Triple

T20972194
Position Surface form Disambiguated ID Type / Status
Subject Orlík Reservoir E516529 entity
Predicate operator P179 FINISHED
Object ČEZ Group 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: ČEZ Group | Statement: [Orlík Reservoir, operator, ČEZ Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ČEZ Group
Context triple: [Orlík Reservoir, operator, ČEZ Group]
  • A. ČEZ Group chosen
    ČEZ Group is a major Czech energy conglomerate and one of Central Europe’s largest electricity producers, operating power plants, distribution networks, and related energy services.
  • B. Slovenské elektrárne
    Slovenské elektrárne is Slovakia’s largest electricity producer, operating major hydroelectric and nuclear power plants across the country.
  • C. Tractebel Energia
    Tractebel Energia is a Brazilian electric power generation company known for operating large hydroelectric facilities and other energy assets across the country.
  • D. Eurelectric
    Eurelectric is the pan-European industry association representing the interests of the electricity sector and power companies across Europe.
  • E. Fortum
    Fortum is a Finnish state-owned energy company that focuses on electricity generation, district heating, and related energy services across the Nordic and Baltic regions, Poland, and India.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba161d88190b8905891f449004e completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:44 p.m.