Triple

T3576308
Position Surface form Disambiguated ID Type / Status
Subject Kristalina Georgieva E75696 entity
Predicate languagesSpoken P741 FINISHED
Object Russian E3584 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: Russian | Statement: [Kristalina Georgieva, languagesSpoken, Russian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian
Context triple: [Kristalina Georgieva, languagesSpoken, Russian]
  • A. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • B. Russian language chosen
    Russian is an East Slavic language spoken primarily in Russia and neighboring countries, serving as one of the world's major languages in politics, science, and culture.
  • C. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • D. RU
    RU is the two-letter ISO 3166 country code for the Russian Federation.
  • E. Russians
    Russians are an East Slavic ethnic group primarily associated with Russia, its language, and its cultural and historical traditions.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dba238819083a1d09005c312b8 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.