Triple

T15648183
Position Surface form Disambiguated ID Type / Status
Subject Yamburg gas field E376235 entity
Predicate operator P179 FINISHED
Object Gazprom E282855 NE FINISHED

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: [Yamburg gas field, operator, Gazprom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gazprom
Context triple: [Yamburg gas field, 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 (3 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.