Triple

T947798
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Georgia E20451 entity
Predicate hasSite P1205 FINISHED
Object Vardzia E100994 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: Vardzia | Statement: [Kingdom of Georgia, hasSite, Vardzia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vardzia
Context triple: [Kingdom of Georgia, hasSite, Vardzia]
  • A. Vardzia chosen
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • B. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • C. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • D. Priebus
    Priebus is the surname of Reince Priebus, an American attorney and political operative who served as White House Chief of Staff under President Donald Trump.
  • E. Kaunas Fortress
    Kaunas Fortress is a 19th–20th century Russian Empire military fortification complex in Kaunas, Lithuania, built to defend the western borders and now partly preserved as a historical and cultural monument.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3be19448190a8863fce3d152430 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933a8649481909d07eec014c1956c completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.