Triple

T15940385
Position Surface form Disambiguated ID Type / Status
Subject Luzhniki station E386542 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: [Luzhniki station, fareZone, Moscow central zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow central zone
Context triple: [Luzhniki station, 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. Medvedkovo
    Medvedkovo is a Moscow Metro station serving as the northeastern terminus of the Kaluzhsko–Rizhskaya Line.
  • E. Krylatskoye
    Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.