Triple
T36617847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewiston–Queenston Border Crossing |
E903652
|
entity |
| Predicate | tollChargedDirection |
P182158
|
FINISHED |
| Object | Canada to United States |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Canada to United States | Statement: [Lewiston–Queenston Border Crossing, tollChargedDirection, Canada to United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollChargedDirection Context triple: [Lewiston–Queenston Border Crossing, tollChargedDirection, Canada to United States]
-
A.
noTollDirection
Indicates that a specified direction or route segment does not require paying a toll.
-
B.
tollingType
Indicates the specific method or basis by which a toll, fee, or charge is applied or calculated in a given context.
-
C.
tollCollectionSide
chosen
Indicates on which side (e.g., entry or exit, or direction of travel) a toll is collected in relation to a roadway or tolling point.
-
D.
isTollRoadDestination
Indicates that a location serves as a destination reachable via a toll road or requiring travel on a toll road to access it.
-
E.
tollRoadOf
Indicates that a road segment is a toll road belonging to or associated with a particular roadway, route, or transportation network.
- F. None of above.
Provenance (3 batches)
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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.