Triple

T17112117
Position Surface form Disambiguated ID Type / Status
Subject Kazlų Rūda E415250 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Lithuanian E28856 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: Lithuanian | Statement: [Kazlų Rūda, hasOfficialLanguage, Lithuanian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lithuanian
Context triple: [Kazlų Rūda, hasOfficialLanguage, Lithuanian]
  • A. Lithuanian chosen
    Lithuanian is a Baltic language spoken primarily in Lithuania and known for preserving many archaic features of Proto-Indo-European.
  • B. Latuvi
    Latuvi is a small rural village in the Sierra Norte region of Oaxaca, Mexico, known for its mountainous landscapes and traditional indigenous culture.
  • C. Lithuanians
    Lithuanians are a Baltic ethnic group native to Lithuania, known for their distinct Indo-European language and cultural heritage in northeastern Europe.
  • D. 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.
  • E. Varaždin Kajkavian
    Varaždin Kajkavian is a regional variety of the Kajkavian dialect spoken in and around the city of Varaždin in northern Croatia, characterized by distinctive phonological and lexical features.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a062d7c81908fe8cdc9e4637168 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.