Triple
T17115699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaujours |
E415331
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Coubron
Coubron is a small suburban commune in the Seine-Saint-Denis department in the northeastern outskirts of Paris, France.
|
E1250892
|
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: Coubron | Statement: [Vaujours, borders, Coubron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coubron Context triple: [Vaujours, borders, Coubron]
-
A.
Thorntonville
Thorntonville is a small town located in Ward County in western Texas, United States.
-
B.
Cowansville
Cowansville is a locality that serves as one of the constituent subdivisions within the municipality of Vaux-sur-Sûre in Belgium.
-
C.
Cowansville
Cowansville is a small city in southern Quebec, Canada, known for its manufacturing sector and proximity to the Eastern Townships’ lakes and outdoor recreation areas.
-
D.
Vimont
Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
-
E.
Unienville
Unienville is a small commune in the Aube department of north-central France.
- 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: Coubron Triple: [Vaujours, borders, Coubron]
Generated description
Coubron is a small suburban commune in the Seine-Saint-Denis department in the northeastern outskirts of Paris, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coubron Target entity description: Coubron is a small suburban commune in the Seine-Saint-Denis department in the northeastern outskirts of Paris, France.
-
A.
Thorntonville
Thorntonville is a small town located in Ward County in western Texas, United States.
-
B.
Cowansville
Cowansville is a locality that serves as one of the constituent subdivisions within the municipality of Vaux-sur-Sûre in Belgium.
-
C.
Cowansville
Cowansville is a small city in southern Quebec, Canada, known for its manufacturing sector and proximity to the Eastern Townships’ lakes and outdoor recreation areas.
-
D.
Vimont
Vimont is the namesake of the Prix Peccot-Vimont, a French mathematical prize awarded by the Collège de France to recognize promising young mathematicians.
-
E.
Unienville
Unienville is a small commune in the Aube department of north-central France.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80528588190a877dcc6d6d3a392 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0957c081908a1902aea2f02d2a |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013b749680819097159f0fdc379f2c |
completed | May 11, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013bf9ef508190aac1155680f33eaf |
completed | May 11, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:35 a.m.