Triple

T19996006
Position Surface form Disambiguated ID Type / Status
Subject French nobility E494193 entity
Predicate hadCenter P30576 FINISHED
Object Versailles court NE NERFINISHED

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 court | Statement: [French nobility, hadCenter, Versailles court]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versailles court
Context triple: [French nobility, hadCenter, Versailles court]
  • 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. La Reine de France
    La Reine de France is a historical drama play by French playwright Marcelle Maurette, best known for its portrayal of the life and courtly intrigues of a French queen.
  • E. La Paillade
    La Paillade is the traditional nickname of French football club Montpellier HSC, widely used by supporters and media to refer to the team.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.