Triple

T21452243
Position Surface form Disambiguated ID Type / Status
Subject Franco Bitossi E529238 entity
Predicate wonRace P8326 FINISHED
Object Giro di Sicilia NE NERFINISHED

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: Giro di Sicilia | Statement: [Franco Bitossi, wonRace, Giro di Sicilia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giro di Sicilia
Context triple: [Franco Bitossi, wonRace, Giro di Sicilia]
  • A. Giro di Sicilia chosen
    The Giro di Sicilia is a professional multi-stage road cycling race held on the Italian island of Sicily, featuring challenging routes and attracting international riders.
  • B. Giro di Sardegna
    The Giro di Sardegna was a professional multi-stage road cycling race held on the Italian island of Sardinia.
  • C. Giro di Campania
    Giro di Campania was an Italian professional road cycling race held in the Campania region, known for attracting strong international riders during the mid-20th century.
  • D. Giro di Toscana
    Giro di Toscana is an Italian one-day professional road cycling race held in the Tuscany region.
  • E. Giro di Romagna
    Giro di Romagna is an Italian one-day professional road cycling race traditionally held in the Emilia-Romagna region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d426d88190ae87ae9fac9c30a0 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:07 p.m.