Triple
T16726637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngwathe Local Municipality Council |
E406479
|
entity |
| Predicate | compositionSystem |
P9513
|
FINISHED |
| Object | mixed-member proportional representation |
—
|
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: mixed-member proportional representation | Statement: [Ngwathe Local Municipality Council, compositionSystem, mixed-member proportional representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionSystem Context triple: [Ngwathe Local Municipality Council, compositionSystem, mixed-member proportional representation]
-
A.
compositionForm
Indicates the structural or organizational form in which something is composed or arranged.
-
B.
compositionEngine
Indicates that one entity serves as the engine or core component responsible for composing, generating, or assembling another entity.
-
C.
compositionRule
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
-
D.
compositionMethod
chosen
Indicates the technique or process by which something is composed, created, or constructed.
-
E.
representationSystem
Indicates a system or framework used to represent, encode, or symbolize information, concepts, or entities.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38747e43c8190a44487c4a9c94c7b |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.