Triple
T14556143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ille |
E341546
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Saint-Germain-sur-Ille
Saint-Germain-sur-Ille is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
|
E1198924
|
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: Saint-Germain-sur-Ille | Statement: [Ille, passesThrough, Saint-Germain-sur-Ille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Germain-sur-Ille Context triple: [Ille, passesThrough, Saint-Germain-sur-Ille]
-
A.
Bourges
Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
-
B.
Montreuil-sur-Ille
Montreuil-sur-Ille is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
C.
Blois
Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
-
D.
Cholet
Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
-
E.
Saumur
Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
- 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: Saint-Germain-sur-Ille Triple: [Ille, passesThrough, Saint-Germain-sur-Ille]
Generated description
Saint-Germain-sur-Ille is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint-Germain-sur-Ille Target entity description: Saint-Germain-sur-Ille is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
A.
Bourges
Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
-
B.
Montreuil-sur-Ille
Montreuil-sur-Ille is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
C.
Blois
Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
-
D.
Cholet
Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
-
E.
Saumur
Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee0ff948190911c02f6e50ea2bc |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00007647a08190bff12da75c4a3c02 |
completed | May 10, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000e385bc819080e63ced564fe77b |
completed | May 10, 2026, 3:52 a.m. |
Created at: April 10, 2026, 1:23 a.m.