Triple

T16911934
Position Surface form Disambiguated ID Type / Status
Subject Sean Kelly E410217 entity
Predicate competedIn P149 FINISHED
Object Giro d'Italia E13947 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: Giro d'Italia | Statement: [Sean Kelly, competedIn, Giro d'Italia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giro d'Italia
Context triple: [Sean Kelly, competedIn, Giro d'Italia]
  • A. Giro d'Italia chosen
    The Giro d'Italia is one of cycling's three Grand Tours, a prestigious multi-week stage race held annually across Italy and renowned for its challenging mountain routes and iconic pink leader's jersey.
  • B. Tour de France
    The Tour de France is the world’s most prestigious multi-stage cycling race, held annually and primarily contested on roads across France.
  • C. Le Tour
    Le Tour is a small alpine village in the Chamonix-Mont-Blanc area of the French Alps, known as a base for skiing, hiking, and access to nearby glaciers.
  • D. Vuelta a España
    The Vuelta a España is one of cycling’s three Grand Tours, a prestigious multi-week stage race held annually across Spain.
  • E. Giro di Sicilia
    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.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd0ff2881908686678daab46664 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.