Triple

T16060583
Position Surface form Disambiguated ID Type / Status
Subject Ascó Nuclear Power Plant E389598 entity
Predicate ownedBy P347 FINISHED
Object Endesa E705363 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: Endesa | Statement: [Ascó Nuclear Power Plant, ownedBy, Endesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Endesa
Context triple: [Ascó Nuclear Power Plant, ownedBy, Endesa]
  • A. Endesa chosen
    Endesa is a major Spanish electric utility company and one of the leading energy providers in the Iberian Peninsula and Latin America.
  • B. Iberdrola
    Iberdrola is a major Spanish multinational electric utility company and one of the world’s largest producers of wind and renewable energy.
  • C. Endesa Chile
    Endesa Chile is a major Chilean electricity generation company, historically one of the country’s largest power producers and a key player in its hydroelectric sector.
  • D. Tractebel Energia
    Tractebel Energia is a Brazilian electric power generation company known for operating large hydroelectric facilities and other energy assets across the country.
  • E. Enel Colombia
    Enel Colombia is a major energy company operating in Colombia, focused on the generation, distribution, and commercialization of electricity, including large-scale hydroelectric projects.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837850288190910ef37d6484c600 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8b1b2c8190949943b20f2f8574 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:57 a.m.