Triple
T23565179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian border near Fortuna, North Dakota |
E579350
|
entity |
| Predicate | adjacentCountryNorth |
P120369
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [Canadian border near Fortuna, North Dakota, adjacentCountryNorth, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentCountryNorth Context triple: [Canadian border near Fortuna, North Dakota, adjacentCountryNorth, Canada]
-
A.
hasNeighboringCountryToNorth
Indicates that one country is directly adjacent to and located south of another country, which lies to its north.
-
B.
geographicallyAdjacentTo
Indicates that two geographic entities share a common boundary or are directly next to each other in space.
-
C.
borderedToNorthBy
Indicates that one entity lies directly to the north of another, sharing a common boundary along its southern edge.
-
D.
neighboringCountryBySea
Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
-
E.
borderingPoliticalEntityNorth
chosen
Indicates that one political entity lies directly to the north of, and shares a border with, another political entity.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6c2930819090bc2b95725fbf18 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:34 p.m.