Triple

T1259269
Position Surface form Disambiguated ID Type / Status
Subject Kura River E12460 entity
Predicate languageVariantName P20733 FINISHED
Object Kura (Turkish) E82236 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: Kura (Turkish) | Statement: [Kura River, languageVariantName, Kura (Turkish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kura (Turkish)
Context triple: [Kura River, languageVariantName, Kura (Turkish)]
  • A. Kür chosen
    Kür is the Azerbaijani name for the Kura River, a major waterway flowing through Turkey, Georgia, and Azerbaijan into the Caspian Sea.
  • B. Konyaaltı
    Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
  • C. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • D. Cumalıkızık
    Cumalıkızık is a well-preserved historic Ottoman village near Bursa in Turkey, renowned for its traditional timber-and-stone houses and cobbled streets.
  • E. Karabi-Yayla
    Karabi-Yayla is a high limestone plateau in the Crimean Mountains known for its extensive karst landscapes, caves, and scenic alpine meadows.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9982a1588190999045eaae01e559 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.