Triple

T15448356
Position Surface form Disambiguated ID Type / Status
Subject Quai de la Gare E370081 entity
Predicate namedAfter P63 FINISHED
Object Quai de la Gare (street) E370081 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 la Gare (street) | Statement: [Quai de la Gare, namedAfter, Quai de la Gare (street)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quai de la Gare (street)
Context triple: [Quai de la Gare, namedAfter, Quai de la Gare (street)]
  • A. Quai de la Gare chosen
    Quai de la Gare is a Paris Métro station located in the 13th arrondissement near the Seine, serving the surrounding riverside and cultural areas.
  • B. Quai de l’Hôtel-de-Ville
    Quai de l’Hôtel-de-Ville is a riverside street along the right bank of the Seine in central Paris, facing the historic Hôtel de Ville (City Hall).
  • C. Place de la Gare
    Place de la Gare is the main public square typically located in front of a railway station, serving as a hub for pedestrian access, transit connections, and surrounding urban activity.
  • D. Quai de l’Archevêché
    Quai de l’Archevêché is a riverside quay on Paris’s Île de la Cité, known for its views of Notre-Dame Cathedral and its location along the Seine.
  • E. 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.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21afb6f4819094162ca842b7eb60 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.