Triple

T9503743
Position Surface form Disambiguated ID Type / Status
Subject Kakhovskaya E229210 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Moscow, Russia 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, Russia | Statement: [Kakhovskaya, locatedInAdministrativeTerritorialEntity, Moscow, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow, Russia
Context triple: [Kakhovskaya, locatedInAdministrativeTerritorialEntity, Moscow, Russia]
  • A. Moscow
    Moscow is a fictional character from the Spanish television series "Money Heist" (La Casa de Papel), known as a kind-hearted, blue-collar miner and the father of Denver who participates in the Royal Mint heist.
  • B. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • C. Moscow City
    Moscow City is a modern high-rise business district in western Moscow known for its cluster of skyscrapers, financial institutions, and commercial developments.
  • D. Mosca
    Mosca is the cunning and manipulative servant in Ben Jonson’s play "Volpone," known for orchestrating deceptions and driving much of the plot’s dark comedy.
  • E. Moscow city center
    Moscow city center is the historic and administrative heart of Russia’s capital, encompassing landmarks such as the Kremlin, Red Square, and major government and cultural institutions.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9840148081908df237f212b62e67 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f5cd12881909fb1524a972448ee completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 7:57 p.m.