Triple

T16201420
Position Surface form Disambiguated ID Type / Status
Subject Guérande salt marshes E393209 entity
Predicate locatedNear P294 FINISHED
Object Guérande E382788 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: Guérande | Statement: [Guérande salt marshes, locatedNear, Guérande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guérande
Context triple: [Guérande salt marshes, locatedNear, Guérande]
  • A. Guérande chosen
    Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
  • B. Brouage
    Brouage is a historic fortified coastal village in southwestern France, known as the birthplace of explorer Samuel de Champlain and once an important salt-trading port.
  • C. Bénodet
    Bénodet is a seaside resort town in Brittany, France, known for its beaches, marina, and coastal access to nearby Atlantic islands.
  • D. Le Croisic
    Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
  • E. Dinard
    Dinard is a coastal resort town in northwestern France’s Brittany region, known for its Belle Époque villas and beaches along the Emerald Coast.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270aa7f08190ab37aa9ff46816fc completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecf454081909660f4ab9c556ddc completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.