Triple

T20095831
Position Surface form Disambiguated ID Type / Status
Subject Pyotr Velikiy E496396 entity
Predicate carriedAircraft P6548 FINISHED
Object Ka-27 helicopter 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: Ka-27 helicopter | Statement: [Pyotr Velikiy, carriedAircraft, Ka-27 helicopter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ka-27 helicopter
Context triple: [Pyotr Velikiy, carriedAircraft, Ka-27 helicopter]
  • A. Kamov Ka-25
    The Kamov Ka-25 is a Soviet-era naval helicopter designed primarily for anti-submarine warfare operations from warships.
  • B. Kamov Ka-28 helicopters chosen
    Kamov Ka-28 helicopters are Russian-made, shipborne anti-submarine warfare helicopters widely used for maritime patrol and submarine detection.
  • C. Kamov Ka-29
    The Kamov Ka-29 is a Soviet/Russian shipborne assault and transport helicopter developed from the Ka-27, designed primarily for amphibious assault and troop support operations.
  • D. Mi-8
    The Mi-8 is a Soviet-designed twin-turbine transport helicopter widely used around the world for both military and civilian roles.
  • E. Mil Mi-2
    The Mil Mi-2 is a Soviet light utility helicopter widely used for transport, training, and various civilian and military roles since the 1960s.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666cc02481908780a415b19c05a2 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:25 p.m.