Triple

T16692640
Position Surface form Disambiguated ID Type / Status
Subject Le Grau-du-Roi E405630 entity
Predicate borders P224 FINISHED
Object Petite Camargue E10340 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: Petite Camargue | Statement: [Le Grau-du-Roi, borders, Petite Camargue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petite Camargue
Context triple: [Le Grau-du-Roi, borders, Petite 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. Béziers plain
    The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
  • 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. Petit Sablon
    Petit Sablon is a historic square and landscaped garden in central Brussels, Belgium, known for its ornate statues and proximity to major landmarks such as the Egmont Palace.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eaacb948190954231c9e97a4adf completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51169b881909216ab1055752978 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:19 a.m.