Triple

T3327310
Position Surface form Disambiguated ID Type / Status
Subject Mayenne E69945 entity
Predicate flowsThrough P225 FINISHED
Object Mayenne (department) E69945 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 (department) | Statement: [Mayenne, flowsThrough, Mayenne (department)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayenne (department)
Context triple: [Mayenne, flowsThrough, Mayenne (department)]
  • A. Mayenne chosen
    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. Sarthe department
    The Sarthe department is an administrative region in northwestern France known for its historic city of Le Mans and its famous 24 Hours of Le Mans endurance car race.
  • C. 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.
  • D. 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.
  • E. Sarthe
    Sarthe is a department in western France known for its capital Le Mans and the famous 24 Hours of Le Mans endurance race.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb819688190bb6198ac43f48449 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:12 p.m.