Triple

T18648933
Position Surface form Disambiguated ID Type / Status
Subject Power of Siberia E455881 entity
Predicate operator P179 FINISHED
Object Gazprom 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: Gazprom | Statement: [Power of Siberia, operator, Gazprom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gazprom
Context triple: [Power of Siberia, operator, Gazprom]
  • A. Gazprom chosen
    Gazprom is a Russian state-controlled energy giant and one of the world’s largest producers and exporters of natural gas.
  • B. Rosneft
    Rosneft is a major Russian state-controlled oil company and one of the world’s largest publicly traded petroleum producers.
  • C. 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.
  • D. Gazprom Neft
    Gazprom Neft is a major Russian oil company engaged in exploration, production, refining, and marketing of petroleum products.
  • E. Gazprom Transgaz
    Gazprom Transgaz is a major Russian gas transmission company responsible for operating and maintaining large sections of Gazprom’s natural gas pipeline network.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500fd7cc819095c5e742013b8d75 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.