Triple

T5552910
Position Surface form Disambiguated ID Type / Status
Subject Château de Meudon E145567 entity
Predicate near P350 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: [Château de Meudon, near, Versailles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versailles
Context triple: [Château de Meudon, near, 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. 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.
  • D. Savoye
    Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
  • E. Versailles-Rive-Gauche
    Versailles-Rive-Gauche is the former name of the main RER suburban railway station serving the Palace of Versailles and its surrounding area in Versailles, France.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff872bc81908e14776f7ba4154e completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:35 p.m.