Triple
T19826791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège Marais de Villiers |
E476345
|
entity |
| Predicate | hasCommuneStatus |
P51099
|
FINISHED |
| Object |
commune of Saint-Leu-la-Forêt
Saint-Leu-la-Forêt is a suburban commune in the Val-d'Oise department in northern France, known for its residential character and proximity to Paris.
|
E1397328
|
NE FINISHED |
How this triple was built (5 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 Saint-Leu-la-Forêt | Statement: [Collège Marais de Villiers, hasCommuneStatus, commune of Saint-Leu-la-Forêt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: commune of Saint-Leu-la-Forêt Context triple: [Collège Marais de Villiers, hasCommuneStatus, commune of Saint-Leu-la-Forêt]
-
A.
commune of Saint-Brice-sous-Forêt
The commune of Saint-Brice-sous-Forêt is a suburban municipality in the northern Île-de-France region of France, known for its residential character and proximity to Paris.
-
B.
commune of Saint-Loup-sur-Semouse
The commune of Saint-Loup-sur-Semouse is a small French municipality in eastern France’s Haute-Saône department, known historically for its brush and furniture industries.
-
C.
commune of Saint-Léger
The commune of Saint-Léger is a small French municipality located in the Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
D.
commune of Saint-Martin-sur-la-Chambre
The commune of Saint-Martin-sur-la-Chambre is a small French municipality located in the Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
E.
Commune of Archamps
The Commune of Archamps is a municipality in the Haute-Savoie department of southeastern France, near the Swiss border and the city of Geneva.
- 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: commune of Saint-Leu-la-Forêt Triple: [Collège Marais de Villiers, hasCommuneStatus, commune of Saint-Leu-la-Forêt]
Generated description
Saint-Leu-la-Forêt is a suburban commune in the Val-d'Oise department in northern France, known for its residential character and proximity to Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: commune of Saint-Leu-la-Forêt Target entity description: Saint-Leu-la-Forêt is a suburban commune in the Val-d'Oise department in northern France, known for its residential character and proximity to Paris.
-
A.
commune of Saint-Brice-sous-Forêt
The commune of Saint-Brice-sous-Forêt is a suburban municipality in the northern Île-de-France region of France, known for its residential character and proximity to Paris.
-
B.
commune of Saint-Loup-sur-Semouse
The commune of Saint-Loup-sur-Semouse is a small French municipality in eastern France’s Haute-Saône department, known historically for its brush and furniture industries.
-
C.
commune of Saint-Léger
The commune of Saint-Léger is a small French municipality located in the Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
D.
commune of Saint-Martin-sur-la-Chambre
The commune of Saint-Martin-sur-la-Chambre is a small French municipality located in the Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
E.
Commune of Archamps
The Commune of Archamps is a municipality in the Haute-Savoie department of southeastern France, near the Swiss border and the city of Geneva.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommuneStatus Context triple: [Collège Marais de Villiers, hasCommuneStatus, commune of Saint-Leu-la-Forêt]
-
A.
hasCommune
chosen
Indicates a relationship where an entity is associated with, belongs to, or is located within a specific commune (municipal administrative unit).
-
B.
hasTownStatus
Indicates that an entity possesses the legal or administrative status of being recognized as a town.
-
C.
hasNeighbourhoodStatus
Indicates that an entity has a particular status, classification, or condition specifically in relation to a given neighbourhood.
-
D.
isRuralCommune
Indicates that the subject entity is classified as a rural commune, i.e., an administrative unit characterized by predominantly non-urban, countryside or village-based settlement.
-
E.
hasCivilParishStatus
Indicates that an entity holds the official administrative status or designation of a civil parish.
- F. None of above.
Provenance (6 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cb20788190b9deac6b8af6a55d |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd3f4308190879396a336026a83 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cf6713108190a887b91e26da1ca5 |
completed | May 16, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d008357081908bff9ebfbda41ba1 |
completed | May 16, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.