Triple

T19650595
Position Surface form Disambiguated ID Type / Status
Subject Pskov E471802 entity
Predicate hasTransport P1298 FINISHED
Object Pskov Airport NE NERFINISHED

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: Pskov Airport | Statement: [Pskov, hasTransport, Pskov Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pskov Airport
Context triple: [Pskov, hasTransport, Pskov Airport]
  • A. Pskov Airport chosen
    Pskov Airport is a regional airport in Pskov, Russia, providing domestic air services and connecting the city to other parts of the country.
  • B. Yaroslavl Tunoshna Airport
    Yaroslavl Tunoshna Airport is a regional airport serving the city of Yaroslavl and the surrounding Yaroslavl Oblast in Russia, handling both domestic passenger flights and cargo operations.
  • C. Ostafyevo International Airport
    Ostafyevo International Airport is a Moscow-area airport that serves both civilian and business aviation and functions as a key base for the Russian airline Gazpromavia.
  • D. Vologda Airport
    Vologda Airport is a regional civil airport in Vologda, Russia, providing air transport connections for the city and surrounding area.
  • E. Smolensk North Airport
    Smolensk North Airport is a regional airport serving the city of Smolensk in western Russia, handling primarily domestic and limited civilian or military flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641286bbc8190886f309de13063bf completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.