Triple
T1605267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of National Unity (South Africa) |
E34486
|
entity |
| Predicate | cabinetSeat |
P30226
|
FINISHED |
| Object | Cape Town |
E24410
|
NE FINISHED |
How this triple was built (3 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: Cape Town | Statement: [Government of National Unity (South Africa), cabinetSeat, Cape Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cape Town Context triple: [Government of National Unity (South Africa), cabinetSeat, Cape Town]
-
A.
Cape Town
chosen
Cape Town is a major coastal city in South Africa known for its iconic Table Mountain, diverse culture, and role as the country’s legislative capital.
-
B.
Durban
Durban is a major coastal city in South Africa known for its busy port, subtropical climate, and significant Indian community.
-
C.
Port Elizabeth
Port Elizabeth is a large coastal city in South Africa known for its major seaport, automotive industry, and popular beaches along Algoa Bay.
-
D.
Johannesburg, South Africa
Johannesburg, South Africa is the country’s largest city and economic hub, known for its role in the gold mining industry and as a major urban center in Gauteng province.
-
E.
Bloemfontein
Bloemfontein is a major South African city known as the seat of the country’s highest courts and one of its three national capitals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinetSeat Context triple: [Government of National Unity (South Africa), cabinetSeat, Cape Town]
-
A.
cabinetType
Indicates the specific kind or category of cabinet associated with an entity.
-
B.
cabinet
Indicates that one entity serves as a cabinet (a storage or enclosure unit) for another entity.
-
C.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
-
D.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
-
E.
canChair
Indicates that an entity has the authority or capability to preside over, lead, or chair a meeting, committee, or similar group.
- F. None of above. chosen
Provenance (5 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef06b043481909eb0195456f1f7fa |
completed | March 9, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.