Triple

T22558000
Position Surface form Disambiguated ID Type / Status
Subject Switzerland and Italy E557736 entity
Predicate useDifferentCurrencies P26642 FINISHED
Object true LITERAL 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: true | Statement: [Switzerland and Italy, useDifferentCurrencies, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: useDifferentCurrencies
Context triple: [Switzerland and Italy, useDifferentCurrencies, true]
  • A. usesCurrency
    Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
  • B. usesCurrencyInitially
    Indicates that an entity originally adopts or operates with a particular currency at the start of a defined period or process.
  • C. usesSupplementaryCurrency
    Indicates that an entity employs an additional, non-primary currency alongside its main currency for transactions or value exchange.
  • D. currencyNotUnified chosen
    Indicates that the entities involved do not share a single common currency or monetary system.
  • E. involvesCurrency
    Indicates that the relationship or action includes or pertains to the use, exchange, or specification of a particular currency.
  • F. None of above.

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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69e898cb3fb48190add6ab24a2df5822 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:52 p.m.