Triple

T9318664
Position Surface form Disambiguated ID Type / Status
Subject Odintsovsky District E224188 entity
Predicate contains P35 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: [Odintsovsky District, contains, Vnukovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vnukovo
Context triple: [Odintsovsky District, contains, 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c48be481908b670d1e30a9c7e2 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:38 p.m.