Triple

T5545770
Position Surface form Disambiguated ID Type / Status
Subject Casa de Correos E145403 entity
Predicate architect P184 FINISHED
Object Ventura Rodríguez E178533 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: Ventura Rodríguez | Statement: [Casa de Correos, architect, Ventura Rodríguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventura Rodríguez
Context triple: [Casa de Correos, architect, Ventura Rodríguez]
  • A. Ventura Rodríguez chosen
    Ventura Rodríguez was an 18th-century Spanish architect and urban planner renowned for his influential role in shaping Madrid’s neoclassical architecture.
  • B. Rodriguez Romero
    Rodriguez Romero is an actor known for his role in the film "Meet John Doe."
  • C. Victor Hernández Cruz
    Victor Hernández Cruz is a Puerto Rican poet known for his innovative, jazz-influenced verse and his role as a prominent voice in contemporary Latino literature.
  • D. Juan Aldama
    Juan Aldama was a Mexican insurgent and key conspirator in the early stages of the Mexican War of Independence.
  • E. Montañez Ortiz
    Montañez Ortiz is the surname of Rafael Montañez Ortiz, a pioneering American artist and educator known for his contributions to destruction art and the founding of El Museo del Barrio in New York City.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fcc75448190a4c47ded65591345 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d6edb7481908e94de7314ca70cc completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:35 p.m.