Triple

T8350988
Position Surface form Disambiguated ID Type / Status
Subject Saint Cajetan E196156 entity
Predicate birthPlace P1 FINISHED
Object Vicenza E63542 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: Vicenza | Statement: [Saint Cajetan, birthPlace, Vicenza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicenza
Context triple: [Saint Cajetan, birthPlace, Vicenza]
  • A. Vicenza chosen
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • B. Treviso
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • C. Villafranca di Verona
    Villafranca di Verona is a town in northern Italy’s Veneto region, historically notable as the site where the 1859 Armistice of Villafranca was signed during the Second Italian War of Independence.
  • D. Padua
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • E. Verona
    Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8019fb308190a3edc744bd473a5b completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7b2d00c8190b7df13a0853a6374 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 5:59 p.m.