Triple
T37260358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–Argentina relations |
E924240
|
entity |
| Predicate | SouthAfricanEmbassyLocationCity |
P187351
|
FINISHED |
| Object | Buenos Aires |
—
|
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: Buenos Aires | Statement: [South Africa–Argentina relations, SouthAfricanEmbassyLocationCity, Buenos Aires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthAfricanEmbassyLocationCity Context triple: [South Africa–Argentina relations, SouthAfricanEmbassyLocationCity, Buenos Aires]
-
A.
SouthAfricanEmbassyLocation
chosen
Indicates the location where the South African embassy is situated or hosted.
-
B.
ArgentineEmbassyLocationCity
Indicates that a specified city is the location of an Argentine embassy.
-
C.
SouthAfricaIs
Indicates that something has the status, location, or identity of being in or part of South Africa.
-
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.
distanceFromCapeTown
Indicates the measured distance between a given location and Cape Town.
- 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_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:15 p.m.