Triple
T1308167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matabeleland South |
E27927
|
entity |
| Predicate | countryBorderDirection |
P27801
|
FINISHED |
| Object | south |
—
|
LITERAL FINISHED |
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: south | Statement: [Matabeleland South, countryBorderDirection, south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBorderDirection Context triple: [Matabeleland South, countryBorderDirection, south]
-
A.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
B.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
C.
continentBorders
Indicates that one continent shares a land or maritime boundary directly with another continent.
-
D.
bordersToTheEast
Indicates that one entity shares a boundary with another entity and is located directly to the east of it.
-
E.
borderingCountryNearby
Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
- F. None of above. chosen
Provenance (4 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:51 p.m.