Triple

T12242985
Position Surface form Disambiguated ID Type / Status
Subject Franco Corelli E291780 entity
Predicate performedAt P270 FINISHED
Object Arena di Verona E291789 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: Arena di Verona | Statement: [Franco Corelli, performedAt, Arena di Verona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arena di Verona
Context triple: [Franco Corelli, performedAt, Arena di Verona]
  • A. Arena di Verona chosen
    Arena di Verona is a historic Roman amphitheater in Verona, Italy, renowned as a major open-air opera venue that hosts large-scale performances and festivals.
  • B. Stadio Euganeo
    Stadio Euganeo is a multi-purpose football stadium in Padua, Italy, primarily known as the home ground of Calcio Padova.
  • C. Stadio Arechi
    Stadio Arechi is a football stadium in Salerno, Italy, primarily known as the home ground of the club US Salernitana 1919.
  • D. Stadio Brianteo
    Stadio Brianteo is a multi-purpose football stadium in Monza, Italy, best known as the home ground of AC Monza.
  • E. Villa ArenA
    Villa ArenA is a large home furnishings and interior design shopping mall located in Amsterdam’s ArenA district.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.