Triple
T9713571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga trade route |
E235080
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medieval trade route |
C12481
|
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: medieval trade route Context triple: [Volga trade route, instanceOf, medieval trade route]
-
A.
medieval trading network
chosen
A medieval trading network is an interconnected system of routes, markets, and merchants that facilitated the exchange of goods, money, and information across regions during the Middle Ages.
-
B.
transalpine trade route
A transalpine trade route is a transportation corridor that crosses the Alps to facilitate the movement of goods, people, and cultural exchange between regions on either side of the mountain range.
-
C.
transoceanic trade network
A transoceanic trade network is a system of interconnected maritime routes, ports, merchants, and institutions that facilitate the large-scale exchange of goods, people, capital, and ideas across oceans between distant regions of the world.
-
D.
ancient route listing
An ancient route listing is a documented catalog of historical travel paths, roads, or trade routes, often detailing their locations, connections, and significance in past civilizations.
-
E.
Infrastructure for trade
Infrastructure for trade encompasses the physical, digital, and institutional systems—such as transportation networks, ports, logistics hubs, communication technologies, and regulatory frameworks—that enable the efficient exchange of goods and services across regions and markets.
- F. None of above.
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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:19 p.m.