Triple

T2334682
Position Surface form Disambiguated ID Type / Status
Subject Smartavia E44282 entity
Predicate hubAirport P8171 FINISHED
Object Pulkovo Airport E282747 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: Pulkovo Airport | Statement: [Smartavia, hubAirport, Pulkovo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulkovo Airport
Context triple: [Smartavia, hubAirport, Pulkovo Airport]
  • A. Pulkovo Airport chosen
    Pulkovo Airport is the main international airport serving Saint Petersburg, Russia, and a major hub for both domestic and international flights.
  • B. 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.
  • 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. Roshchino International Airport
    Roshchino International Airport is a major airport serving Tyumen in western Siberia, Russia, functioning as an important regional air transport hub.
  • E. Kazan International Airport
    Kazan International Airport is the main commercial airport serving the city of Kazan and the surrounding region in Tatarstan, Russia.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc687362c8190a55b3d6cb1580d56 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de6f85f88190905882d24cc51c2d completed March 11, 2026, 9:28 p.m.
Created at: March 4, 2026, 7:51 p.m.