Triple
T37260257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–South Korea relations |
E924237
|
entity |
| Predicate | SouthAfricaSupports |
P10546
|
FINISHED |
| Object | engagement with South Korea in multilateral forums |
—
|
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: engagement with South Korea in multilateral forums | Statement: [South Africa–South Korea relations, SouthAfricaSupports, engagement with South Korea in multilateral forums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthAfricaSupports Context triple: [South Africa–South Korea relations, SouthAfricaSupports, engagement with South Korea in multilateral forums]
-
A.
SouthAfricaIs
Indicates that something has the status, location, or identity of being in or part of South Africa.
-
B.
SouthAfricaTries
Indicates an attempt or effort made by South Africa to perform, achieve, or bring about a particular action or outcome.
-
C.
SouthAfricaIsMemberOf
Indicates that South Africa belongs to or holds membership in a specified organization, group, or entity.
-
D.
SouthAfricaScore
Indicates the score or points achieved by South Africa in a particular event, match, or evaluation.
-
E.
supportsCountry
chosen
Indicates that one entity provides assistance, endorsement, or backing to a specific country.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.