Triple
T14556126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilaine |
E341545
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
La Roche-Bernard
La Roche-Bernard is a small historic town in western France known for its picturesque port and cliffs overlooking the Vilaine River.
|
E1109630
|
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: La Roche-Bernard | Statement: [Vilaine, passesNear, La Roche-Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Roche-Bernard Context triple: [Vilaine, passesNear, La Roche-Bernard]
-
A.
La Roche-Guyon
La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
-
D.
Chavignol
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
-
E.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
- 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: La Roche-Bernard Triple: [Vilaine, passesNear, La Roche-Bernard]
Generated description
La Roche-Bernard is a small historic town in western France known for its picturesque port and cliffs overlooking the Vilaine River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Roche-Bernard Target entity description: La Roche-Bernard is a small historic town in western France known for its picturesque port and cliffs overlooking the Vilaine River.
-
A.
La Roche-Guyon
La Roche-Guyon is a picturesque village in northern France on the banks of the Seine, known for its historic château built into limestone cliffs.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
-
D.
Chavignol
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
-
E.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
- 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_69fda9124af481908f43e3b541568e26 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb3111f488190ba93e52f0e7fdb95 |
completed | May 8, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb37acc548190ac2a9afbe332ba9c |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 10, 2026, 1:23 a.m.