Triple
T23990146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Sault, Ontario |
E605038
|
entity |
| Predicate | nearestUSBorderCrossing |
P27684
|
FINISHED |
| Object | Cornwall–Massena International Bridge |
—
|
NE NERFINISHED |
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: Cornwall–Massena International Bridge | Statement: [Long Sault, Ontario, nearestUSBorderCrossing, Cornwall–Massena International Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestUSBorderCrossing Context triple: [Long Sault, Ontario, nearestUSBorderCrossing, Cornwall–Massena International Bridge]
-
A.
nearBorderCrossing
chosen
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
B.
isNearestI95BorderCrossingTo
Indicates that one location is the closest border crossing point to Interstate 95 relative to another specified reference location.
-
C.
borderCityOnUSSide
Indicates that a city is located on the U.S. side of an international border shared with another country.
-
D.
highestBorderCrossing
Indicates that one location is the border crossing point with the greatest elevation (or highest altitude) relative to other border crossings between the same regions or entities.
-
E.
hasRailBorderCrossing
Indicates that two places are connected by at least one official border crossing that is served by rail transport.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38b37648190afb003cded3a7484 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:37 p.m.