Triple

T11208073
Position Surface form Disambiguated ID Type / Status
Subject Rue de la Bûcherie E265225 entity
Predicate locatedNear P294 FINISHED
Object Quai de Montebello E819382 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: Quai de Montebello | Statement: [Rue de la Bûcherie, locatedNear, Quai de Montebello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quai de Montebello
Context triple: [Rue de la Bûcherie, locatedNear, Quai de Montebello]
  • A. Quai de Montebello chosen
    Quai de Montebello is a scenic riverside quay along the Seine in central Paris, known for its views of Notre-Dame Cathedral and its lively bookstalls and cafés.
  • B. Quai de Bourbon
    Quai de Bourbon is a historic riverside quay on the Île Saint-Louis in central Paris, known for its elegant 17th-century townhouses and views over the Seine.
  • C. Quai de la Douane
    Quai de la Douane is a waterfront quay in the Port of Nice, France, serving as a docking and loading area for maritime traffic.
  • D. Quai de Conti
    Quai de Conti is a historic riverside quay on the Left Bank of the Seine in central Paris, known for its cultural institutions and picturesque views.
  • E. Quai de la Rapée
    Quai de la Rapée is a Paris Métro station located near the Seine in the 12th arrondissement, serving as a stop on the city’s rapid transit network.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d5f8908190903817f84c629ba1 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f416d18eec81909f417e49507b117d completed May 1, 2026, 2:58 a.m.
Created at: April 8, 2026, 9:30 p.m.