Triple
T28112734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Education Policy Act |
E710538
|
entity |
| Predicate | policyMaker |
P169275
|
FINISHED |
| Object | national government of South Africa |
—
|
NE NERFINISHED |
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: national government of South Africa | Statement: [National Education Policy Act, policyMaker, national government of South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyMaker Context triple: [National Education Policy Act, policyMaker, national government of South Africa]
-
A.
policyTool
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
-
B.
policyAim
Indicates that a policy is intended to achieve, promote, or be directed toward a particular goal or objective.
-
C.
policyFramework
Indicates the overarching set of principles, rules, and guidelines that govern how decisions and actions are structured and carried out within a particular domain or context.
-
D.
policyElement
Indicates that something is a component or constituent part of a broader policy.
-
E.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 27, 2026, 9:12 p.m.