Triple

T14240833
Position Surface form Disambiguated ID Type / Status
Subject Vézère River E352998 entity
Predicate mouthLocation P417 FINISHED
Object Dordogne River E59810 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: Dordogne River | Statement: [Vézère River, mouthLocation, Dordogne River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dordogne River
Context triple: [Vézère River, mouthLocation, Dordogne River]
  • A. Dordogne River chosen
    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.
  • B. 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.
  • C. Vézère River
    The Vézère River is a tributary of the Dordogne in southwestern France, renowned for the prehistoric cave sites and rock shelters that line its valley.
  • D. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • E. Sée River
    The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15f2cd8819085f949fa5122af2a completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:08 a.m.