Triple

T16702915
Position Surface form Disambiguated ID Type / Status
Subject Common Voice dataset E405893 entity
Predicate hasLanguage P15 FINISHED
Object Latvian E168863 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 | Statement: [Common Voice dataset, hasLanguage, Latvian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latvian
Context triple: [Common Voice dataset, hasLanguage, Latvian]
  • A. Latvian chosen
    Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
  • B. Latgalian
    Latgalian is an Eastern Baltic language variety closely related to Latvian, traditionally spoken by the Latgalian ethnic group in the Latgale region of eastern Latvia.
  • C. Latuvi
    Latuvi is a small rural village in the Sierra Norte region of Oaxaca, Mexico, known for its mountainous landscapes and traditional indigenous culture.
  • D. Latvians
    Latvians are a Baltic ethnic group native to Latvia, known for their distinct Latvian language, rich folk traditions, and cultural heritage along the eastern coast of the Baltic Sea.
  • E. Latn
    Latn is the ISO 15924 script code representing the Latin alphabet used for writing numerous modern languages worldwide.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38333a6908190a17d2dee2ca622d6 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.