Triple
T13655098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vauréal |
E326839
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Épiais-Rhus
Épiais-Rhus is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
|
E1053154
|
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: Épiais-Rhus | Statement: [canton of Vauréal, containsAdministrativeTerritorialEntity, Épiais-Rhus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Épiais-Rhus Context triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Épiais-Rhus]
-
A.
Parempuyre
Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
-
B.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
C.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
D.
Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
-
E.
Plancenoit
Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
- 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: Épiais-Rhus Triple: [canton of Vauréal, containsAdministrativeTerritorialEntity, Épiais-Rhus]
Generated description
Épiais-Rhus is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Épiais-Rhus Target entity description: Épiais-Rhus is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
A.
Parempuyre
Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
-
B.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
C.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
D.
Cernières
Cernières is a small locality situated within the canton of Breteuil in northern France.
-
E.
Plancenoit
Plancenoit is a village in Walloon Brabant, Belgium, best known as a key battlefield site during the Battle of Waterloo in 1815.
- 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_69f78d6f02c48190a8f3bc4cb71910a0 |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:52 p.m.