Triple

T1589347
Position Surface form Disambiguated ID Type / Status
Subject Edvard E34142 entity
Predicate hasLanguageUsage P207 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: [Edvard, hasLanguageUsage, Latvian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latvian
Context triple: [Edvard, hasLanguageUsage, Latvian]
  • A. Latvian chosen
    Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
  • B. Lithuanian
    Lithuanian is a Baltic language spoken primarily in Lithuania and known for preserving many archaic features of Proto-Indo-European.
  • C. Livonian language
    The Livonian language is an almost extinct Uralic language historically spoken by the Livonian people along the northern coast of Latvia.
  • D. Estonian language
    The Estonian language is a Finno-Ugric language spoken primarily in Estonia, closely related to Finnish and known for its complex grammar and rich vowel system.
  • E. Latgale
    Latgale is a culturally distinct historical region in eastern Latvia, known for its lakes, rolling landscapes, and strong Latgalian linguistic and Catholic traditions.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090e251c81909ebb21a6b6262303 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad469eaf588190ac6db1c8fb7fa04e completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.