Triple

T818086
Position Surface form Disambiguated ID Type / Status
Subject Lithuania E17692 entity
Predicate demonym P191 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: [Lithuania, demonym, Lithuanian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lithuanian
Context triple: [Lithuania, demonym, 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. Lithuanians
    Lithuanians are a Baltic ethnic group native to Lithuania, known for their distinct Indo-European language and cultural heritage in northeastern Europe.
  • C. Lithuania
    Lithuania is a Baltic nation in Northern Europe known for its medieval history, restored independence from the Soviet Union in 1990, and membership in both the European Union and NATO.
  • 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. Samogitia
    Samogitia is a historic ethnographic region in northwestern Lithuania known for its distinct Samogitian dialect, strong cultural identity, and late Christianization compared to the rest of Europe.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928f8a808190aaf5f2a2f3ee676f completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.