Triple

T6011740
Position Surface form Disambiguated ID Type / Status
Subject Petropavlovsk-Kamchatsky Airport E133850 entity
Predicate alternativeName P39 FINISHED
Object Yelizovo Airport E134969 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: Yelizovo Airport | Statement: [Petropavlovsk-Kamchatsky Airport, alternativeName, Yelizovo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yelizovo Airport
Context triple: [Petropavlovsk-Kamchatsky Airport, alternativeName, Yelizovo Airport]
  • A. Yelizovo Airport chosen
    Yelizovo Airport is the main civil and military airport serving the city of Petropavlovsk-Kamchatsky and the Kamchatka Peninsula in Russia.
  • B. Ostafyevo International Airport
    Ostafyevo International Airport is a Moscow-area airport that serves both civilian and business aviation and functions as a key base for the Russian airline Gazpromavia.
  • C. Khrabrovo Airport
    Khrabrovo Airport is the main civilian airport serving the Russian exclave of Kaliningrad and its surrounding region.
  • D. Bolshoye Savino Airport
    Bolshoye Savino Airport is the main international airport serving the city of Perm in Russia’s Perm Krai region.
  • E. Yeysk Airport
    Yeysk Airport is a regional airport serving the town of Yeysk in Krasnodar Krai, Russia, handling civilian and possibly military aviation operations.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f5159bc8190a988293bbbb99d24 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a17bc88190b710a1858120a32d completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.