Triple

T23221124
Position Surface form Disambiguated ID Type / Status
Subject Nizerand River E580894 entity
Predicate mouthOf P1008 FINISHED
Object Azergues River NE NERFINISHED

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: Azergues River | Statement: [Nizerand River, mouthOf, Azergues River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azergues River
Context triple: [Nizerand River, mouthOf, Azergues River]
  • A. Azergues River chosen
    The Azergues River is a tributary waterway in eastern France that flows through the Beaujolais region before joining the Saône River.
  • B. Beuvron River
    The Beuvron River is a watercourse in north-central France that flows through the Loiret department as a tributary of the Loire.
  • C. Arroux River
    The Arroux River is a waterway in central France that flows through the Burgundy region, including the historic town of Autun, before joining the Loire River.
  • D. Aure River
    The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
  • E. Cagne River
    The Cagne River is a small coastal river in southeastern France that flows through the Alpes-Maritimes department before emptying into the Mediterranean Sea near the town of Cagnes-sur-Mer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1922924308190a26b00e09ce60ecd completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.