Triple

T20111023
Position Surface form Disambiguated ID Type / Status
Subject Liga ACB E490329 entity
Predicate sponsor P67 FINISHED
Object Endesa 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: Endesa | Statement: [Liga ACB, sponsor, Endesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Endesa
Context triple: [Liga ACB, sponsor, 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. 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.
  • D. 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.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e0180c8190adeead0e60a099b0 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.