Triple

T5504146
Position Surface form Disambiguated ID Type / Status
Subject San Juan y Martínez E144397 entity
Predicate hasNameInLanguage P15 FINISHED
Object San Juan y Martínez (Spanish) E144397 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: San Juan y Martínez (Spanish) | Statement: [San Juan y Martínez, hasNameInLanguage, San Juan y Martínez (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Juan y Martínez (Spanish)
Context triple: [San Juan y Martínez, hasNameInLanguage, San Juan y Martínez (Spanish)]
  • A. San Juan y Martínez chosen
    San Juan y Martínez is a Cuban town and municipality in the western province of Pinar del Río, known especially for its tobacco cultivation.
  • B. San Juan de Vera de las Siete Corrientes
    San Juan de Vera de las Siete Corrientes is the historical name of Corrientes, a provincial capital city in northeastern Argentina known for its location on the Paraná River and its colonial heritage.
  • C. Marta (Spanish)
    Marta is the Spanish given name equivalent to Martha, commonly used in Spanish-speaking countries.
  • D. Martínez
    Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
  • E. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0d21848190ae8c41561eca6342 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027aa65608190a89fdfb0da675d4d completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:32 p.m.