Triple
T8004653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African general election, 1987 |
E186334
|
entity |
| Predicate | restrictedFranchiseTo |
P40382
|
FINISHED |
| Object | white population |
—
|
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: white population | Statement: [South African general election, 1987, restrictedFranchiseTo, white population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restrictedFranchiseTo Context triple: [South African general election, 1987, restrictedFranchiseTo, white population]
-
A.
excludedFromFranchise
Indicates that an entity is not allowed to participate in or benefit from a particular franchise or franchising arrangement.
-
B.
restrictsFacility
Indicates that one entity imposes limitations or controls on the use, access, or operation of a particular facility.
-
C.
restrictedRight
chosen
Indicates that an entity’s ability to exercise a particular right is limited, constrained, or subject to specific conditions or prohibitions.
-
D.
controlsFranchiseType
Indicates that one entity has authority to determine or manage the type or category of franchise associated with another entity.
-
E.
sharesFranchiseWith
Indicates that two entities belong to or are associated with the same franchise or overarching media/brand series.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf5fb588190ada4ec7d8087619c |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:18 p.m.