Triple

T6363749
Position Surface form Disambiguated ID Type / Status
Subject Léon Walras E143174 entity
Predicate placeOfBirth P1 FINISHED
Object Évreux, France E573634 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: Évreux, France | Statement: [Léon Walras, placeOfBirth, Évreux, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Évreux, France
Context triple: [Léon Walras, placeOfBirth, Évreux, France]
  • A. Evreux, France chosen
    Evreux is a historic town in the Normandy region of northern France, known for its Gothic cathedral and role as an administrative and cultural center.
  • B. Bourges, France
    Bourges, France is a historic city in central France known for its well-preserved medieval architecture and the UNESCO-listed Bourges Cathedral.
  • C. Blois, France
    Blois, France is a historic city on the Loire River known for its Renaissance château and as the birthplace of King Stephen of England.
  • D. Mont-Saint-Aignan, France
    Mont-Saint-Aignan, France is a suburban commune near Rouen in Normandy, known as a residential and educational center and as the birthplace of legendary cyclist Jacques Anquetil.
  • E. Val-de-Reuil, France
    Val-de-Reuil is a planned new town in the Eure department of Normandy in northern France, known for its modern urban design and industrial and technological activities.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680d51a4819098a6bcd3dfd73be4 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.