Triple
T7614423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurrajong |
E172324
|
entity |
| Predicate | electsChamber |
P63783
|
FINISHED |
| Object | unicameral legislature |
—
|
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: unicameral legislature | Statement: [Kurrajong, electsChamber, unicameral legislature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsChamber Context triple: [Kurrajong, electsChamber, unicameral legislature]
-
A.
electedChamber
Indicates that an individual has been chosen through an election to serve as a member of a specific legislative chamber.
-
B.
electsToChamber
chosen
Indicates that a group or body selects or votes individuals into membership of a specific legislative chamber.
-
C.
currentRepresentativeChamber
Indicates that an entity currently serves as a representative in a specific legislative chamber.
-
D.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
E.
nominatingBody
Indicates the entity (such as a person or organization) that formally puts forward another entity for an award, position, or recognition.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa4392e881908ed1ab3f64b41600 |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.