Triple

T16831696
Position Surface form Disambiguated ID Type / Status
Subject Excelentísimo Señor Presidente E409164 entity
Predicate hasComponent P35 FINISHED
Object Señor Presidente E49686 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: Señor Presidente | Statement: [Excelentísimo Señor Presidente, hasComponent, Señor Presidente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Señor Presidente
Context triple: [Excelentísimo Señor Presidente, hasComponent, Señor Presidente]
  • A. Señor Presidente chosen
    Señor Presidente is the formal Spanish honorific used to address the sitting President of Mexico.
  • B. Señor Vicepresidente
    Señor Vicepresidente is the formal Spanish honorific used to address the Second Vice President of Peru.
  • C. Mister President
    Mister President is the formal style of address used for the presiding officer of Belgium’s Chamber of Representatives.
  • D. Compañero Presidente
    Compañero Presidente is an honorific style used to address the President of the Republic of Cuba, reflecting the country’s socialist and egalitarian political culture.
  • E. Señor Ministro
    Señor Ministro is the formal honorific style used to address the Minister of National Defense of Chile.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b317af8c8190a09cb6d60d28e342 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a2a5348190b14af8ab88a281b7 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.