Triple
T12396649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Saint-Nazaire |
E296132
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rouans
Rouans is a commune in western France’s Loire-Atlantique department, known for its rural character and proximity to the Loire estuary.
|
E992962
|
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: Rouans | Statement: [arrondissement of Saint-Nazaire, contains, Rouans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rouans Context triple: [arrondissement of Saint-Nazaire, contains, Rouans]
-
A.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
-
B.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
C.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
Groslay
Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
- 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: Rouans Triple: [arrondissement of Saint-Nazaire, contains, Rouans]
Generated description
Rouans is a commune in western France’s Loire-Atlantique department, known for its rural character and proximity to the Loire estuary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rouans Target entity description: Rouans is a commune in western France’s Loire-Atlantique department, known for its rural character and proximity to the Loire estuary.
-
A.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
-
B.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
C.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
Groslay
Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea28b508190a2467b9af195e4ed |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f661369d608190b7b4f8b2bcf6e9b3 |
completed | May 2, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f661b369fc81909ced522d7057589e |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 8, 2026, 9:54 p.m.