Triple

T3467737
Position Surface form Disambiguated ID Type / Status
Subject Stade Vélodrome E73177 entity
Predicate alsoKnownAs P39 FINISHED
Object Orange Vélodrome E73177 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: Orange Vélodrome | Statement: [Stade Vélodrome, alsoKnownAs, Orange Vélodrome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Vélodrome
Context triple: [Stade Vélodrome, alsoKnownAs, Orange Vélodrome]
  • A. Vélodrome de Vincennes
    Vélodrome de Vincennes is a historic cycling stadium in Paris that served as one of the main venues for the 1900 Summer Olympics.
  • B. Parc des Sports
    Parc des Sports is a major sports complex and stadium area in Strasbourg, France, serving as a key venue for local and regional sporting events.
  • C. Stade Vélodrome chosen
    Stade Vélodrome is a major multi-purpose stadium in Marseille, France, best known as the home ground of Olympique de Marseille and a frequent venue for international football and rugby matches.
  • D. Hippodrome de Vincennes
    Hippodrome de Vincennes is a major Parisian horse racing track renowned as the home of French trotting races.
  • E. Hippodrome d’Auteuil
    Hippodrome d’Auteuil is a renowned Parisian racecourse specializing in steeplechase and jump racing, located on the western edge of the city.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb11ec5881908347bf92883a25ee completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680763608190acdd146dc7c0b239 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.