Triple
T23565161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian border near Fortuna, North Dakota |
E579350
|
entity |
| Predicate | borderWithCanadianProvince |
P88549
|
FINISHED |
| Object | Saskatchewan |
—
|
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: Saskatchewan | Statement: [Canadian border near Fortuna, North Dakota, borderWithCanadianProvince, Saskatchewan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderWithCanadianProvince Context triple: [Canadian border near Fortuna, North Dakota, borderWithCanadianProvince, Saskatchewan]
-
A.
hasBorderLengthWithCanada_km
Indicates the length, in kilometers, of the land or maritime border that an entity shares with Canada.
-
B.
bordersCanadianProvinceIndirectlyAcrossWater
Indicates that one region is separated from a Canadian province only by a body of water, such that they face each other across water rather than sharing a direct land border.
-
C.
borderingStateOrProvince
chosen
Indicates that one state or province shares a common boundary with another state or province.
-
D.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
E.
countyBorder
Indicates that two counties share a common boundary or border with each other.
- 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.