Triple

T7833028
Position Surface form Disambiguated ID Type / Status
Subject House of Mayenne E181620 entity
Predicate region P40 FINISHED
Object Mayenne (province) E372757 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: Mayenne (province) | Statement: [House of Mayenne, region, Mayenne (province)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayenne (province)
Context triple: [House of Mayenne, region, Mayenne (province)]
  • A. 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.
  • B. Mayenne chosen
    Mayenne is a department in northwestern France known for its rural landscapes, historic towns, and location within the former province of Maine.
  • C. Maine-et-Loire
    Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
  • D. Eure-et-Loir
    Eure-et-Loir is a department in north-central France, located in the Centre-Val de Loire region and known for including the historic city of Chartres.
  • E. 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.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb0648bb308190a34fbcd81ff6fda2 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ccec40f5e88190bc0fbb4ad99d09c6 completed April 1, 2026, 9:58 a.m.
Created at: March 30, 2026, 4:45 p.m.