Triple
T18961238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Sèvres |
E463916
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | commune of Boulogne-Billancourt |
—
|
NE NERFINISHED |
How this triple was built (3 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: commune of Boulogne-Billancourt | Statement: [Pont de Sèvres, serves, commune of Boulogne-Billancourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: commune of Boulogne-Billancourt Context triple: [Pont de Sèvres, serves, commune of Boulogne-Billancourt]
-
A.
commune of Neuilly-sur-Seine
The commune of Neuilly-sur-Seine is an affluent suburban municipality just west of central Paris, known for its upscale residential neighborhoods, corporate headquarters, and proximity to the Bois de Boulogne and La Défense business district.
-
B.
commune of Saint-Maur-des-Fossés
The commune of Saint-Maur-des-Fossés is a suburban municipality in the southeastern outskirts of Paris, France, known for its residential character and location within a loop of the Marne River.
-
C.
Commune of Rueil-Malmaison
The Commune of Rueil-Malmaison is a suburban municipality in the western outskirts of Paris, France, known for its historical ties to Napoleon and Joséphine and its blend of residential neighborhoods and business districts.
-
D.
commune of Le Kremlin-Bicêtre
The commune of Le Kremlin-Bicêtre is a suburban municipality just south of Paris, France, known for its dense urban character and proximity to the capital.
-
E.
commune of Levallois-Perret
The commune of Levallois-Perret is a densely populated suburban municipality just northwest of central Paris, known for its residential character and role in the Paris metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: commune of Boulogne-Billancourt Target entity description: The commune of Boulogne-Billancourt is a densely populated suburban municipality just southwest of central Paris, known for its residential neighborhoods, media and business districts, and proximity to the Seine.
-
A.
commune of Neuilly-sur-Seine
The commune of Neuilly-sur-Seine is an affluent suburban municipality just west of central Paris, known for its upscale residential neighborhoods, corporate headquarters, and proximity to the Bois de Boulogne and La Défense business district.
-
B.
commune of Saint-Maur-des-Fossés
The commune of Saint-Maur-des-Fossés is a suburban municipality in the southeastern outskirts of Paris, France, known for its residential character and location within a loop of the Marne River.
-
C.
Commune of Rueil-Malmaison
The Commune of Rueil-Malmaison is a suburban municipality in the western outskirts of Paris, France, known for its historical ties to Napoleon and Joséphine and its blend of residential neighborhoods and business districts.
-
D.
commune of Le Kremlin-Bicêtre
The commune of Le Kremlin-Bicêtre is a suburban municipality just south of Paris, France, known for its dense urban character and proximity to the capital.
-
E.
commune of Levallois-Perret
The commune of Levallois-Perret is a densely populated suburban municipality just northwest of central Paris, known for its residential character and role in the Paris metropolitan area.
- F. None of above. chosen
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d2b1c08190a4a32036c70c7746 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon