Triple

T14758692
Position Surface form Disambiguated ID Type / Status
Subject Rechnoy Vokzal E346797 entity
Predicate servesDirection P12959 FINISHED
Object Khimki area E52717 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: Khimki area | Statement: [Rechnoy Vokzal, servesDirection, Khimki area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khimki area
Context triple: [Rechnoy Vokzal, servesDirection, Khimki area]
  • A. Khimki chosen
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • B. Khimki Urban Okrug
    Khimki Urban Okrug is a municipal formation in Moscow Oblast, Russia, encompassing the city of Khimki and its surrounding territories as a single urban administrative unit.
  • 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. Vorobyovy Gory area
    Vorobyovy Gory area is a scenic Moscow locality on the high right bank of the Moskva River, known for its panoramic city views, parkland, and proximity to Moscow State University.
  • E. Cherkizovo area
    Cherkizovo area is a district in Moscow, Russia, known for its residential neighborhoods and proximity to the Cherkizovskaya metro station.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.