Triple

T10899017
Position Surface form Disambiguated ID Type / Status
Subject Nordavia E257385 entity
Predicate focusAirport P8171 FINISHED
Object Moscow Domodedovo Airport E7713 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: Moscow Domodedovo Airport | Statement: [Nordavia, focusAirport, Moscow Domodedovo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow Domodedovo Airport
Context triple: [Nordavia, focusAirport, Moscow Domodedovo Airport]
  • A. Domodedovo International Airport chosen
    Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
  • B. 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.
  • C. Domodedovo
    Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
  • 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. Zhukovsky International Airport
    Zhukovsky International Airport is a Russian international airport serving the Moscow region, known for its role in both civil aviation and aerospace-related activities.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2392c8190bc2c2359d63eff7a completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15524ec5c8190a330ce5fc16dd11d completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.