Triple

T526283
Position Surface form Disambiguated ID Type / Status
Subject Eurosport E10924 entity
Predicate broadcasts P833 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: [Eurosport, broadcasts, Tour de France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour de France
Context triple: [Eurosport, broadcasts, 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. 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.
  • C. 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.
  • D. New York–Paris
    New York–Paris is a major transatlantic air route connecting the United States and France, linking New York City with the French capital.
  • E. Grand Tour
    The Grand Tour was a traditional educational journey through Europe, especially Italy and France, undertaken by wealthy young Europeans from the 17th to 19th centuries to study art, culture, and classical antiquity.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d0d22081908aad915482d39e74 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d71fa881908c52d2a675b5b7d1 completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.