Triple

T4413428
Position Surface form Disambiguated ID Type / Status
Subject Latvian lats E94905 entity
Predicate replaced P101 FINISHED
Object Latvian rublis
The Latvian rublis was the transitional currency used in Latvia in the early 1990s between the collapse of the Soviet ruble system and the introduction of the Latvian lats.
 E436949 NE FINISHED

How this triple was built (4 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 rublis | Statement: [Latvian lats, replaced, Latvian rublis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Latvian rublis
Context triple: [Latvian lats, replaced, Latvian rublis]
  • A. Latvian lats
    The Latvian lats was the national currency of Latvia until it was replaced by the euro in 2014.
  • B. Lithuanian litas
    The Lithuanian litas was the former national currency of Lithuania, used until the country adopted the euro in 2015.
  • C. Estonian kroon
    The Estonian kroon was the former national currency of Estonia, used from 1992 until the country adopted the euro in 2011.
  • D. Belarusian ruble
    The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Latvian rublis
Triple: [Latvian lats, replaced, Latvian rublis]
Generated description
The Latvian rublis was the transitional currency used in Latvia in the early 1990s between the collapse of the Soviet ruble system and the introduction of the Latvian lats.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Latvian rublis
Target entity description: The Latvian rublis was the transitional currency used in Latvia in the early 1990s between the collapse of the Soviet ruble system and the introduction of the Latvian lats.
  • A. Latvian lats
    The Latvian lats was the national currency of Latvia until it was replaced by the euro in 2014.
  • B. Lithuanian litas
    The Lithuanian litas was the former national currency of Lithuania, used until the country adopted the euro in 2015.
  • C. Estonian kroon
    The Estonian kroon was the former national currency of Estonia, used from 1992 until the country adopted the euro in 2011.
  • D. Belarusian ruble
    The Belarusian ruble is the official currency of Belarus, introduced after the country gained independence from the Soviet Union.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:29 p.m.