Triple

T30361607
Position Surface form Disambiguated ID Type / Status
Subject Barnaul Airport E772300 entity
Predicate servesInternationalDestinationsType P112670 FINISHED
Object limited international routes 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: limited international routes | Statement: [Barnaul Airport, servesInternationalDestinationsType, limited international routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesInternationalDestinationsType
Context triple: [Barnaul Airport, servesInternationalDestinationsType, limited international routes]
  • A. hasInternationalDestinations
    Indicates that an entity offers, includes, or is connected to destinations located in foreign countries.
  • B. hasInternationalService
    Indicates that an entity provides or is connected to transportation or communication services that operate across national borders.
  • C. hasInternationalDestinationType chosen
    Indicates that something is associated with a type or category of international destination.
  • D. destinationCountryServed
    Indicates that a given entity (such as a service, route, or provider) serves or operates to a specified destination country.
  • E. servedDomesticDestination
    Indicates that a transportation service (such as an airline or train operator) provided service to a destination located within the same country.
  • 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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe7bfc94bc81909eeec946e8c1c450 completed May 9, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69fe7b74a1188190886f128e07f712da completed May 9, 2026, 12:10 a.m.
Created at: April 29, 2026, 7:58 p.m.