Triple
T30395176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coburn Gore border station |
E773196
|
entity |
| Predicate | servesBorderCrossingBetween |
P4105
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Coburn Gore border station, servesBorderCrossingBetween, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesBorderCrossingBetween Context triple: [Coburn Gore border station, servesBorderCrossingBetween, United States]
-
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
Indicates that an entity is located close to a border crossing point between two regions or countries.
-
D.
usesBorderCrossing
Indicates that one entity makes use of a specific border crossing point to pass from one jurisdiction or territory to another.
-
E.
hasBorderCrossing
chosen
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: April 29, 2026, 8:02 p.m.