Triple

T18986417
Position Surface form Disambiguated ID Type / Status
Subject MAAT E464568 entity
Predicate sponsor P67 FINISHED
Object EDP (Energias de Portugal) 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 (Energias de Portugal) | Statement: [MAAT, sponsor, EDP (Energias de Portugal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDP (Energias de Portugal)
Context triple: [MAAT, sponsor, EDP (Energias de Portugal)]
  • A. EDP – Energias de Portugal chosen
    EDP – Energias de Portugal is a major Portuguese multinational energy company focused on electricity generation, distribution, and renewable energy.
  • 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
    Endesa is a major Spanish electric utility company and one of the leading energy providers in the Iberian Peninsula and Latin America.
  • D. CPFL Energia
    CPFL Energia is a major Brazilian electric utility company engaged in the generation, distribution, and commercialization of electricity across multiple regions of Brazil.
  • E. RSC Energia
    RSC Energia is a leading Russian spacecraft and rocket manufacturer best known for designing and operating crewed spacecraft and space station modules, including key components of the Soyuz and Mir programs.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d660835c8190bedd78590b3e0a7e completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.