Triple

T14929261
Position Surface form Disambiguated ID Type / Status
Subject Luciano Vincenzoni E372214 entity
Predicate birthPlace P1 FINISHED
Object Treviso E160032 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: Treviso | Statement: [Luciano Vincenzoni, birthPlace, Treviso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Treviso
Context triple: [Luciano Vincenzoni, birthPlace, Treviso]
  • A. Treviso chosen
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • B. 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.
  • C. Vicenza
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • D. Rovigo
    Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
  • E. Trento
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9976bc888190a050c2502d1f8e81 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 2:36 a.m.