Triple
T3888946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea Horse Road |
E88010
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | historical trade route network |
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: historical trade route network Context triple: [Tea Horse Road, instanceOf, historical trade route network]
-
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.
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.
-
C.
transatlantic trade system
The transatlantic trade system was a network of economic exchanges linking Europe, Africa, and the Americas, involving the movement of goods, enslaved people, and raw materials across the Atlantic Ocean from the 16th to 19th centuries.
-
D.
transport infrastructure network
A transport infrastructure network is an interconnected system of physical routes and facilities—such as roads, railways, ports, and airports—designed to enable the efficient movement of people and goods across regions.
-
E.
maritime trading culture
A maritime trading culture is a society whose economy, social structures, and worldview are fundamentally shaped by seafaring commerce, long-distance exchange, and coastal or port-based networks of interaction.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.