Triple
T11310908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black South African |
E267831
|
entity |
| Predicate | populationProportionInSouthAfrica |
P62280
|
FINISHED |
| Object | majority |
—
|
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: majority | Statement: [Black South African, populationProportionInSouthAfrica, majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationProportionInSouthAfrica Context triple: [Black South African, populationProportionInSouthAfrica, majority]
-
A.
populationGroupClassificationApartheid
Indicates the classification of a population group under an apartheid system, specifying how people are segregated or categorized by law or policy.
-
B.
positionOnApartheid
Indicates a stance, opinion, or policy that an entity holds regarding apartheid.
-
C.
racialComposition
chosen
Indicates the proportional makeup of different racial groups within a given population or entity.
-
D.
legalStatusUnderApartheid
Indicates the legal classification or rights a person or group held under apartheid-era laws and policies.
-
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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.