Triple
T13972401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remich |
E336096
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Cabries
Cabries is a commune in the Bouches-du-Rhône department of southern France, known for its Provençal village character and proximity to Aix-en-Provence and Marseille.
|
E1071892
|
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: Cabries | Statement: [Remich, hasTwinTown, Cabries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabries Context triple: [Remich, hasTwinTown, Cabries]
-
A.
Le Haillan
Le Haillan is a suburban commune in southwestern France, located near the city of Bordeaux in the Gironde department.
-
B.
Vallet
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
-
C.
La Madrague
"La Madrague" is a 1963 French chanson closely associated with Brigitte Bardot, evoking the carefree atmosphere of her seaside home in Saint-Tropez.
-
D.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
-
E.
Porquerolles
Porquerolles is a Mediterranean island off the southern coast of France, renowned for its unspoiled beaches, pine forests, and protected natural landscapes within the Îles d'Hyères archipelago.
- 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: Cabries Triple: [Remich, hasTwinTown, Cabries]
Generated description
Cabries is a commune in the Bouches-du-Rhône department of southern France, known for its Provençal village character and proximity to Aix-en-Provence and Marseille.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabries Target entity description: Cabries is a commune in the Bouches-du-Rhône department of southern France, known for its Provençal village character and proximity to Aix-en-Provence and Marseille.
-
A.
Le Haillan
Le Haillan is a suburban commune in southwestern France, located near the city of Bordeaux in the Gironde department.
-
B.
Vallet
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
-
C.
La Madrague
"La Madrague" is a 1963 French chanson closely associated with Brigitte Bardot, evoking the carefree atmosphere of her seaside home in Saint-Tropez.
-
D.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
-
E.
Porquerolles
Porquerolles is a Mediterranean island off the southern coast of France, renowned for its unspoiled beaches, pine forests, and protected natural landscapes within the Îles d'Hyères archipelago.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5918348819084fa4235eec6eee0 |
completed | May 6, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6b5e4f4819088e8a0629e17e4cc |
completed | May 6, 2026, 8:38 p.m. |
Created at: April 9, 2026, 10:18 p.m.