Triple

T15210238
Position Surface form Disambiguated ID Type / Status
Subject Beaulieu-sur-Mer E363494 entity
Predicate hasRailwayStation P918 FINISHED
Object Gare de Beaulieu-sur-Mer E533652 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: Gare de Beaulieu-sur-Mer | Statement: [Beaulieu-sur-Mer, hasRailwayStation, Gare de Beaulieu-sur-Mer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gare de Beaulieu-sur-Mer
Context triple: [Beaulieu-sur-Mer, hasRailwayStation, Gare de Beaulieu-sur-Mer]
  • A. Gare de Beaulieu-sur-Mer chosen
    Gare de Beaulieu-sur-Mer is a coastal railway station on the French Riviera that serves the town of Beaulieu-sur-Mer with regional TER train connections.
  • B. Gare de Cannes
    Gare de Cannes is the main railway station serving the coastal city of Cannes on France’s Côte d’Azur, providing regional and long-distance train connections.
  • C. Gare du Havre
    Gare du Havre is the main railway station in Le Havre, France, serving as a key regional and intercity transport hub.
  • D. Gare de Sens
    Gare de Sens is the main railway station serving the town of Sens in north-central France, providing regional and intercity train connections.
  • E. Gare d'Enghien-les-Bains
    Gare d'Enghien-les-Bains is a suburban railway station in the northern outskirts of Paris, serving the town of Enghien-les-Bains and nearby communes with regional Transilien train services.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076ad4ec81908d36f541fca08d72 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33f9abc8190bf8166c1fd9fcac6 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.