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.