Triple
T6893352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Court of Australia |
E159104
|
entity |
| Predicate | hearsMatters |
P73986
|
FINISHED |
| Object | throughout all Australian states and territories |
—
|
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: throughout all Australian states and territories | Statement: [Federal Court of Australia, hearsMatters, throughout all Australian states and territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearsMatters Context triple: [Federal Court of Australia, hearsMatters, throughout all Australian states and territories]
-
A.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
-
B.
hearsFrom
Indicates that one entity receives information, communication, or a message from another entity.
-
C.
mayHear
Indicates that one entity is permitted or able to hear sounds, speech, or audio produced by another entity.
-
D.
canHear
Indicates that one entity is able to perceive sounds produced by another entity.
-
E.
usuallyHears
Indicates that one entity typically or habitually perceives sounds produced by another entity.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d930ab548190953291d63cbc721b |
completed | March 27, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:24 p.m.