Triple

T18849249
Position Surface form Disambiguated ID Type / Status
Subject EDP – Energias de Portugal E460996 entity
Predicate hasSubsidiary P254 FINISHED
Object EDP España 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: EDP España | Statement: [EDP – Energias de Portugal, hasSubsidiary, EDP España]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDP España
Context triple: [EDP – Energias de Portugal, hasSubsidiary, EDP España]
  • A. Red Eléctrica de España
    Red Eléctrica de España is the Spanish transmission system operator responsible for managing and operating Spain’s high-voltage electricity grid.
  • B. Endesa
    Endesa is a major Spanish electric utility company and one of the leading energy providers in the Iberian Peninsula and Latin America.
  • C. Iberdrola
    Iberdrola is a major Spanish multinational electric utility company and one of the world’s largest producers of wind and renewable energy.
  • D. EDP – Energias de Portugal chosen
    EDP – Energias de Portugal is a major Portuguese multinational energy company focused on electricity generation, distribution, and renewable energy.
  • E. Tractebel Energia
    Tractebel Energia is a Brazilian electric power generation company known for operating large hydroelectric facilities and other energy assets across the country.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.