Triple
T557076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reserve Bank of Australia |
E11964
|
entity |
| Predicate | currentGovernorStartDate |
P16360
|
FINISHED |
| Object | 18 September 2023 |
—
|
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: 18 September 2023 | Statement: [Reserve Bank of Australia, currentGovernorStartDate, 18 September 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentGovernorStartDate Context triple: [Reserve Bank of Australia, currentGovernorStartDate, 18 September 2023]
-
A.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
B.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
C.
hasResidentGovernor
Indicates that a place or territory has an officially appointed governor who resides there and exercises governing authority over it.
-
D.
currentSpeakerAssumedOffice
Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
-
E.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.