Triple
T4139245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Party of Australia – NSW |
E89231
|
entity |
| Predicate | primaryVoterDemographic |
P343
|
FINISHED |
| Object | farmers |
—
|
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: farmers | Statement: [National Party of Australia – NSW, primaryVoterDemographic, farmers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryVoterDemographic Context triple: [National Party of Australia – NSW, primaryVoterDemographic, farmers]
-
A.
typicalAgeOfVoters
Indicates the usual or most common age range of individuals who participate as voters in elections or voting processes.
-
B.
eligibleVoters
Indicates that the referenced entities are legally permitted and qualified to vote in a given election or jurisdiction.
-
C.
electorateCharacteristics
Indicates the defining demographic, social, or political attributes that characterize a particular electorate.
-
D.
demographics
chosen
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
E.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.