Triple

T14431448
Position Surface form Disambiguated ID Type / Status
Subject Château des Baux E357837 entity
Predicate hasViewOf P854 FINISHED
Object Camargue plain 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: Camargue plain | Statement: [Château des Baux, hasViewOf, Camargue plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camargue plain
Context triple: [Château des Baux, hasViewOf, Camargue plain]
  • 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. 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.
  • C. 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.
  • D. Béziers plain
    The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
  • E. Baie de Somme wetlands
    The Baie de Somme wetlands are a vast coastal estuary in northern France renowned for their rich biodiversity, migratory bird populations, and scenic tidal landscapes.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd3e6c48190b4fc3794202a0c3f completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.