Triple

T8717652
Position Surface form Disambiguated ID Type / Status
Subject United Nations Statistics Division E206935 entity
Predicate officialLanguage P236 FINISHED
Object Russian E715820 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: [United Nations Statistics Division, officialLanguage, Russian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian
Context triple: [United Nations Statistics Division, officialLanguage, Russian]
  • A. Russian chosen
    Russian is an East Slavic language that serves as the official language of Russia and a major lingua franca across much of Eastern Europe and Central Asia.
  • B. Russo
    Russo is an Italian surname commonly used as a variant of Rossi, often associated with people of Italian heritage.
  • C. Rus
    Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
  • D. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • E. Russi
    Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cdac6988190b9f9cc1f350aae53 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28df657881908c1fc67c2c777cea completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.