Triple
T10754777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen tramway |
E253661
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Bois-Guillaume
Bois-Guillaume is a suburban commune located near Rouen in northern France, known for its residential character and proximity to the city.
|
E884436
|
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: Bois-Guillaume | Statement: [Rouen tramway, serves, Bois-Guillaume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bois-Guillaume Context triple: [Rouen tramway, serves, Bois-Guillaume]
-
A.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
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.
-
D.
des Groseilliers
des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
-
E.
Grenier
Grenier is a French-origin surname borne by various notable individuals in fields such as acting, politics, and the arts.
- 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: Bois-Guillaume Triple: [Rouen tramway, serves, Bois-Guillaume]
Generated description
Bois-Guillaume is a suburban commune located near Rouen in northern France, known for its residential character and proximity to the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bois-Guillaume Target entity description: Bois-Guillaume is a suburban commune located near Rouen in northern France, known for its residential character and proximity to the city.
-
A.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
C.
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.
-
D.
des Groseilliers
des Groseilliers is the surname of Médard des Groseilliers, a 17th-century French explorer and fur trader influential in the early North American fur trade.
-
E.
Grenier
Grenier is a French-origin surname borne by various notable individuals in fields such as acting, politics, and the arts.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9d0f688190a9be024929d2f960 |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de2338b2cc8190ad40ff9a421a4152 |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2dff4a048190823c8b5f1f7ea548 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:15 p.m.