Triple
T37260360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–Argentina relations |
E924240
|
entity |
| Predicate | SouthAfricanEmbassyLocationCountry |
P187677
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [South Africa–Argentina relations, SouthAfricanEmbassyLocationCountry, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthAfricanEmbassyLocationCountry Context triple: [South Africa–Argentina relations, SouthAfricanEmbassyLocationCountry, Argentina]
-
A.
SouthAfricanEmbassyLocation
Indicates the location where the South African embassy is situated or hosted.
-
B.
SouthAfricaIs
Indicates that something has the status, location, or identity of being in or part of South Africa.
-
C.
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.
-
D.
ArgentineEmbassyLocationCountry
chosen
Indicates that the specified country is the one in which a particular Argentine embassy is located.
-
E.
SouthAfricaIsMemberOf
Indicates that South Africa belongs to or holds membership in a specified organization, group, or entity.
- 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_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:15 p.m.