Triple

T17978549
Position Surface form Disambiguated ID Type / Status
Subject Cydonia E449539 entity
Predicate nativeTo P410 FINISHED
Object Turkey NE NERFINISHED

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: Turkey | Statement: [Cydonia, nativeTo, Turkey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turkey
Context triple: [Cydonia, nativeTo, Turkey]
  • A. 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.
  • B. 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.
  • C. 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.
  • 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. European Turkey
    European Turkey is the small, geographically European part of Turkey that includes the region of Eastern Thrace and contains major cities such as Istanbul and Edirne.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b201d1508190a9d6abbfd04bdcae completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.