Triple

T829257
Position Surface form Disambiguated ID Type / Status
Subject Andrea Palladio E17926 entity
Predicate placeOfBirth P1 FINISHED
Object Padua E33673 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: Padua | Statement: [Andrea Palladio, placeOfBirth, Padua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padua
Context triple: [Andrea Palladio, placeOfBirth, Padua]
  • A. Padua chosen
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • B. 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.
  • C. Vicenza
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • D. 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."
  • E. Udine
    Udine is a historic city in northeastern Italy’s Friuli region, known for its medieval center, Venetian-influenced architecture, and role as an important political and cultural hub.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab9b458881909aa23f0eb7cbc87f completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46627dc81908565f4f93cd35012 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:38 p.m.