Triple

T16155111
Position Surface form Disambiguated ID Type / Status
Subject Jean-François Bernard E392018 entity
Predicate race P194 FINISHED
Object Tour de France E2389 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: Tour de France | Statement: [Jean-François Bernard, race, Tour de France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour de France
Context triple: [Jean-François Bernard, race, Tour de France]
  • A. Tour de France chosen
    The Tour de France is the world’s most prestigious multi-stage cycling race, held annually and primarily contested on roads across France.
  • B. 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.
  • C. Giro d'Italia
    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.
  • 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. Tour de la Chaîne
    Tour de la Chaîne is a historic medieval defensive tower guarding the entrance to the old harbor of La Rochelle on France’s Atlantic coast.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5902a08190ad8694955ef6073a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ae46dc81908cba9152a6080c3a completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.