Triple

T20278716
Position Surface form Disambiguated ID Type / Status
Subject Rialto Bridge E503080 entity
Predicate architect P184 FINISHED
Object Antonio da Ponte 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: Antonio da Ponte | Statement: [Rialto Bridge, architect, Antonio da Ponte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio da Ponte
Context triple: [Rialto Bridge, architect, Antonio da Ponte]
  • A. Antonio da Ponte chosen
    Antonio da Ponte was a 16th-century Venetian architect and engineer best known for designing the iconic stone Rialto Bridge in Venice.
  • B. Antonio Quercia
    Antonio Quercia is a Chilean cinematographer known for his work on genre films, including Eli Roth’s horror movie "The Green Inferno."
  • C. Paolo Almerico
    Paolo Almerico was a 16th-century Venetian cleric and patron who commissioned Andrea Palladio to build the renowned Villa Rotonda near Vicenza.
  • D. Giovanni Pietro de Pomis
    Giovanni Pietro de Pomis was an Italian Mannerist painter, architect, and medallist active in the early 17th century, best known for his work at the Habsburg court in Graz.
  • E. Guido Alberti
    Guido Alberti was an Italian industrialist and actor best known for leading the Strega liqueur company and helping establish the prestigious Strega Prize for literature.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e59f7c819086638b871ecbbd40 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:35 a.m.