Triple

T3560949
Position Surface form Disambiguated ID Type / Status
Subject Grand Palace (Peterhof) E75335 entity
Predicate styleInfluence P8654 FINISHED
Object Versailles E238037 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: [Grand Palace (Peterhof), styleInfluence, Versailles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versailles
Context triple: [Grand Palace (Peterhof), styleInfluence, Versailles]
  • A. Versailles
    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 chosen
    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. 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.
  • D. 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.
  • E. Sèvres
    Sèvres is a commune in the southwestern suburbs of Paris, France, historically notable as the site where the post–World War I Treaty of Sèvres was concluded.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08ac1b0819082021ecdd0061dc3 completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402e41b8c8190b6221725c7a84532 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.