Triple

T15647336
Position Surface form Disambiguated ID Type / Status
Subject სამხრეთ კავკასია E376214 entity
Predicate strategicFor P1887 FINISHED
Object თურქეთი E1845 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: თურქეთი | Statement: [სამხრეთ კავკასია, strategicFor, თურქეთი]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: თურქეთი
Context triple: [სამხრეთ კავკასია, strategicFor, თურქეთი]
  • A. Turki
    Turki is a historical Turkic language associated with Central Asian and Mughal courts, used as a literary and administrative tongue across various Turkic-speaking regions.
  • B. Turkey chosen
    Turkey is a transcontinental nation bridging Europe and Asia, known for its strategic geopolitical position, rich Ottoman and Anatolian heritage, and role as a key regional power and NATO member.
  • C. Turkey
    Turkey Stearnes was a Hall of Fame Negro Leagues baseball outfielder renowned for his powerful hitting and all-around excellence in the early 20th century.
  • D. Tureck
    Tureck is a surname most notably associated with Rosalyn Tureck, the renowned American pianist and harpsichordist celebrated for her interpretations of J.S. Bach.
  • E. Tursko
    Tursko is a historical settlement known primarily as the site of the medieval Sack of Tursko.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed4d9f88190b7e24bf84c5a916f completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:15 a.m.