Triple
T7270318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Paterson |
E161085
|
entity |
| Predicate | stateElectorateType |
P76050
|
FINISHED |
| Object | rural and provincial |
—
|
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: rural and provincial | Statement: [Division of Paterson, stateElectorateType, rural and provincial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateElectorateType Context triple: [Division of Paterson, stateElectorateType, rural and provincial]
-
A.
electorateState
Indicates the state or region in which a given electorate (voting district or constituency) is located or to which it belongs.
-
B.
typeOfElector
Indicates the specific category or classification of an elector within an electoral or voting context.
-
C.
electorateLevel
Indicates the degree or tier of political constituency or voting body at which a decision, representation, or electoral process is defined or applied.
-
D.
electorateCategory
Indicates the classification of an electorate or voter group into a specific category based on defined electoral or demographic criteria.
-
E.
locatedInStateElectorate
Indicates that one entity is geographically situated within the boundaries of a particular state electoral district.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:58 p.m.