Triple

T21141217
Position Surface form Disambiguated ID Type / Status
Subject Ratmir E520931 entity
Predicate ethnicity P194 FINISHED
Object Tatar 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: Tatar | Statement: [Ratmir, ethnicity, Tatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatar
Context triple: [Ratmir, ethnicity, Tatar]
  • A. Tatar chosen
    Tatars are a Turkic ethnic group native to Russia and surrounding regions, known for their distinct language, culture, and historical role in the Volga and Crimean areas.
  • B. Tatar language
    The Tatar language is a Turkic language spoken primarily by Tatars in Russia and neighboring regions, with official status in Tatarstan and a literary tradition spanning several centuries.
  • C. Bashkir
    Bashkir is a Turkic language spoken primarily by the Bashkir people in Russia’s Republic of Bashkortostan and surrounding regions.
  • D. Siberian Tatar language
    The Siberian Tatar language is a Turkic language spoken by Siberian Tatars in western Siberia, characterized by features of the Kipchak branch and influences from neighboring Siberian peoples and Russian.
  • E. Tatarbunary
    Tatarbunary is a small town in the historical Budjak region of southwestern Ukraine, known for its agricultural surroundings and multiethnic local culture.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.