Triple
T37016731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannesburg |
E916101
|
entity |
| Predicate | countryBred |
—
|
GENERATED |
| Object | United States |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBred Context triple: [Johannesburg, countryBred, United States]
-
A.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
B.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
-
C.
countryIn
Indicates that one entity is geographically or politically located within the boundaries of a specified country.
-
D.
countryOn
Indicates that one country is located on or occupies the territory of another geographic entity (such as a larger region, continent, or island).
-
E.
countryDuring
Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.