Triple
T36240124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namibia–Angola border |
E891495
|
entity |
| Predicate | hasSouthernCountry |
P117551
|
FINISHED |
| Object | Namibia |
—
|
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: Namibia | Statement: [Namibia–Angola border, hasSouthernCountry, Namibia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSouthernCountry Context triple: [Namibia–Angola border, hasSouthernCountry, Namibia]
-
A.
hasSouthBorder
chosen
Indicates that one entity shares its southern boundary or border with another entity.
-
B.
southernTerminusCountry
Indicates the country in which the southern endpoint or terminus of something (such as a route, line, or feature) is located.
-
C.
locatedInCountrySouth
Indicates that the subject entity is geographically situated within a country that lies in the southern part of the world or a specified southern region.
-
D.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
E.
isOnSouthernPartOf
Indicates that one entity is located on the southern part or southern region of another 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4:09 p.m.