Triple

T1379040
Position Surface form Disambiguated ID Type / Status
Subject Brigitte Macron E29294 entity
Predicate birthPlace P1 FINISHED
Object Amiens, France E58016 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: Amiens, France | Statement: [Brigitte Macron, birthPlace, Amiens, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amiens, France
Context triple: [Brigitte Macron, birthPlace, Amiens, France]
  • A. Amiens, France chosen
    Amiens, France is a historic city in northern France known for its Gothic cathedral and as the birthplace of French President Emmanuel Macron.
  • 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. Auxerre, France
    Auxerre, France is a historic city in the Burgundy region known for its medieval architecture, Gothic cathedral, and role as a cultural and economic center along the Yonne River.
  • D. Cormeilles, France
    Cormeilles, France is a small commune in the Normandy region of northern France, known for its traditional Norman architecture and rural charm.
  • E. 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.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3187f248190a5813274b0ef944d completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a9dd308190999d349f8b6297b8 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.