Triple
T31268824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TAQ |
E797326
|
entity |
| Predicate | relatedTransportHub |
—
|
GENERATED |
| Object | Tasqueña light rail terminal |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedTransportHub Context triple: [TAQ, relatedTransportHub, Tasqueña light rail terminal]
-
A.
transportHubType
Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
-
B.
transportationRelatedTo
Indicates a relationship where one entity is connected to another through transportation, such as serving as a means, mode, infrastructure, or service for moving people or goods.
-
C.
transportationHubType
Indicates the specific kind of transportation hub an entity is (e.g., airport, train station, bus terminal).
-
D.
transportationLinksTo
Indicates that there is a transportation connection or route enabling movement or travel between the two entities.
-
E.
transportHubScope
Indicates the extent or range of areas, routes, or services that a particular transport hub covers or connects.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:13 p.m.