Triple

T9252225
Position Surface form Disambiguated ID Type / Status
Subject Kommunarka station E222351 entity
Predicate fareZone P844 FINISHED
Object Moscow central tariff zone E784684 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 central tariff zone | Statement: [Kommunarka station, fareZone, Moscow central tariff zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow central tariff zone
Context triple: [Kommunarka station, fareZone, Moscow central tariff zone]
  • A. Moscow central tariff zone chosen
    The Moscow central tariff zone is the core public transport fare area in Moscow that covers the city’s main metro and urban rail network with a unified ticketing system.
  • B. 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.
  • C. Domodedovo Urban Okrug
    Domodedovo Urban Okrug is a municipal formation in Moscow Oblast, Russia, that encompasses the town of Domodedovo and its surrounding territory.
  • D. Moscow
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • E. 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.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05fb1454819098f452846ca4ca61 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d139b350e08190a68f8870433f6bae completed April 4, 2026, 4:17 p.m.
Created at: March 30, 2026, 7:31 p.m.