Triple
T37300942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston–Dallas |
E925937
|
entity |
| Predicate | hasMajorEndpointStationCandidate |
—
|
GENERATED |
| Object | Dallas station area |
—
|
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: hasMajorEndpointStationCandidate Context triple: [Houston–Dallas, hasMajorEndpointStationCandidate, Dallas station area]
-
A.
hasEndpointStation
chosen
Indicates that something (such as a route, line, or service) has a specific station as one of its terminal endpoints.
-
B.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
C.
hasMajorHubIn
Indicates that an entity maintains a primary or significant operational hub or center in a specified location.
-
D.
isOneOfMajorStationsIn
Indicates that a station belongs to the set of primary or most important stations within a specified area or system.
-
E.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.