Triple

T19987086
Position Surface form Disambiguated ID Type / Status
Subject 2013 Ecuadorian general election E493961 entity
Predicate otherPresidentialCandidate P21021 FINISHED
Object Álvaro Noboa 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: Álvaro Noboa | Statement: [2013 Ecuadorian general election, otherPresidentialCandidate, Álvaro Noboa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Álvaro Noboa
Context triple: [2013 Ecuadorian general election, otherPresidentialCandidate, Álvaro Noboa]
  • A. Álvaro Noboa chosen
    Álvaro Noboa is an Ecuadorian businessman and politician, known as one of the country’s wealthiest individuals and a frequent presidential candidate.
  • B. Manuel Lasso
    Manuel Lasso is a Spanish-language author known for his literary and philosophical works.
  • C. Miguel Lasso de la Vega
    Miguel Lasso de la Vega is a notable bearer of the Spanish surname Lasso, recognized for his prominence within that family line.
  • D. Daniel Noboa
    Daniel Noboa is an Ecuadorian politician and businessman who became one of the country's youngest presidents after winning the 2023 election.
  • E. Guillermo Lasso
    Guillermo Lasso is an Ecuadorian businessman and politician who served as the President of Ecuador from 2021 to 2023.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdd1a5c8190af756632aac38bf4 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:29 p.m.