Triple
T29642098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameroon border |
E755888
|
entity |
| Predicate | separatesCountryFromCountry |
P85284
|
FINISHED |
| Object | Cameroon–Nigeria |
—
|
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: Cameroon–Nigeria | Statement: [Cameroon border, separatesCountryFromCountry, Cameroon–Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatesCountryFromCountry Context triple: [Cameroon border, separatesCountryFromCountry, Cameroon–Nigeria]
-
A.
separatedCountry
Indicates that one country has been divided from another country, typically through political, territorial, or administrative separation.
-
B.
geographicallySeparatedFrom
Indicates that two places or regions are distinct and apart from each other in physical location or geographic space.
-
C.
separatesTerritoryOf
chosen
Indicates that one entity serves as a boundary or divider between the territories or domains of two other entities.
-
D.
separateCustomsTerritoryFrom
Indicates that one entity is formally distinguished and treated as a distinct customs territory from another for trade and customs purposes.
-
E.
betweenCountry
Indicates a relationship or interaction that involves or occurs among two or more countries.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 6:47 p.m.