Triple

T18372
Position Surface form Disambiguated ID Type / Status
Subject Soviet Union E363 entity
Predicate capital P234 FINISHED
Object Moscow E1747 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: Moscow | Statement: [Soviet Union, capital, Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow
Context triple: [Soviet Union, capital, Moscow]
  • A. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • B. St. Petersburg
    St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
  • C. Kremlin
    The Kremlin is a historic fortified complex in the heart of Moscow that serves as the official residence of the Russian president and a symbol of Russian political power.
  • D. Moscow Time
    Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
  • E. Roma
    The Roma are a traditionally nomadic ethnic group originating from the Indian subcontinent and living mainly in Europe, long subjected to persecution and discrimination, including mass murder during the Holocaust.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a2465d9038819087f875a5afac9541 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552c22f88190afcc8ed45c419844 completed Feb. 28, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.