Triple

T8929670
Position Surface form Disambiguated ID Type / Status
Subject Instituto Nacional de Industria E212618 entity
Predicate subsidiary P258 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: [Instituto Nacional de Industria, subsidiary, Endesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Endesa
Context triple: [Instituto Nacional de Industria, subsidiary, 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. 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.
  • 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. 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.
  • 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 (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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6676d5d881908ce78cbb5561a68b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.