Triple

T2675100
Position Surface form Disambiguated ID Type / Status
Subject Plateau de Millevaches E56439 entity
Predicate drainedBy P165 FINISHED
Object Vienne River E252485 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: Vienne River | Statement: [Plateau de Millevaches, drainedBy, Vienne River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienne River
Context triple: [Plateau de Millevaches, drainedBy, Vienne River]
  • A. Vienne River chosen
    The Vienne River is a major waterway in west-central France that flows through cities such as Limoges before joining the Loire.
  • B. Doux River
    The Doux River is a watercourse in southeastern France that flows through the historical Vivarais region of the Ardèche.
  • C. Indre River
    The Indre River is a tributary of the Loire in central France, known for flowing through the historic Touraine region and its picturesque rural landscapes.
  • D. Bienne River
    The Bienne River is a watercourse in eastern France that flows through the Jura region before joining the Ain River.
  • E. Orthon River
    The Orthon River is a waterway in the Pando Department of northern Bolivia, forming part of the region’s Amazonian river system.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b3530c819093942cc985f814ef completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:54 p.m.