Triple

T1946999
Position Surface form Disambiguated ID Type / Status
Subject Terminal B (Sheremetyevo) E42076 entity
Predicate cityServedByParentAirport P4363 FINISHED
Object Moscow E1747 NE FINISHED

How this triple was built (3 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 | Statement: [Terminal B (Sheremetyevo), cityServedByParentAirport, Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow
Context triple: [Terminal B (Sheremetyevo), cityServedByParentAirport, Moscow]
  • A. Moscow
    Moscow is a fictional character from the Spanish television series "Money Heist" (La Casa de Papel), known as a kind-hearted, blue-collar miner and the father of Denver who participates in the Royal Mint heist.
  • B. Moscow chosen
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • C. Pushkino
    Pushkino is a town in Russia that serves as a suburban residential and industrial center northeast of Moscow.
  • D. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • E. Sofya
    Sofya is the Russian given name of Sophia Tolstaya, the wife and muse of novelist Leo Tolstoy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityServedByParentAirport
Context triple: [Terminal B (Sheremetyevo), cityServedByParentAirport, Moscow]
  • A. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • B. airportServed chosen
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • C. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • D. hasMajorAirport
    Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
  • E. hasRegionalAirport
    Indicates that a place or region possesses or is served by a regional airport.
  • F. None of above.

Provenance (4 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030a0d3081908641c4a40e5b7700 completed March 8, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69abaff25a588190bb4cbc8df9fc6d64 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.