Triple

T9353167
Position Surface form Disambiguated ID Type / Status
Subject Pont de l'Archevêché E225066 entity
Predicate locatedNear P294 FINISHED
Object Quai de l'Archevêché E252547 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 l'Archevêché | Statement: [Pont de l'Archevêché, locatedNear, Quai de l'Archevêché]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quai de l'Archevêché
Context triple: [Pont de l'Archevêché, locatedNear, Quai de l'Archevêché]
  • A. Quai de l’Archevêché chosen
    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.
  • 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. 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.
  • D. 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.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9515008190b01fbb43d673de2a completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af2542c48190b481dcd08187dabd completed April 5, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:41 p.m.