro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: euro
Context triple: [France and Germany, currencyUsedByBoth, euro]
  • A. euro chosen
    The euro is the official common currency used by most countries in the European Union and one of the world's major reserve and trading currencies.
  • B. 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.
  • C. EURO
    EURO is the commonly used short name for the UEFA European Championship, the premier international football tournament for national teams in Europe.
  • D. EURO
    EURO is the commonly used abbreviation for the World Health Organization’s Regional Office for Europe, which oversees public health initiatives across the European region.
  • E. €STR
    €STR is the euro short-term rate, a key overnight benchmark interest rate for the euro area used in financial markets and contracts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currencyUsedByBoth
Context triple: [France and Germany, currencyUsedByBoth, euro]
  • A. currencyUsedFor
    Indicates that a particular currency is used as the medium of exchange or legal tender for a given entity, such as a country, region, or organization.
  • B. usesCurrency chosen
    Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
  • C. currencyType
    Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
  • D. currency
    Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
  • E. hasCurrencyUsedInManyCountries
    Indicates that a currency is officially used as legal tender in multiple countries.
  • F. None of above.

Provenance (4 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877a67008190b05f879d05876fd3 completed May 9, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.