Triple

T1946871
Position Surface form Disambiguated ID Type / Status
Subject Sheremetyevo International Airport E42072 entity
Predicate isLargestAirportByPassengerTrafficIn P25901 FINISHED
Object Russia (in several years of the 2010s) LITERAL 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: Russia (in several years of the 2010s) | Statement: [Sheremetyevo International Airport, isLargestAirportByPassengerTrafficIn, Russia (in several years of the 2010s)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLargestAirportByPassengerTrafficIn
Context triple: [Sheremetyevo International Airport, isLargestAirportByPassengerTrafficIn, Russia (in several years of the 2010s)]
  • A. largestAirport
    Indicates that one airport is the largest (typically by area, traffic, or capacity) among a specified set or within a given region.
  • B. busiestAirportIn chosen
    Indicates that the subject location contains or is associated with the airport that has the highest level of traffic or activity within that location.
  • C. oneOfBusiestAirportsIn
    Indicates that an airport is among the busiest airports within a specified location or region.
  • D. hasInternationalAirport
    Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
  • E. hubAirport
    Indicates that an airport serves as a primary hub or central operating base for a particular airline or carrier.
  • F. None of above.

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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff25a588190bb4cbc8df9fc6d64 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.