Triple
T7732115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest |
E175283
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
|
E684035
|
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: Guérard | Statement: [Soest, hasTwinTown, Guérard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guérard Context triple: [Soest, hasTwinTown, Guérard]
-
A.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
B.
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.
-
C.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Tourangeau
Tourangeau is the French term for a person from the city of Tours in central France, particularly associated with the historic Touraine region.
-
E.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
- 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: Guérard Triple: [Soest, hasTwinTown, Guérard]
Generated description
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guérard Target entity description: Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
A.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
B.
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.
-
C.
Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Tourangeau
Tourangeau is the French term for a person from the city of Tours in central France, particularly associated with the historic Touraine region.
-
E.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70336aafc819099a060950ab8922f |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b531a7f481908e4ff7f15b851070 |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b5fbda848190b09172740371fd47 |
completed | March 29, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b675ddb0819085d79dbba560d08f |
completed | March 29, 2026, 5:19 a.m. |
Created at: March 27, 2026, 4:06 p.m.