Triple

T11156901
Position Surface form Disambiguated ID Type / Status
Subject Avtozavodskaya E263932 entity
Predicate fareZone P844 FINISHED
Object Moscow central 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 zone | Statement: [Avtozavodskaya, fareZone, Moscow central zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow central zone
Context triple: [Avtozavodskaya, fareZone, Moscow central 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. Ostankino area
    The Ostankino area is a district in Moscow known for housing major broadcasting facilities, including the Ostankino Television Center and the Ostankino Tower.
  • D. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • E. Domodedovo Urban Okrug
    Domodedovo Urban Okrug is a municipal formation in Moscow Oblast, Russia, that encompasses the town of Domodedovo and its surrounding territory.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.