Triple
T37260221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–South Korea relations |
E924237
|
entity |
| Predicate | SouthAfricanEmbassyLocation |
P187351
|
FINISHED |
| Object | Seoul |
—
|
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: Seoul | Statement: [South Africa–South Korea relations, SouthAfricanEmbassyLocation, Seoul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthAfricanEmbassyLocation Context triple: [South Africa–South Korea relations, SouthAfricanEmbassyLocation, Seoul]
-
A.
USEmbassyLocation
Indicates that a specified location is the site where the United States embassy for a particular country is situated.
-
B.
chartPositionSouthAfrica
Indicates the position or ranking something holds on a chart or listing specifically within South Africa.
-
C.
embassyOfUnitedKingdomLocation
Indicates that the location specified is where the embassy of the United Kingdom is situated.
-
D.
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.
-
E.
australianEmbassyLocation
Indicates the location where an Australian embassy is situated or hosted.
- 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_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb41333b548190912cb238ffc271c9 |
completed | May 6, 2026, 1:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.