Triple

T6951429
Position Surface form Disambiguated ID Type / Status
Subject Cours Saleya E160932 entity
Predicate hasNameInLanguage P15 FINISHED
Object Cours Saleya (French) E160932 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: Cours Saleya (French) | Statement: [Cours Saleya, hasNameInLanguage, Cours Saleya (French)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cours Saleya (French)
Context triple: [Cours Saleya, hasNameInLanguage, Cours Saleya (French)]
  • A. Cours Saleya chosen
    Cours Saleya is a famous open-air market square in Nice, France, known for its vibrant flower, food, and antique markets surrounded by cafés and historic buildings.
  • B. Cours de Vincennes
    Cours de Vincennes is a major Parisian thoroughfare in eastern Paris that serves as a key gateway between the city and its eastern suburbs.
  • C. École de la Gradelle
    École de la Gradelle is a local primary school serving the community of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • D. Cours Lafayette
    Cours Lafayette is a major thoroughfare in Lyon, France, known for connecting central districts and serving as an important commercial and transit axis in the city.
  • E. Cours Florent
    Cours Florent is a prestigious private drama school in Paris renowned for training many prominent French and international actors.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dab041748190851c5221b6b740e1 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758797228819089362f137e9eb747 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.