Triple
T24349649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Kaʻahumanu Highway segments |
E613748
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | roadway segment collection |
C1129
|
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: roadway segment collection Context triple: [Queen Kaʻahumanu Highway segments, instanceOf, roadway segment collection]
-
A.
road segment
A road segment is a continuous portion of a roadway between two defined endpoints, such as intersections or junctions, characterized by uniform attributes like direction, number of lanes, and speed limit.
-
B.
highway segment
chosen
A highway segment is a continuous portion of a highway between two defined endpoints, such as interchanges, intersections, or mile markers, characterized by consistent physical and operational attributes.
-
C.
road network
A road network is an interconnected system of roads, intersections, and related infrastructure that enables the movement of vehicles and pedestrians between different locations.
-
D.
transportation corridors collection
A transportation corridors collection is an organized set of linear pathways—such as roads, railways, and transit routes—grouped for managing, analyzing, or planning movement across a region.
-
E.
railway line segment collection
A railway line segment collection represents an organized set of connected or related railway track segments treated as a single logical unit for analysis, management, or operations.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 18, 2026, 1:58 a.m.