Triple

T3663586
Position Surface form Disambiguated ID Type / Status
Subject Paris–Roubaix E77707 entity
Predicate finishLocation P2684 FINISHED
Object Roubaix E223522 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: Roubaix | Statement: [Paris–Roubaix, finishLocation, Roubaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roubaix
Context triple: [Paris–Roubaix, finishLocation, Roubaix]
  • A. Roubaix chosen
    Roubaix is a city in northern France known for its textile industry heritage and as the finish of the Paris–Roubaix professional cycling race.
  • B. Dauphiné
    Dauphiné is a historical region in southeastern France, centered around Grenoble in the Alps, known for its role in French history and distinctive alpine culture.
  • C. Paris–Lille
    Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
  • D. La Flèche Wallonne
    La Flèche Wallonne is a prestigious one-day professional road cycling race held annually in Belgium, renowned for its steep, decisive climbs such as the Mur de Huy.
  • E. Paris–Roubaix
    Paris–Roubaix is one of cycling’s oldest and most prestigious one-day “Monument” races, famed for its brutal cobblestone sectors and often unpredictable, harsh conditions.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48848be788190acde46880918d36b completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.