Triple

T2719858
Position Surface form Disambiguated ID Type / Status
Subject State Duma Building E60056 entity
Predicate locatedIn P40 FINISHED
Object central Moscow E42064 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: central Moscow | Statement: [State Duma Building, locatedIn, central Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Moscow
Context triple: [State Duma Building, locatedIn, central Moscow]
  • A. eastern Moscow
    Eastern Moscow is a broad area of Russia’s capital city encompassing predominantly residential and industrial districts located to the east of the city center.
  • B. Moscow Central Diameters
    Moscow Central Diameters is a system of suburban commuter rail lines in Moscow and the surrounding region that operates with metro-like frequency and integration into the city’s public transit network.
  • C. Central Administrative Okrug chosen
    The Central Administrative Okrug is a key central district of Moscow that encompasses the city’s historic core, major government institutions, and many of its cultural and business centers.
  • D. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab06d388190acf690787fe58ab5 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68ebd0081908bb360872d559e1f completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.