Triple
T6318703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cormeilles, France |
E141680
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Eure
Eure is a department in the Normandy region of northern France, known for its rural landscapes, historic towns, and proximity to Paris.
|
E583530
|
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: Eure | Statement: [Cormeilles, France, partOf, Eure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eure Context triple: [Cormeilles, France, partOf, Eure]
-
A.
Eure
Eure is a river in northern France that flows through the regions of Normandy and Centre-Val de Loire before joining the Seine.
-
B.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
C.
Geul
The Geul is a small river in the southeastern Netherlands and eastern Belgium, known for flowing through the hilly Limburg landscape and picturesque villages before joining the Meuse.
-
D.
Ems
The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
-
E.
Ems
Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
- 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: Eure Triple: [Cormeilles, France, partOf, Eure]
Generated description
Eure is a department in the Normandy region of northern France, known for its rural landscapes, historic towns, and proximity to Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eure Target entity description: Eure is a department in the Normandy region of northern France, known for its rural landscapes, historic towns, and proximity to Paris.
-
A.
Eure
Eure is a river in northern France that flows through the regions of Normandy and Centre-Val de Loire before joining the Seine.
-
B.
Jever
Jever is a historic town in Lower Saxony, Germany, best known for its traditional North German architecture and the Jever Pilsener brewery.
-
C.
Geul
The Geul is a small river in the southeastern Netherlands and eastern Belgium, known for flowing through the hilly Limburg landscape and picturesque villages before joining the Meuse.
-
D.
Ems
Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
-
E.
Ems
The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e47ecea08190828af72d30d69a8c |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e65cb59c8190a6c43dfcf3da7334 |
completed | March 27, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e723fbd08190b41d3089e4af117e |
completed | March 27, 2026, 2:10 a.m. |
Created at: March 22, 2026, 4:29 p.m.