Triple

T14220279
Position Surface form Disambiguated ID Type / Status
Subject Trappes E352470 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: [Trappes, locatedNear, Versailles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versailles
Context triple: [Trappes, 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. Versailles
    "Versailles" is a historical drama television series centered on the reign of France's King Louis XIV and the political intrigue surrounding the construction and life at the Palace of Versailles.
  • C. Versailles
    Versailles is a small borough in Allegheny County, Pennsylvania, situated along the Youghiogheny River in the Pittsburgh metropolitan area.
  • D. 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.
  • E. Versailles-Rive-Gauche–Château de Versailles
    Versailles-Rive-Gauche–Château de Versailles is a major suburban railway terminus in Versailles, France, serving as the principal rail access point for visitors to the Palace of Versailles from central Paris.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6213801c8190a47705cd890b9ae7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28121a288190975d5852f9a503d4 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.