Triple

T7325547
Position Surface form Disambiguated ID Type / Status
Subject Latvian E168863 entity
Predicate hasDialects P4251 FINISHED
Object High Latvian E616930 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: High Latvian | Statement: [Latvian, hasDialects, High Latvian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Latvian
Context triple: [Latvian, hasDialects, High Latvian]
  • A. Latgalian chosen
    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.
  • B. Latvian
    Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
  • C. Baltic German
    Baltic Germans were a historically influential ethnic German minority living in the Baltic region (primarily present-day Estonia and Latvia), known for their prominent roles in local nobility, administration, and culture within the Russian Empire.
  • D. Livonian language
    The Livonian language is an almost extinct Uralic language historically spoken by the Livonian people along the northern coast of Latvia.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a612c08190b7a3fefa811bbcec completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0a1200819089fe3e18493d8bee completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:03 p.m.