Triple

T717299
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Grau-du-Roi
Grau-du-Roi is a coastal resort and fishing town in southern France known for its Mediterranean beaches and proximity to the Camargue wetlands.
E88722 NE FINISHED

How this triple was built (4 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: Grau-du-Roi | Statement: [Occitanie, containsCity, Grau-du-Roi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grau-du-Roi
Context triple: [Occitanie, containsCity, Grau-du-Roi]
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Gautreau
    Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • E. Kœnig
    Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grau-du-Roi
Triple: [Occitanie, containsCity, Grau-du-Roi]
Generated description
Grau-du-Roi is a coastal resort and fishing town in southern France known for its Mediterranean beaches and proximity to the Camargue wetlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grau-du-Roi
Target entity description: Grau-du-Roi is a coastal resort and fishing town in southern France known for its Mediterranean beaches and proximity to the Camargue wetlands.
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Gautreau
    Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • F. None of above. chosen

Provenance (5 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654de91bc819088d495c8a9cb4133 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a6570367048190835a8cc857ea2773 completed March 3, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69a6575696588190b59fc63ebf5f324a completed March 3, 2026, 3:36 a.m.
Created at: March 1, 2026, 7:37 p.m.