Triple

T6784303
Position Surface form Disambiguated ID Type / Status
Subject Klimov RD-33 E155761 entity
Predicate manufacturer P490 FINISHED
Object Klimov
Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
E617032 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: Klimov | Statement: [Klimov RD-33, manufacturer, Klimov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klimov
Context triple: [Klimov RD-33, manufacturer, Klimov]
  • A. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • B. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • C. Komarov
    Komarov is a Russian surname most famously associated with Soviet cosmonaut Vladimir Komarov, the first human to die during a space mission.
  • D. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • E. Kistiakowsky
    Kistiakowsky is a surname most notably associated with George Kistiakowsky, a Ukrainian-American physical chemist who contributed to the Manhattan Project and later served as a science advisor to U.S. President Dwight D. Eisenhower.
  • 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: Klimov
Triple: [Klimov RD-33, manufacturer, Klimov]
Generated description
Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klimov
Target entity description: Klimov is a Russian aerospace company renowned for designing and producing military and civilian gas-turbine engines, particularly for fighter aircraft and helicopters.
  • A. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • B. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • C. Komarov
    Komarov is a Russian surname most famously associated with Soviet cosmonaut Vladimir Komarov, the first human to die during a space mission.
  • D. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • E. Kistiakowsky
    Kistiakowsky is a surname most notably associated with George Kistiakowsky, a Ukrainian-American physical chemist who contributed to the Manhattan Project and later served as a science advisor to U.S. President Dwight D. Eisenhower.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d6fb4c8190a7e7b88edc9c848c completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c7135f643481908b325739af0c6611 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c713f829e08190973571df498acbb5 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:14 p.m.