Triple
T5370054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare de Nantes |
E108824
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Le Croisic
Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
|
E515724
|
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: Le Croisic | Statement: [Gare de Nantes, connectsTo, Le Croisic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Croisic Context triple: [Gare de Nantes, connectsTo, Le Croisic]
-
A.
Guérande
Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
-
B.
Morlaix
Morlaix is a historic town and port in the Finistère department of Brittany in northwestern France, known for its picturesque old center and impressive railway viaduct.
-
C.
Luçon
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
-
D.
Vannes
Vannes is a historic coastal city in northwestern France known for its well-preserved medieval old town and harbor on the Gulf of Morbihan.
-
E.
Saint-Herblain
Saint-Herblain is a suburban commune in western France, forming part of the metropolitan area of Nantes and known for its residential neighborhoods and commercial zones.
- 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: Le Croisic Triple: [Gare de Nantes, connectsTo, Le Croisic]
Generated description
Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Croisic Target entity description: Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
-
A.
Guérande
Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
-
B.
Morlaix
Morlaix is a historic town and port in the Finistère department of Brittany in northwestern France, known for its picturesque old center and impressive railway viaduct.
-
C.
Luçon
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
-
D.
Vannes
Vannes is a historic coastal city in northwestern France known for its well-preserved medieval old town and harbor on the Gulf of Morbihan.
-
E.
Saint-Herblain
Saint-Herblain is a suburban commune in western France, forming part of the metropolitan area of Nantes and known for its residential neighborhoods and commercial zones.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86873e0c8190bf5ecede2cc2bd8b |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29307cc481908fa4d8b52711bbd4 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29d11d2c819095ce493c8866f624 |
completed | March 21, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2aa2a1688190bc41eb5e259d7d1f |
completed | March 21, 2026, 11:32 p.m. |
Created at: March 20, 2026, 2:02 p.m.