Triple

T19419550
Position Surface form Disambiguated ID Type / Status
Subject Nîmes-Alès-Camargue-Cévennes Airport E485811 entity
Predicate servesRegion P82 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: [Nîmes-Alès-Camargue-Cévennes Airport, servesRegion, Camargue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camargue
Context triple: [Nîmes-Alès-Camargue-Cévennes Airport, servesRegion, 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. Dombes
    Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
  • D. 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.
  • E. Béziers plain
    The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63213b6ec8190b89982b554a0f6e7 completed April 20, 2026, 2:02 p.m.
Created at: April 10, 2026, 1:37 p.m.