Triple
T13655105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vauréal |
E326839
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Nesles-la-Vallée
Nesles-la-Vallée is a commune in the Val-d'Oise department in northern France, known for its rural character within the Île-de-France region.
|
E1052885
|
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: Nesles-la-Vallée | Statement: [canton of Vauréal, containsAdministrativeTerritorialEntity, Nesles-la-Vallée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesles-la-Vallée Context triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Nesles-la-Vallée]
-
A.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
B.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Celles-sur-Durolle
Celles-sur-Durolle is a commune in central France’s Puy-de-Dôme department, known historically for its cutlery and metalworking industries along the Durolle River.
-
E.
Assencières
Assencières is a small commune in the Aube department of north-central France.
- 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: Nesles-la-Vallée Triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Nesles-la-Vallée]
Generated description
Nesles-la-Vallée is a commune in the Val-d'Oise department in northern France, known for its rural character within the Île-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nesles-la-Vallée Target entity description: Nesles-la-Vallée is a commune in the Val-d'Oise department in northern France, known for its rural character within the Île-de-France region.
-
A.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
B.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Celles-sur-Durolle
Celles-sur-Durolle is a commune in central France’s Puy-de-Dôme department, known historically for its cutlery and metalworking industries along the Durolle River.
-
E.
Assencières
Assencières is a small commune in the Aube department of north-central France.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b03083c8190855a2a4ee44e4098 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:52 p.m.