Triple

T1263935
Position Surface form Disambiguated ID Type / Status
Subject Euro E12559 entity
Predicate replacedCurrency P2867 FINISHED
Object Latvian lats E94905 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: Latvian lats | Statement: [Euro, replacedCurrency, Latvian lats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latvian lats
Context triple: [Euro, replacedCurrency, Latvian lats]
  • A. Latvian lats chosen
    The Latvian lats was the national currency of Latvia until it was replaced by the euro in 2014.
  • B. Belarusian ruble
    The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
  • C. Latvia
    Latvia is a Baltic nation in Northern Europe known for its historic capital Riga, diverse cultural heritage, and membership in major international organizations such as the European Union and NATO.
  • D. Ukrainian hryvnia
    The Ukrainian hryvnia is the national currency of Ukraine, introduced in 1996 to replace the karbovanets and stabilize the country’s post-Soviet economy.
  • E. Maltese lira
    The Maltese lira was the former national currency of Malta, used until it was replaced by the euro in 2008.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc8d6908190a5b2cf1051cc6d5e completed March 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9984c21c8190a1cec6c9d2df217a completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.