Triple
T20945273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson’s Promontory National Park |
E515828
|
entity |
| Predicate | locatedAtSouthernmostPointOf |
P17679
|
FINISHED |
| Object | mainland Australia |
—
|
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: mainland Australia | Statement: [Wilson’s Promontory National Park, locatedAtSouthernmostPointOf, mainland Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtSouthernmostPointOf Context triple: [Wilson’s Promontory National Park, locatedAtSouthernmostPointOf, mainland Australia]
-
A.
southernmost
Indicates that one entity is located farther to the south than all other comparable entities in a given set or context.
-
B.
southernmostInhabitedIslandOf
Indicates that one island is the southernmost inhabited island within the territory, region, or jurisdiction of another entity.
-
C.
isSouthernmostPartOf
chosen
Indicates that one entity is the geographically furthest south portion or section of another entity.
-
D.
southernmostCityOf
Indicates that one city is the geographically furthest south among all cities within a specified region or set.
-
E.
locatedSouthOf
Indicates that one entity is positioned geographically to the south of another entity.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad7f67481908675e76736f5e0c3 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:55 p.m.