Triple
T14609888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Falls station (US) |
E342928
|
entity |
| Predicate | isBorderStationFor |
P109915
|
FINISHED |
| Object | United States–Canada rail traffic |
—
|
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: United States–Canada rail traffic | Statement: [Niagara Falls station (US), isBorderStationFor, United States–Canada rail traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBorderStationFor Context triple: [Niagara Falls station (US), isBorderStationFor, United States–Canada rail traffic]
-
A.
hasBorderRailwayStationWith
chosen
Indicates that two regions share a common border at which there is a railway station connecting or serving both sides.
-
B.
hasBoundaryStations
Indicates that an entity is associated with specific stations that mark its boundary or endpoints.
-
C.
hasAdjacentStationOnBorderlandsLine
Indicates that one station is directly next to another station along the Borderlands Line.
-
D.
isPassengerStationFor
Indicates that a station serves as a boarding and alighting point for passengers on a particular transportation line or service.
-
E.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.