Triple

T473881
Position Surface form Disambiguated ID Type / Status
Subject Vnukovo International Airport E9017 entity
Predicate connectedBy P37 FINISHED
Object Aeroexpress train E40632 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: Aeroexpress train | Statement: [Vnukovo International Airport, connectedBy, Aeroexpress train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aeroexpress train
Context triple: [Vnukovo International Airport, connectedBy, Aeroexpress train]
  • A. Aeroexpress train chosen
    The Aeroexpress train is a dedicated high-speed rail service that connects central Moscow with major airports, including Domodedovo International Airport.
  • B. Moscow Monorail
    Moscow Monorail is an elevated urban transit line in Moscow that operates with monorail technology and complements the city’s metro system.
  • C. Bolshaya Koltsevaya Line
    The Bolshaya Koltsevaya Line is a major circular line of the Moscow Metro designed to significantly expand capacity and improve connectivity across the city’s rapid transit network.
  • D. E train
    The E train is a New York City Subway service that runs primarily along the IND Eighth Avenue Line, providing rapid transit between Queens and Manhattan.
  • E. AeroTrain
    AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0208c788190a96cdabcf593fda7 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a462fd1768819098ab8e2d7aff050e completed March 1, 2026, 4:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.