Triple
T37260233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–South Korea relations |
E924237
|
entity |
| Predicate | SouthKoreaIs |
P188511
|
FINISHED |
| Object | important Asian trading partner of South Africa |
—
|
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: important Asian trading partner of South Africa | Statement: [South Africa–South Korea relations, SouthKoreaIs, important Asian trading partner of South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthKoreaIs Context triple: [South Africa–South Korea relations, SouthKoreaIs, important Asian trading partner of South Africa]
-
A.
confederationOfSouthKorea
Indicates a political or organizational confederation that includes or is formed by South Korea.
-
B.
PohangIs
Indicates that something is identified as or classified as being Pohang.
-
C.
hangulProjectCountry
Indicates that a country is associated with or involved in a Hangul-related project.
-
D.
NorthKoreaDependence
Indicates a relationship where one party relies on or is significantly influenced by North Korea for support, resources, or strategic backing.
-
E.
resultForSouthKorea
Indicates that an outcome, result, or performance metric is associated with or recorded for South Korea.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:15 p.m.