Triple
T7845546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labour Party (South Africa) |
E181913
|
entity |
| Predicate | segregatedRepresentation |
P79326
|
FINISHED |
| Object | Coloured-only parliamentary structures |
—
|
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-only parliamentary structures | Statement: [Labour Party (South Africa), segregatedRepresentation, Coloured-only parliamentary structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segregatedRepresentation Context triple: [Labour Party (South Africa), segregatedRepresentation, Coloured-only parliamentary structures]
-
A.
separatedInto
Indicates that something has been divided or split into distinct parts, groups, or components.
-
B.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
-
C.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
D.
separatesState
Indicates that one entity serves as a dividing boundary or barrier between two distinct states or regions.
-
E.
symbolicallySeparated
Indicates that two entities are kept apart or distinguished from each other in a conceptual, abstract, or representational (rather than physical) way.
- 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_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. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:49 p.m.