Triple

T3864259
Position Surface form Disambiguated ID Type / Status
Subject Saint-Quentin-en-Yvelines station E91811 entity
Predicate locatedNear P294 FINISHED
Object Versailles E9321 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: Versailles | Statement: [Saint-Quentin-en-Yvelines station, locatedNear, Versailles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versailles
Context triple: [Saint-Quentin-en-Yvelines station, locatedNear, Versailles]
  • A. Versailles chosen
    Versailles is a historic French city best known for the opulent Palace of Versailles, a former royal residence and a symbol of absolute monarchy and French cultural grandeur.
  • B. Château de Versailles
    The Château de Versailles is a grand former royal palace near Paris, renowned for its opulent architecture, expansive gardens, and central role in French history and culture.
  • C. Savoye
    Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
  • D. La Brède
    La Brède is a French commune in the Gironde department of southwestern France, best known as the birthplace of the philosopher Montesquieu and for its historic Château de La Brède.
  • E. Saint-Germain-en-Laye
    Saint-Germain-en-Laye is a historic town in the western suburbs of Paris, France, known for its royal château and long association with the French monarchy.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3871d881909c6c8e6d08203801 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c808c808190928bf07788ad9657 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.