Triple

T12419494
Position Surface form Disambiguated ID Type / Status
Subject Leonid Fedun E296728 entity
Predicate employer P7 FINISHED
Object Lukoil
Lukoil is one of Russia's largest vertically integrated oil and gas companies, engaged in exploration, production, refining, and marketing of petroleum products worldwide.
 E980379 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: Lukoil | Statement: [Leonid Fedun, employer, Lukoil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lukoil
Context triple: [Leonid Fedun, employer, Lukoil]
  • A. Rosneft
    Rosneft is a major Russian state-controlled oil company and one of the world’s largest publicly traded petroleum producers.
  • B. Gazprom Neft
    Gazprom Neft is a major Russian oil company engaged in exploration, production, refining, and marketing of petroleum products.
  • C. Gazprom
    Gazprom is a Russian state-controlled energy giant and one of the world’s largest producers and exporters of natural gas.
  • D. Tatneft
    Tatneft is a major Russian oil and gas company headquartered in the Republic of Tatarstan and among the country’s largest vertically integrated energy producers.
  • E. Bashneft
    Bashneft is a major Russian oil company involved in the exploration, production, and refining of hydrocarbons.
  • 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: Lukoil
Triple: [Leonid Fedun, employer, Lukoil]
Generated description
Lukoil is one of Russia's largest vertically integrated oil and gas companies, engaged in exploration, production, refining, and marketing of petroleum products worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lukoil
Target entity description: Lukoil is one of Russia's largest vertically integrated oil and gas companies, engaged in exploration, production, refining, and marketing of petroleum products worldwide.
  • A. Rosneft
    Rosneft is a major Russian state-controlled oil company and one of the world’s largest publicly traded petroleum producers.
  • B. Gazprom Neft
    Gazprom Neft is a major Russian oil company engaged in exploration, production, refining, and marketing of petroleum products.
  • C. Gazprom
    Gazprom is a Russian state-controlled energy giant and one of the world’s largest producers and exporters of natural gas.
  • D. Tatneft
    Tatneft is a major Russian oil and gas company headquartered in the Republic of Tatarstan and among the country’s largest vertically integrated energy producers.
  • E. Bashneft
    Bashneft is a major Russian oil company involved in the exploration, production, and refining of hydrocarbons.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634933b9881909fd592ede7c3e49c completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.