Triple
T32349270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigeon Hill, Quebec |
E826547
|
entity |
| Predicate | hasNearbyInternationalCrossing |
P27684
|
FINISHED |
| Object | Quebec–Vermont local roads |
—
|
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: Quebec–Vermont local roads | Statement: [Pigeon Hill, Quebec, hasNearbyInternationalCrossing, Quebec–Vermont local roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyInternationalCrossing Context triple: [Pigeon Hill, Quebec, hasNearbyInternationalCrossing, Quebec–Vermont local roads]
-
A.
hasBorderCrossingActivity
Indicates that there is movement of people, goods, or services occurring across a shared border between two jurisdictions.
-
B.
hasBorderCrossingsType
Indicates that a border crossing is classified by a specific type or category of crossing (e.g., road, rail, pedestrian, maritime).
-
C.
nearBorderCrossing
chosen
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
D.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
-
E.
hasNoInternationalCrossing
Indicates that there is no crossing or connection between the entities that extends across international borders.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 1, 2026, 12:49 a.m.