Triple

T11870256
Position Surface form Disambiguated ID Type / Status
Subject Volga Hydroelectric Station dam E282389 entity
Predicate operator P179 FINISHED
Object RusHydro E874412 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: RusHydro | Statement: [Volga Hydroelectric Station dam, operator, RusHydro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RusHydro
Context triple: [Volga Hydroelectric Station dam, operator, RusHydro]
  • A. RusHydro chosen
    RusHydro is one of Russia’s largest power generation companies, primarily focused on hydroelectric and renewable energy projects across the country.
  • B. Gazprom
    Gazprom is a Russian state-controlled energy giant and one of the world’s largest producers and exporters of natural gas.
  • C. Gazpromavia
    Gazpromavia is a Russian airline owned by the energy company Gazprom, operating passenger and cargo flights as well as corporate and charter services, particularly in support of the oil and gas industry.
  • D. Rosneftegaz
    Rosneftegaz is a Russian state-owned holding company that historically managed the government’s stakes in major oil and gas enterprises, including what became Rosneft.
  • E. Bashneft
    Bashneft is a major Russian oil company involved in the exploration, production, and refining of hydrocarbons.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281b0969c8190a8c0a01ca292cc84 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.