Triple

T10036465
Position Surface form Disambiguated ID Type / Status
Subject Domodedovo Urban Okrug E205182 entity
Predicate contains P35 FINISHED
Object Domodedovo E40627 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: Domodedovo | Statement: [Domodedovo Urban Okrug, contains, Domodedovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domodedovo
Context triple: [Domodedovo Urban Okrug, contains, Domodedovo]
  • A. Domodedovo chosen
    Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
  • B. Domodedovo International Airport
    Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
  • C. 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.
  • D. Vnukovo International Airport
    Vnukovo International Airport is one of Moscow’s major international airports, serving as a key hub for both domestic and international flights in Russia.
  • E. Sheremetyevo Terminal D
    Sheremetyevo Terminal D is a major passenger terminal at Moscow’s Sheremetyevo International Airport, serving numerous international and domestic flights.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4bb3408190ac5dae4718ef7cad completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28258ab088190a31ad5854d91193b completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.