Triple

T15922033
Position Surface form Disambiguated ID Type / Status
Subject Col du Galibier E386114 entity
Predicate hasCategoryInTourDeFrance P15481 FINISHED
Object Hors Catégorie LITERAL 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: Hors Catégorie | Statement: [Col du Galibier, hasCategoryInTourDeFrance, Hors Catégorie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCategoryInTourDeFrance
Context triple: [Col du Galibier, hasCategoryInTourDeFrance, Hors Catégorie]
  • A. lastTourDeFranceParticipation
    Indicates the most recent instance in which an entity took part in the Tour de France.
  • B. hasCategoryOn chosen
    Indicates that something is assigned to or associated with a specific category within a given context or scope.
  • C. roleInTourDeFrance
    Indicates the specific capacity or function an entity has within the context of the Tour de France (e.g., rider, team, official, or support role).
  • D. hasCategoryWithin
    Indicates that one category is contained within or is a subcategory of another category.
  • E. containsCategory
    Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
  • F. None of above.

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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e172b48b308190bc430b2308cbc75b completed April 16, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69e142cf5c548190a931f7b58144cd31 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:52 a.m.