Triple

T22307322
Position Surface form Disambiguated ID Type / Status
Subject Petit-Rhône E551413 entity
Predicate flowsThrough P225 FINISHED
Object Camargue 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: Camargue | Statement: [Petit-Rhône, flowsThrough, Camargue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camargue
Context triple: [Petit-Rhône, flowsThrough, Camargue]
  • A. Camargue chosen
    Camargue is a vast wetland region in southern France known for its salt marshes, wild white horses, black bulls, and rich birdlife including flamingos.
  • B. Port Camargue
    Port Camargue is a large Mediterranean marina in southern France, known as one of Europe’s biggest pleasure-boat harbors and a major center for nautical tourism.
  • C. Val-ès-Dunes
    Val-ès-Dunes is a locality in Normandy, France, historically notable as the site of the 1047 Battle of Val-ès-Dunes that helped consolidate the power of William the Conqueror.
  • D. Dombes
    Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
  • E. Montpellier plain
    The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574bccb08190a6236dd14cf0fc5b completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.