Triple
T9732252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 3 |
E235772
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Parmentier
Parmentier is a Paris Métro station in the 11th arrondissement, named after the French agronomist Antoine-Augustin Parmentier and served by Line 3.
|
E816342
|
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: Parmentier | Statement: [Paris Métro Line 3, hasStation, Parmentier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parmentier Context triple: [Paris Métro Line 3, hasStation, Parmentier]
-
A.
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
B.
Jean Bardin
Jean Bardin was an 18th-century French painter and influential art teacher known for his historical and religious compositions.
-
C.
Gustave Loiseau
Gustave Loiseau was a French Post-Impressionist painter known for his landscapes and street scenes characterized by vibrant color and a distinctive, textured brushwork.
-
D.
Lardé
Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
-
E.
Boulanger
Boulanger is the French term for a baker, a person who professionally prepares and bakes bread and other baked goods.
- 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: Parmentier Triple: [Paris Métro Line 3, hasStation, Parmentier]
Generated description
Parmentier is a Paris Métro station in the 11th arrondissement, named after the French agronomist Antoine-Augustin Parmentier and served by Line 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parmentier Target entity description: Parmentier is a Paris Métro station in the 11th arrondissement, named after the French agronomist Antoine-Augustin Parmentier and served by Line 3.
-
A.
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
B.
Jean Bardin
Jean Bardin was an 18th-century French painter and influential art teacher known for his historical and religious compositions.
-
C.
Gustave Loiseau
Gustave Loiseau was a French Post-Impressionist painter known for his landscapes and street scenes characterized by vibrant color and a distinctive, textured brushwork.
-
D.
Lardé
Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
-
E.
Boulanger
Boulanger is the French term for a baker, a person who professionally prepares and bakes bread and other baked goods.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fbbba2081909a15725a68423162 |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a065ce008190985b792302daa7cb |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:22 p.m.