Triple
T7845557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labour Party (South Africa) |
E181913
|
entity |
| Predicate | primaryIssueFocus |
P57423
|
FINISHED |
| Object | Coloured civil and political rights |
—
|
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: Coloured civil and political rights | Statement: [Labour Party (South Africa), primaryIssueFocus, Coloured civil and political rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIssueFocus Context triple: [Labour Party (South Africa), primaryIssueFocus, Coloured civil and political rights]
-
A.
primaryIssue
chosen
Indicates that the related item is the main or most important issue among a set of issues.
-
B.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
C.
primaryIntent
Indicates the main purpose, goal, or motivation underlying an action, event, or relationship among entities.
-
D.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
-
E.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163d92fc8190a4efcb08d6b3d404 |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:49 p.m.