Triple

T6288451
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe Verdi E140955 entity
Predicate residence P75 FINISHED
Object Busseto E581043 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: Busseto | Statement: [Giuseppe Verdi, residence, Busseto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busseto
Context triple: [Giuseppe Verdi, residence, Busseto]
  • A. Busseto chosen
    Busseto is a small town in the Emilia-Romagna region of northern Italy, best known as the birthplace and early home of composer Giuseppe Verdi.
  • B. Copertino
    Copertino is a historic town in Italy’s Apulia region, known for its medieval castle and as the birthplace of Saint Joseph of Cupertino.
  • C. Lodi
    Lodi is a city in California’s Central Valley known for its extensive wine grape production and growing reputation as a major wine region.
  • D. Lodi
    Lodi is a city in northern Italy’s Lombardy region, known for its historic center, Renaissance architecture, and role as a regional commercial and cultural hub.
  • E. Pistoia
    Pistoia is a historic Italian city known for its medieval architecture, vibrant cultural heritage, and location in the northern part of Tuscany.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064182f60819093a8313e1dbf2763 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e418a9e4819083f446b05175e904 completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.