Triple
T37260392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa–Argentina relations |
E924240
|
entity |
| Predicate | continentOfCountry2 |
P32469
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [South Africa–Argentina relations, continentOfCountry2, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfCountry2 Context triple: [South Africa–Argentina relations, continentOfCountry2, South America]
-
A.
continentOfCountry
chosen
Indicates that a given continent is the one on which a specified country is geographically located.
-
B.
continentOfHomeCountry
Indicates that the specified continent is the one in which the referenced entity’s home country is located.
-
C.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
D.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
E.
continentB
Indicates that the subject entity is a continent that contains or is associated with the object entity (such as a country, region, or location).
- 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_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:15 p.m.