Triple

T13603918
Position Surface form Disambiguated ID Type / Status
Subject Conducător E325010 entity
Predicate analogousTo P3882 FINISHED
Object Caudillo E106826 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: Caudillo | Statement: [Conducător, analogousTo, Caudillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caudillo
Context triple: [Conducător, analogousTo, Caudillo]
  • A. Caudillo chosen
    Caudillo was the authoritarian title used by Francisco Franco to denote his role as the supreme leader of Spain during his dictatorship.
  • B. Padre de la Patria
    Padre de la Patria is the honorific title given to Carlos Manuel de Céspedes, the Cuban independence leader who initiated the Ten Years' War against Spanish colonial rule.
  • C. Fulgencio
    Fulgencio is a Spanish given name most notably borne by Fulgencio Batista, the former Cuban military leader and president.
  • D. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • E. Mariscal
    Mariscal is a Spanish surname most notably associated with designer and illustrator Javier Mariscal, known for his influential work in graphic design and visual art.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f93ec588190993baec788d22670 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.