Triple
T15573607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | electorate of Fannie Bay |
E374308
|
entity |
| Predicate | isInAustralia |
P119239
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [electorate of Fannie Bay, isInAustralia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInAustralia Context triple: [electorate of Fannie Bay, isInAustralia, true]
-
A.
isOneOfMainlandAustralianTimeZones
Indicates that an entity is a time zone officially used in one of the mainland states or territories of Australia.
-
B.
australiaSupports
Indicates that Australia provides assistance, endorsement, or backing to another entity or action.
-
C.
isSetInCountry
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
-
D.
isInUnitedStates
Indicates that one entity is located within the geographic or political boundaries of the United States.
-
E.
AustraliaOvers
Indicates a relationship where one entity surpasses, exceeds, or goes beyond another in the specific context associated with Australia.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.