Triple

T2560742
Position Surface form Disambiguated ID Type / Status
Subject Austro-Hungarian krone E57236 entity
Predicate replacedBy P101 FINISHED
Object Hungarian korona E162308 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: Hungarian korona | Statement: [Austro-Hungarian krone, replacedBy, Hungarian korona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian korona
Context triple: [Austro-Hungarian krone, replacedBy, Hungarian korona]
  • A. Hungarian pengő chosen
    The Hungarian pengő was the national currency of Hungary from 1927 until its replacement after World War II, notorious for experiencing one of the worst hyperinflation episodes in history.
  • B. Holy Crown of Hungary
    The Holy Crown of Hungary is the historic coronation crown and national symbol of the Hungarian monarchy, traditionally associated with Saint Stephen I and regarded as a sacred emblem of Hungarian statehood.
  • C. Aegon Hungary
    Aegon Hungary is the Hungarian insurance and financial services subsidiary of the multinational Aegon Group.
  • D. Hungarian forint
    The Hungarian forint is the official national currency of Hungary, used for everyday transactions and monetary policy.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.