Triple

T21173632
Position Surface form Disambiguated ID Type / Status
Subject François de Charette E521751 entity
Predicate placeOfBirth P1 FINISHED
Object Loire-Inférieure NE NERFINISHED

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: Loire-Inférieure | Statement: [François de Charette, placeOfBirth, Loire-Inférieure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loire-Inférieure
Context triple: [François de Charette, placeOfBirth, Loire-Inférieure]
  • A. Loire-Atlantique chosen
    Loire-Atlantique is a department in western France on the Atlantic coast, known for its capital Nantes and its historic and maritime heritage.
  • B. Maine-et-Loire
    Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
  • C. Sarthe
    Sarthe is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • D. Sarthe
    Sarthe is a department in western France known for its capital Le Mans and the famous 24 Hours of Le Mans endurance race.
  • E. Mayenne
    Mayenne is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72714d3f48190871c5e35c3887d7f completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.