Triple
T36723929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cunene Province |
E907143
|
entity |
| Predicate | borderDirectionFromNamibia |
P201296
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Cunene Province, borderDirectionFromNamibia, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderDirectionFromNamibia Context triple: [Cunene Province, borderDirectionFromNamibia, north]
-
A.
borderTypeToNiger
Indicates the type or nature of the border that an entity shares with Niger.
-
B.
countryBorderDirection
Indicates the cardinal or relative direction in which one country lies in relation to the border it shares with another country.
-
C.
borderTypeWithSouthAfrica
Indicates the type or nature of the border that an entity shares with South Africa.
-
D.
borderTypeWithSouthSudan
Indicates the type or nature of the border that an entity shares with South Sudan.
-
E.
nearbyCountryTownOnNamibiaSide
Indicates that a town is located near a country border and lies on the side belonging to Namibia.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
| PDg | Predicate description generation | batch_69ffe6e21f748190a18dfe0878d397f7 |
completed | May 10, 2026, 2:01 a.m. |
Created at: May 3, 2026, 4:12 p.m.