Triple
T4466100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | electoral district of Cessnock |
E98380
|
entity |
| Predicate | previousElectoralSystem |
P35589
|
FINISHED |
| Object | 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: proportional representation | Statement: [electoral district of Cessnock, previousElectoralSystem, proportional representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousElectoralSystem Context triple: [electoral district of Cessnock, previousElectoralSystem, proportional representation]
-
A.
electoralSystemContext
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
B.
electoralSystemConcerned
chosen
Indicates that something is related to, affected by, or focused on a particular electoral system.
-
C.
previousGoverningBody
Indicates that one governing body served in authority immediately before another specified governing body.
-
D.
electoralHistory
Indicates the historical record of elections or voting outcomes associated with an entity.
-
E.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.