Triple
T1620511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African general election, 1989 |
E35019
|
entity |
| Predicate | excludedFromFranchise |
P31016
|
FINISHED |
| Object | Black African 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: Black African majority | Statement: [South African general election, 1989, excludedFromFranchise, Black African majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludedFromFranchise Context triple: [South African general election, 1989, excludedFromFranchise, Black African majority]
-
A.
losingFranchise
Indicates that one entity ceases to hold or control a franchise previously granted to it by another entity.
-
B.
associatedFranchise
Indicates a relationship where one entity is linked to, or belongs within, a particular franchise or franchise universe.
-
C.
hadFranchise
Indicates that one entity possessed or operated a franchise right or franchise unit of another entity.
-
D.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
E.
affectedFranchise
Indicates that one entity has an impact on, or brings about a change in the status or condition of, a franchise.
- F. None of above. chosen
Provenance (4 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99ca48c888190876500df1a885c11 |
completed | March 5, 2026, 3:09 p.m. |
Created at: March 4, 2026, 7:28 p.m.