Triple
T28062925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciskei |
E709163
|
entity |
| Predicate | establishedAsBantustan |
P69494
|
FINISHED |
| Object | 1961 |
—
|
LITERAL FINISHED |
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: 1961 | Statement: [Ciskei, establishedAsBantustan, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsBantustan Context triple: [Ciskei, establishedAsBantustan, 1961]
-
A.
residenceDuringApartheid
Indicates that an entity lived or had their primary residence in a particular place during the historical period of apartheid.
-
B.
apartheidEraHomeland
chosen
Indicates that an entity is designated as a homeland territory created or administered under South Africa’s apartheid-era system of racial segregation and governance.
-
C.
legalStatusUnderApartheid
Indicates the legal classification or rights a person or group held under apartheid-era laws and policies.
-
D.
populationGroupClassificationApartheid
Indicates the classification of a population group under an apartheid system, specifying how people are segregated or categorized by law or policy.
-
E.
legalStatusDuringApartheid
Indicates the legal classification or rights a person or group held under the laws and policies of the apartheid system.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 8:41 p.m.