Triple
T10652697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African politics |
E251009
|
entity |
| Predicate | civilSocietyActor |
P19134
|
FINISHED |
| Object | trade unions |
—
|
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: trade unions | Statement: [South African politics, civilSocietyActor, trade unions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilSocietyActor Context triple: [South African politics, civilSocietyActor, trade unions]
-
A.
civilSocietySupportedBy
Indicates that a civil society organization receives backing, assistance, or resources from a specified supporter or source.
-
B.
rightsOrganization
Indicates that an entity is an organization responsible for advocating, protecting, or promoting the rights or interests of another entity.
-
C.
typeOfActivist
Indicates that one entity is an activist and specifies the particular kind or category of activism they are associated with.
-
D.
advocacyOrganization
chosen
Indicates that an organization actively supports, promotes, or works on behalf of a cause, issue, or group through advocacy activities.
-
E.
nonProfitSector
Indicates that an entity operates within or is associated with the nonprofit sector, typically focusing on mission-driven rather than profit-driven activities.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff78ec88190a4d1863fe87245f6 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.