Triple

T710867
Position Surface form Disambiguated ID Type / Status
Subject Hungary–Austria border E14202 entity
Predicate currencyOnAustrianSide P2878 FINISHED
Object euro 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: euro | Statement: [Hungary–Austria border, currencyOnAustrianSide, euro]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currencyOnAustrianSide
Context triple: [Hungary–Austria border, currencyOnAustrianSide, euro]
  • A. currencyType
    Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
  • B. 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).
  • C. formerCurrency
    Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
  • D. isLegalTenderFor chosen
    Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
  • E. usesCurrency
    Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69a4a4f221b081909fbaa689fb20eb3e completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:36 p.m.