Triple
T11364695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TravelCenters of America |
E269172
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | truck stop operator |
C30056
|
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: truck stop operator Context triple: [TravelCenters of America, instanceOf, truck stop operator]
-
A.
truck stop chain
A truck stop chain is a network of roadside service centers, typically located along major highways, that provide fuel, parking, food, rest facilities, and other amenities tailored to long-haul truck drivers and travelers.
-
B.
transport entrepreneur
A transport entrepreneur is an individual who identifies, develops, and manages innovative business opportunities in the movement of people or goods, leveraging logistics, technology, and market insights to create efficient and profitable transportation solutions.
-
C.
steamboat operator
A steamboat operator is a person responsible for navigating, controlling, and overseeing the safe and efficient operation of a steamboat on waterways.
-
D.
transport infrastructure operator
A transport infrastructure operator is an entity responsible for managing, maintaining, and regulating transportation networks and facilities such as roads, railways, ports, or airports to ensure safe and efficient movement of people and goods.
-
E.
toll road operator
A toll road operator is an entity responsible for managing, maintaining, and collecting user fees on designated roadways or bridges, often under government concession or private ownership.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:33 p.m.