Triple

T6615140
Position Surface form Disambiguated ID Type / Status
Subject Angoumois E149330 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: [Angoumois, hasRiver, Charente River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charente River
Context triple: [Angoumois, 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. Aveyron River
    The Aveyron River is a waterway in southern France known for flowing through scenic gorges and historic towns before joining the Tarn River.
  • E. Santoire River
    The Santoire River is a watercourse in south-central France that flows through the Cantal region, collecting runoff from the surrounding mountainous terrain.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af569ecc8190a9526decc745f0a0 completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006cf9e881908a7cb7a8209ed7d2 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:57 p.m.