Triple
T35321308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katuna border post |
E1020045
|
entity |
| Predicate | oppositeSideLocatedIn |
P3232
|
FINISHED |
| Object | Northern Province of Rwanda |
—
|
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: Northern Province of Rwanda | Statement: [Katuna border post, oppositeSideLocatedIn, Northern Province of Rwanda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositeSideLocatedIn Context triple: [Katuna border post, oppositeSideLocatedIn, Northern Province of Rwanda]
-
A.
opposingLocation
chosen
Indicates that two entities are located directly opposite each other, typically across a defined reference such as a street, corridor, or boundary.
-
B.
situatedOnSideOf
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
C.
locationSide
Indicates that one entity is positioned on a particular side (e.g., left, right, front, back) relative to another entity or reference point.
-
D.
isBSideOf
Indicates that one entity is located on the B side or secondary face of another entity, typically in a two-sided or dual-orientation context.
-
E.
oppositeShoreFrom
Indicates that two locations are situated on facing sides of the same body of water or shoreline, directly across from 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:03 p.m.