Triple
T13041586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section 128 of the Australian Constitution |
E327205
|
entity |
| Predicate | providesFor |
P1261
|
FINISHED |
| Object | special procedure if one House twice passes a proposed law and the other House rejects or fails to pass it |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: special procedure if one House twice passes a proposed law and the other House rejects or fails to pass it | Statement: [Section 128 of the Australian Constitution, providesFor, special procedure if one House twice passes a proposed law and the other House rejects or fails to pass it]
Provenance (2 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:56 p.m.