Triple

T2122553
Position Surface form Disambiguated ID Type / Status
Subject Cour Napoléon E43957 entity
Predicate adjacentTo P224 FINISHED
Object Cour du Carrousel E188799 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: Cour du Carrousel | Statement: [Cour Napoléon, adjacentTo, Cour du Carrousel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cour du Carrousel
Context triple: [Cour Napoléon, adjacentTo, Cour du Carrousel]
  • A. Place du Carrousel chosen
    Place du Carrousel is a historic public square in central Paris, located between the Louvre Museum and the Tuileries Garden and known for the Arc de Triomphe du Carrousel.
  • B. Place du Grand Jardin
    Place du Grand Jardin is the central town square of Vence in southeastern France, known for its lively markets, cafés, and cultural events.
  • C. 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.
  • D. Quai de Grenelle
    Quai de Grenelle is a riverside thoroughfare along the Seine in Paris’s 15th arrondissement, known for its modern high-rise buildings and proximity to the Eiffel Tower.
  • E. Quai du Général-Guisan
    Quai du Général-Guisan is a prominent lakeside promenade and roadway along Lake Geneva in the city of Geneva, Switzerland.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb5445848190bbc6dc1236e9f749 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ac8a0081909cbb1187513bfc56 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:44 p.m.