Triple

T21631968
Position Surface form Disambiguated ID Type / Status
Subject Aeroport E533852 entity
Predicate namedAfter P63 FINISHED
Object Khodynka Aerodrome NE NERFINISHED

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: Khodynka Aerodrome | Statement: [Aeroport, namedAfter, Khodynka Aerodrome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khodynka Aerodrome
Context triple: [Aeroport, namedAfter, Khodynka Aerodrome]
  • A. Khodynka Aerodrome chosen
    Khodynka Aerodrome was Moscow’s first major airfield and one of Russia’s earliest airports, historically significant as a hub of early Soviet aviation before its closure and redevelopment.
  • B. Pryluky airfield
    Pryluky airfield is a military air base in Pryluky, Ukraine, historically known for hosting strategic bomber aircraft during the Soviet era.
  • C. Ramenskoye airfield
    Ramenskoye airfield is a major Russian airfield near Zhukovsky, known for flight testing and hosting the MAKS International Aviation and Space Salon.
  • D. Pardubice Air Base
    Pardubice Air Base is a military airfield in the Czech Republic that serves as one of the main operating bases of the Czech Air Force.
  • E. Kbely Air Base
    Kbely Air Base is a major military airfield near Prague that serves as one of the principal operational and logistical hubs of the Czech Air Force.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5217952c8190910c2103fb4a27d9 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.