Triple
T22559900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue Roume |
E557783
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | road in Dakar |
C46507
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: road in Dakar Context triple: [Avenue Roume, instanceOf, road in Dakar]
-
A.
road in Namibia
A road in Namibia is a transportation route traversing the country’s diverse landscapes—from deserts and savannas to coastal plains—facilitating movement of people, goods, and services between towns, rural areas, and neighboring countries.
-
B.
road in Dubai
A road in Dubai is a modern, well-maintained transportation route designed to support high traffic volumes, integrate with advanced infrastructure, and connect key urban, commercial, and tourist areas across the city.
-
C.
road in South Africa
A road in South Africa is a constructed transportation route, ranging from national highways to local streets, designed to support vehicular and pedestrian movement while adhering to the country’s specific traffic laws, signage standards, and infrastructural conditions.
-
D.
road in Jakarta
A road in Jakarta is a public transportation corridor within the city’s dense urban network, accommodating mixed traffic—from cars and motorcycles to buses and informal transport—while connecting residential, commercial, and industrial areas amid frequent congestion and diverse street-side activities.
-
E.
street in Marseille
A street in Marseille is a public urban thoroughfare within the city of Marseille, typically lined with Mediterranean-style buildings, local shops, and cultural landmarks that reflect the city's coastal and multicultural character.
- F. None of above. chosen
Provenance (1 batch)
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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:52 p.m.