Triple

T15300088
Position Surface form Disambiguated ID Type / Status
Subject Tolmachevo Airport E365762 entity
Predicate namedAfter P63 FINISHED
Object Tolmachevo
Tolmachevo is a locality in Russia whose name is borne by the nearby Tolmachevo Airport, a major air transport hub in the region.
E1149208 NE FINISHED

How this triple was built (4 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: Tolmachevo | Statement: [Tolmachevo Airport, namedAfter, Tolmachevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolmachevo
Context triple: [Tolmachevo Airport, namedAfter, Tolmachevo]
  • A. Akmolinsk
    Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
  • B. Karachayevsk
    Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
  • C. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • D. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • E. Yalutorovsk
    Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tolmachevo
Triple: [Tolmachevo Airport, namedAfter, Tolmachevo]
Generated description
Tolmachevo is a locality in Russia whose name is borne by the nearby Tolmachevo Airport, a major air transport hub in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tolmachevo
Target entity description: Tolmachevo is a locality in Russia whose name is borne by the nearby Tolmachevo Airport, a major air transport hub in the region.
  • A. Akmolinsk
    Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
  • B. Karachayevsk
    Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
  • C. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • D. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • E. Yalutorovsk
    Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
  • F. None of above. chosen

Provenance (5 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef8513a08190b2d2a7dde85dd43d completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef23de4688190beeb59ef43891e3d completed May 9, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69fef2d8fe04819084bb3deb6859d746 completed May 9, 2026, 8:39 a.m.
Created at: April 10, 2026, 3:15 a.m.