Triple

T9723831
Position Surface form Disambiguated ID Type / Status
Subject Angoulême E235549 entity
Predicate hasRiver P165 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: [Angoulême, hasRiver, Charente River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charente River
Context triple: [Angoulême, hasRiver, 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e15435faa881909b1a124f8027deeb completed April 16, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:21 p.m.