Triple

T12645887
Position Surface form Disambiguated ID Type / Status
Subject Vnukovo District E302021 entity
Predicate namedAfter P63 FINISHED
Object Vnukovo E9017 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: Vnukovo | Statement: [Vnukovo District, namedAfter, Vnukovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vnukovo
Context triple: [Vnukovo District, namedAfter, Vnukovo]
  • A. Vnukovo International Airport chosen
    Vnukovo International Airport is one of Moscow’s major international airports, serving as a key hub for both domestic and international flights in Russia.
  • B. Domodedovo
    Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
  • C. Domodedovo International Airport
    Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
  • D. Sheremetyevo International Airport
    Sheremetyevo International Airport is one of Russia’s largest and busiest airports, serving as a major international gateway to Moscow and a key hub for Aeroflot.
  • E. Vnukovo Airport railway station
    Vnukovo Airport railway station is a rail terminal in Moscow that provides direct train services between Vnukovo International Airport and the city.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719a45d881908dd895836a225781 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:17 p.m.