Triple

T16364752
Position Surface form Disambiguated ID Type / Status
Subject Château de Cognac E397405 entity
Predicate hasView P854 FINISHED
Object Charente River E298483 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: Charente River | Statement: [Château de Cognac, hasView, Charente River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charente River
Context triple: [Château de Cognac, hasView, Charente River]
  • A. Vendée River
    The Vendée River is a waterway in western France that flows through the Vendée department and lends its name to the region.
  • B. Charente chosen
    Charente is a department in southwestern France known for its historic towns, cognac production, and scenic river landscapes.
  • C. Dordogne River
    The Dordogne River is a major river in south-central and southwestern France, renowned for its scenic valleys, historic towns, and role in the region’s cultural and natural heritage.
  • D. Charentonne River
    The Charentonne River is a watercourse in northern France that flows through the town of Bernay and contributes to the region’s rural and historical landscape.
  • E. Thouet River
    The Thouet River is a tributary of the Loire in western France, flowing through the Deux-Sèvres department and several historic towns before joining the Loire near Saumur.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3bb5e481909669164a37d76b19 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d27712081908530bbf0d9d47e1f completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:08 a.m.